Case study: How to balance mechanical and thermal conductivity properties of die-cast aluminum alloy

Effect of heat treatment on mechanical and thermal conductivity properties of die-cast aluminum alloy ZL102 was studied using microstructure characterization, mechanical and thermal conductivity testing. Results show that physical phases in room temperature structure of die-cast aluminum alloy ZL102 include primary α (Al), aluminum-silicon eutectic structure, primary crystalline silicon and a small amount of intermetallic compounds. After solid solution treatment, silicon phase in die-cast aluminum alloy ZL102 fuses and spheroidizes; after aging treatment, fine point-like second phase precipitates on α (Al) matrix, and sphericity of silicon phase at grain boundary is further improved. Among three heat treatment states, aluminum alloy ZL102 has the highest mechanical properties after solution treatment, but the lowest thermal conductivity. In summary, aging treatment takes into account mechanical and thermal conductivity properties of alloy. At this time, tensile strength of alloy is 212MPa, elongation is 3.9%, and room temperature thermal conductivity is 142.7W/(m·K).
With advent of 5G communication era, integration of electronic communication equipment and products is gradually increasing, and amount of heat generated per unit volume is also increasing. At this time, relevant materials and structures are required to have good thermal conductivity properties to ensure normal operation of equipment and products and extend their service life. Take 5G communication filter as an example. It has high power and high integration. In order to improve heat dissipation capacity, filter housing structure is usually designed with many irregular thin-walled heat sinks. For mass forming and manufacturing of this type of structural shells, die-casting process has significant efficiency and cost advantages. Density of metallic aluminum is only 1/3 of steel and iron, and it has huge potential for lightweighting. In recent years, it has been widely used in automobiles, communications, aerospace and other fields. Room temperature thermal conductivity of pure aluminum is approximately 237 W/(m·K), and it has excellent thermal conductivity. However, strength of pure aluminum is low. In actual production, some alloying elements are often added to improve its mechanical properties, and addition of alloying elements will have a certain impact on its thermal conductivity properties. Usually, alloying elements strengthen aluminum alloys in the form of solid solution atoms, intermediate phases or precipitation strengthening phases. However, whether it exists in the form of solid solution atoms or intermediate phases, it will bring a large number of vacancies, dislocations and other crystal defects to alloy, and precipitated phase will also cause lattice distortion in alloy. Existence of these defects increases probability of free electron scattering in alloy and reduces number of electrons for effective heat conduction, resulting in a reduction in thermal conductivity of alloy.
In order to take into account mechanical and thermal conductivity properties of aluminum alloys, researchers have conducted in-depth research. Wen Cheng studied effects of 22 alloy elements on electrical and thermal conductivity of industrial pure aluminum and found that different elements have different effects. Addition of transition elements such as Mn, Cr, etc. will cause electrical and thermal conductivity of pure Al to decline rapidly, while Zn, Sr and rare earth metamorphic elements have less impact. Li Linjun found that different magnesium to silicon ratios have different effects on thermal conductivity of aluminum alloy 6063. When magnesium to silicon ratio is 1.5, alloy has the best thermal conductivity. Lumley et al. studied effects of alloy composition and heat treatment on thermal conductivity of Al-Si-Cu aluminum alloy die castings. Study showed that thermal conductivity of alloys with certain compositions can be increased by more than 60% through use of heat treatment. Kim et al. tested thermal diffusivity of Al-1Si and Al-9Si alloys under different heat treatment conditions, studied relationship between thermal diffusivity and silicon phase solid solution and precipitation, concluded that re-precipitation of dissolved silicon in solution-treated samples will increase thermal diffusivity of alloy. Choi et al. studied effect of mold temperature on thermal and mechanical properties of aluminum alloys and concluded that the higher mold temperature, the slower solidification rate of alloy. At this time, the larger silicon particles are, the better thermal properties of alloy are. After aging treatment, mechanical strength of alloys at different mold temperatures becomes similar.
This article takes a 5G communication filter housing as an actual die-cast aluminum alloy ZL102 as research object, uses flash method to test thermal conductivity of alloy at different temperatures, changes microstructure of alloy through heat treatment to explore impact of alloy microstructure changes on mechanical and thermal conductivity properties, with a view to providing a reference for improving mechanical and thermal conductivity properties of aluminum alloy die castings in actual production.

01 Experimental procedure

1.1 Sample preparation

An actual die-cast product of a 5G communication filter housing was used as test piece. As shown in Figure 1a, die-cast piece weighs about 5.4kg and has an overall size of about 539mm * 410mm * 45mm. Die-casting part has a complex structure and shape. Wall thickness of main body is only about 2mm, while wall thickness at mounting lugs and other locations reaches 6mm. Sampling position for microstructure characterization, mechanical and thermal conductivity testing in test is shown in Figure 1b. Wall thickness at this position is wall thickness of main body of die casting, which is well representative and convenient for sampling. Chemical composition of aluminum alloy ZL102 measured by X-ray fluorescence spectrometer (XRF) is shown in Table 1. Mechanical properties tensile specimens were prepared by wire cutting, and dimensions were determined in accordance with national standard GB/T228.1-2010. At the same time, Φ4mm*1mm disc samples were wire-cut for testing thermal conductivity of alloy. Heat treatment of samples is divided into three control groups. One group is in die-cast state without heat treatment; second group undergoes solution treatment at 500℃*4h; and third group undergoes aging treatment at 200℃*3h based on second group.

Figure 1 Actual die-cast product of a 5G communication filter housing

1.2 Test methods

Metallographic samples were mechanically ground with 240#, 600#, 1200#, 1500#, and 2000# sandpaper in sequence, polished with diamond polishing agent, then used 95%H2O+2.5%HNO3+1.5%HCl+1%HF Keller’s reagent to corrode for 10~20s. Structural morphology was observed under a Leica DM2700M optical microscope (OM) and a JEOL 6301F scanning electron microscope (SEM). Instron 5967 electronic universal testing machine was used to conduct room temperature tensile test. Tensile speed was 2mm/min. Mechanical property test data was average of 5 effective specimens.
According to physical laws of heat conduction, temperature field inside object will change with time during heat conduction, which makes it difficult to directly measure thermal conductivity. In this paper, based on measuring density, specific heat capacity and thermal diffusion coefficient of alloy, thermal conductivity of alloy is calculated using equation (1)
λ=αρCρ (1)
In formula: λ is thermal conductivity of sample to be measured, unit is W/(m·K); α is thermal diffusion coefficient of sample to be measured, unit is mm2/s; ρ is density of sample to be measured, unit is g /cm3; Cρ is specific heat capacity of sample being tested, in J/(g·K). LFA457 laser thermal conductivity meter was used to measure thermal diffusion coefficient of sample, specific heat capacity was measured using TA-DSC2500 differential scanning calorimetry, and Archimedean drainage method was used to measure density of sample.

02 Aluminum alloy ZL102 die casting structure

Filter housing is die-cast from aluminum alloy ZL102. According to Table 1, silicon content in alloy is 12.8% (mass fraction, same below), which is close to eutectic composition of aluminum-silicon binary alloy (Si content of eutectic composition point in Al-Si binary equilibrium phase diagram is 12.6%). When alloy solidifies, eutectic reaction L→α(Al) + β(Si) mainly occurs, forming a large amount of α(Al) + Si eutectic structure. However, due to high cooling rate of alloy during die-casting process and solidification process away from equilibrium, phases present in die-casting structure of aluminum alloy ZL102 at room temperature include primary α (Al), aluminum-silicon eutectic structure, primary crystal silicon and a small amount of intermetallic compounds.. Figure 2 shows surface and core microstructure of die-casting obtained by OM. Gray-white matrix is primary α (Al), and there are a large number of gray-black alternating aluminum-silicon eutectic structures distributed between matrix, as well as needle-shaped / lath-shaped primary crystal silicon. Comparing Figure 2a and Figure 2b, surface structure is finer and more uniform. This is because surface layer of die casting is in direct contact with mold wall during forming. Alloy has a high cooling rate and a high degree of supercooling, making grains in surface structure finer and more uniform. In addition, a small amount of large gray polygonal structures were found in core structure of die casting, as shown in Figure 2b. Since iron content in alloy composition is slightly higher, it is initially judged to be an iron-containing phase. Alloy phase composition was tested using X-ray diffraction (XRD), with a scanning range of 10°~90° and a scanning speed of 4°/min. Test results were imported into MDI Jade 6 for analysis. Results are shown in Figure 3. It can be seen from XRD test results that there are only α (Al) and Si phases in alloy, and no iron-containing intermetallic compounds were detected. Reason for above situation may be that content of intermetallic compounds in alloy is low, resulting in XRD not detecting detected.

SiMgFeMnCuZnTiAl
12.80.0190.9150.1840.2240.1270.001magin

Table 1 Chemical composition of aluminum alloy ZL102 wB/%

Figure 2 Microstructure of aluminum alloy ZL102 die casting

Figure 3 XRD pattern of die-cast aluminum alloy ZL102
SEM was used to further analyze the above polygonal phases, as shown in Figure 4. Based on energy spectrometer (EDS) results (Table 2), it is speculated that it is a complex AiSiFeMn quaternary intermetallic compound. Based on some literature such as Yuan, Wang, etc., it was determined that phase is α-Al 15 (Mn, Fe)3Si2. This phase is further evolved by adding Mn element to β-Al5FeSi phase. When β-Al5FeSi phase is formed, some Mn atoms take away positions occupied by Fe atoms in β phase, which is equivalent to Mn atoms partially replacing Fe atoms, thus forming AlSiFeMn quaternary composite phase.

Figure 4 SEM image of polygonal phase

ElementAlSiFeMnCr
Quality score54.6313.3821.796.523.67
Atomic fraction65.7215.4712.673.852.29

Table 2 EDS analysis results of point P in Figure 4 %

03 Effect of heat treatment on die casting structure

Figure 5 compares and analyzes aluminum alloy ZL102 die-casting structure before and after heat treatment. It can be seen that primary α (Al) changes little before and after heat treatment, and dendrite orientation has no obvious rules, while morphology and distribution of silicon phase have changed significantly. Silicon phase in die-cast structure shows a needle-like/lath-like distribution, which seriously splits α(Al) matrix; after solid solution treatment, silicon element originally dissolved into α(Al) matrix in solid solution stage precipitates, showing a fine point-like shape on α-Al matrix, while silicon phase at grain boundary is more rounded and sphericity is further improved. For polygonal AiSiFeMn quaternary intermetallic compound that appears in die-casting structure, its morphology does not change significantly during solution and aging treatment processes. It is speculated that reason is that solution treatment temperature in this article is not sufficient to dissolve it into α(Al) matrix. It can also be seen from Figure 5 that there are a certain number of pores distributed in die-casting structure. Pores in structure have a tendency to increase after solution treatment, but pores do not expand further with continued aging treatment.

Figure 5 Comparative analysis of die-cast, solid solution and aging structures

04 Effect of heat treatment on mechanical properties and thermal conductivity

Mechanical properties of die-cast aluminum alloy ZL102 under different heat treatment processes are shown in Figure 6. It can be seen that in terms of strength and elongation, solution-treated sample is better than die-cast and aging-treated sample. Its tensile strength and elongation are 222.8MPa and 6.1% respectively. Compared with die-cast state, tensile strength has increased by 9.2%, and elongation has been significantly improved, increasing by 205 %, while mechanical properties of aged specimens are in the middle. Analyzing reasons, although there have been studies that ordinary die castings are not suitable for heat treatment due to existence of pores, and aluminum alloy ZL102 is a non-heat treatment strengthened alloy. However, fusing and spheroidization of silicon phase during solid solution treatment process significantly improves its splitting effect on α (Al) matrix, reduces stress concentration generated around alloy when it is loaded, is conducive to improvement of alloy strength and elongation. After further aging treatment, mechanical properties of alloy have declined to a certain extent compared to solid solution state. Reason is that silicon phase precipitated in α (Al) grain boundaries and solid solution further aggregates and grows, causing coarsening, which damages mechanical properties of alloy, no aging strengthening phase precipitates during aging process of alloy.

Figure 6 Effect of heat treatment on mechanical properties of die-cast aluminum alloy ZL102
Figure 7 shows influence of different temperatures and heat treatment processes on thermal conductivity of die-cast aluminum alloy ZL102 measured in experiment. First of all, it can be seen that thermal conductivity of alloy in three states of die-casting, solid solution and aging increases with increase of temperature. From room temperature to 300℃, it shows a trend of rapid growth first and then slow growth. This changing trend is mainly related to thermal conductivity mechanism of alloys. For general metals, thermal conductivity consists of electronic thermal conductivity and phonon thermal conductivity. Correspondingly, thermal resistance is also divided into electronic thermal resistance and phonon thermal resistance. Electronic thermal resistance is caused by electrons being scattered by various media and consists of electron-phonon scattering and electron-defect scattering. Phonon thermal resistance is also determined by two processes: one is collision between phonons caused by nonlinear vibration of crystal lattice; the other is collision between phonons and defects in solid. When temperature is low, vibration amplitude of atoms on crystal lattice is very small, and contribution of phonons to thermal conductivity is small. Thermal conductivity is dominated by electrons. At this time, thermal conductivity of alloy is mainly determined by interaction between electrons and defects. Number of internal defects in alloy basically does not change with temperature changes in low-temperature region, and movement rate of electrons basically remains unchanged whether in the high-temperature or low-temperature region. At this time, mean free path of electrons can be approximately considered to be a constant. At this time, thermal conductivity of alloy is mainly determined by specific heat, and specific heat has a linear relationship with temperature. Therefore, thermal conductivity of alloy in three heat treatment states increases rapidly with increase of temperature at the beginning. As temperature continues to rise, vibration of atoms in alloy under three heat treatment states slowly intensifies. At this time, scattering effect of phonons on electrons begins to increase, probability of electrons being scattered increases, and mean free path of electrons begins to decrease, which causes thermal conductivity of alloy to slowly increase as temperature continues to increase.

Figure 7 Effect of temperature and heat treatment process on die-cast aluminum alloy ZL102
Effect of thermal conductivity
Comparing thermal conductivity of alloys in three heat treatment states in Figure 7, it can be seen that die-cast alloy has the highest thermal conductivity at different temperatures. That is, solution and aging treatment processes in this article cannot improve thermal conductivity of die-cast aluminum alloy ZL102, but instead reduce thermal conductivity of alloy. Analysis of reasons shows that there are a large number of solid solution atoms in the sample after solution treatment, which causes lattice distortion, resulting in an increase in crystal defects in alloy, an increase in probability of electrons being scattered, a decrease in mean free path of electrons, and a significant reduction in thermal conductivity of alloy. After aging treatment, thermal conductivity of alloy recovers somewhat compared to solid solution state. This is because second phase precipitates during aging treatment, which reduces solid solubility of alloy and reduces degree of lattice distortion. However, it can be seen that thermal conductivity of aged alloy is still lower than that of die-cast state. This is because second phase precipitated during aging treatment will increase phase interface of alloy, which will in turn increase probability of electrons being scattered, reducing thermal conductivity of alloy. Generally speaking, among negative effects of alloying elements on thermal conductivity of aluminum alloy ZL102, solid solution form is greater than precipitated phase form. In addition to solid solution and precipitation of alloy elements, growth of grains and pores in structure of die-cast aluminum alloy ZL102 during heat treatment process will also have a certain impact on thermal conductivity of alloy. Relevant studies have shown that grain growth reduces grain interface of alloy and can improve thermal conductivity of alloy to a certain extent, while existence of holes will obviously weaken thermal conductivity of alloy.

05 in conclusion

(1) Phases in die-casting structure of aluminum alloy ZL102 at room temperature include primary α (Al), aluminum-silicon eutectic structure, primary crystal silicon and a small amount of intermetallic compounds. Polygonal phase is AlSiFeMn quaternary composite phase.
(2) After solution treatment, silicon phase in die-casting structure of aluminum alloy ZL102 has fused and spheroidized; after aging treatment, fine point-like second phase precipitates on α(Al) matrix, and silicon phase balls at grain boundaries degree further increased.
(3) Among the three heat treatment states, aluminum alloy ZL102 has the highest mechanical properties after solution treatment. Tensile strength and elongation are 222.8MPa and 6.1% respectively, which are respectively increased by 9.2% and 205% compared with die-cast state. However, At this time, thermal conductivity of alloy is the lowest, and thermal conductivity at room temperature drops from 155.8 W/(m·K) in die-cast state to 127.8 W/(m·K). In summary, aging treatment takes into account mechanical and thermal conductivity properties of alloy. At this time, tensile strength of alloy is 212MPa, elongation is 3.9%, and room temperature thermal conductivity is 142.7 W/(m·K).

Simulation and optimization of magnesium alloy automotive head-up display bracket die-casting proces

At present, how to reduce resource consumption and environmental pollution has become primary issue for human sustainable development. To effectively solve this problem, automobile lightweighting has received widespread attention. One of effective ways to achieve lightweight automobiles is to use new lightweight materials to replace traditional metal materials and process new lightweight materials into automobile parts through advanced technology. This puts higher requirements on traditional automobile manufacturing industry. As the lightest metal structural material, magnesium alloy is widely used in die-casting production of automotive parts. However, a large number of defects will occur in actual die-casting production, resulting in scrapping of castings. Because of its low qualification rate, magnesium alloy manufacturing industry development faces huge challenges.
In order to further promote application of magnesium alloy in automobile lightweight technology, structural design, mold design and die-casting test of magnesium alloy automobile head-up display bracket (HUD) were carried out to explore feasibility of magnesium alloy application in automobile thin-walled structural parts, mainly involving computer simulation and die-casting process parameter optimization. It is proposed to optimize target of minimum air entrainment volume and minimum shrinkage rate, use CAE technology to simulate filling process of automobile HUD, conduct theoretical analysis and optimization of parameters such as pouring temperature, mold preheating temperature and injection speed through Minitab Taguchi test, and obtain an optimized process parameter combination, aiming to provide reference for production of automotive HUD. Two pouring system solutions were designed for head-up display bracket (HUD) based on Magma software, and optimization solution was given through numerical simulation analysis. On this basis, Taguchi experiments were used to study effects of pouring temperature, mold preheating temperature and injection speed on air entrainment volume and shrinkage rate of automobile HUD during die-casting process, and optimized die-casting process parameters were obtained.

Graphical results

Research material is AM60B alloy, and its chemical composition is shown in Table 1. Because of its high strength and good corrosion resistance, it is widely used in production of housings, thin or special-shaped brackets and other parts for electrical products. As a component of automotive head-up display bracket, HUD AM60B alloy fully meets its performance requirements. Magnesium alloy HUD has high requirements on processing accuracy and surface quality due to its thin wall thickness and complex structure. UG12.0 software was used to design three-dimensional mold of HUD parts, and two gating system solutions were designed, as shown in Figure 1.

Figure 1 Three-dimensional mold with gating system

wB
AlMnZnSiFeCuNiBeMg
5.840.350.180.040.0030.070.0010.001margin

Table 1 Chemical composition of AM60B magnesium alloy (%)

Figure 2 Temperature distribution diagram of two schemes

Figure 3 Simulation results of mold filling speed for two schemes
It can be seen that temperature distribution in Scheme 1 is very uneven. There is a large area near middle of casting where temperature is lower, not exceeding 630℃, while temperature in other areas reaches above 645℃, forming a large temperature difference. As a result, speed of this area during solidification process is inconsistent, and there is an obvious solidification time difference, resulting in that post-solidified area cannot be fed by molten metal. Serious shrinkage defects are prone to occur. Temperature distribution of Scheme 2 is relatively uniform, and temperature difference at main body of casting does not exceed 3℃. In terms of filling temperature, scheme 2 is better than scheme 1. When filling reaches 40%, filling speed at position A in Scheme 1 is too fast, reaching more than 50m/s, so that faster molten metal will fill casting first, resulting in uneven filling of casting. When filling reaches 73%, because molten metal in area A is filled too fast, an unfilled blank area will be formed when mixed with slower molten metal, as shown in area B in Figure 3c. Because this area is surrounded by two streams of molten metal and then slowly filled, this area is prone to suffocation. When filled to 90%, a large area where it is easy to hold one’s breath appears, as shown in area C in Figure 3e. Compared with Scheme 1, Scheme 2 has a better filling speed simulation effect.

LevelPouring temperature (A)/℃Mold preheating temperature (B)/℃Injection speed (C)/(m*s-1)
16601604.5
26801805.5
37002006.5

Table 2 Taguchi test factors-level table

Pouring temperature/℃Mold preheating temperature/℃Injection speed/(m*s-1)Air entrainment rate y1/%Shrinkage rate y2/%
6601604.51.470.401
6601805.51.510.357
6602006.51.430.398
6801605.51.440.471
6801806.51.410.411
6802004.51.540.393
7001606.51.460.537
7001804.51.550.479
7002005.51.440.457

Table 3 Taguchi orthogonal table and result statistics
For the two response targets of air entrainment rate and shrinkage porosity, they are both consistent with small characteristics in Taguchi test quality characteristics. Therefore, calculation formula of signal-to-noise ratio S/N is:

In the formula, n represents number of tests; i represents i-th test.

Noy1S/N1y2S/N2
11.47-3.3460.4017.937
21.51-3.5800.3578.947
31.43-3.1070.3988.002
41.44-3.1670.4716.540
51.41-2.9840.4117.723
61.54-3.7500.3938.112
71.46-3.2870.5375.401
81.55-3.8070.4796.393
91.44-3.1670.4576.802

Table 4 Signal-to-noise ratio calculation results
When only considering air entrainment rate, it can be seen from Table 5 that C>B>A, that is, influence of die-casting process parameters on air entrainment rate from large to small is: injection speed, mold preheating temperature, pouring temperature. It can be seen that when only considering air entrainment rate, die-casting process parameter combination that satisfies maximum signal-to-noise ratio S/N1 is A2B1C3, that is, pouring temperature is 680℃, mold preheating temperature is 160℃, and injection speed is 6.5m/ s.

FactorLevelS/N1 meanExtremely bad R1S/N2meanExtremely bad R2
A1-3.3440.1198.2952.097
2-3.3017.458
3-3.4206.198
B1-3.2670.1906.6261.062
2-3.4577.688
3-3.3417.639
C1-3.6340.5087.4810.439
2-3.3057.429
3-3.1267.042

Table 5 Range analysis table

SourceDegrees of freedomSum of squared deviationsMean squareFSignificance
Pouring temperature20.0006220.0003110.10Not obvious
Mold preheating temperature20.0016890.0008440.28Generally
Injection speed20.0116220.0058111.93Significantly
Error20.0060220.003011  
Total80.019956   

Table 6 Variance analysis table
When only considering shrinkage porosity, it can be seen that A>B>C, that is, influence of die-casting process parameters on shrinkage porosity from large to small is: pouring temperature, mold preheating temperature, injection speed. When only shrinkage porosity is considered, die-casting process parameter combination that satisfies maximum signal-to-noise S/N2 is A1B2C1, that is, pouring temperature is 660℃, mold preheating temperature is 180℃, and injection speed is 4.5m/s.

SourceDegrees of freedomSum of squared deviationsMean squareFSignificance
Pouring temperature20.0170950.00854714.96Significantly
Mold preheating temperature20.0057960.0028985.07Generally
Injection speed20.0010220.0005110.89Not obvious
Error20.0011430.000571  
Total80.025056   

Table 7 Variance analysis table

Figure 4 Comparison of air entrainment rate and shrinkage rate before and after optimization

Figure 5 HUD die casting

In conclusion

During die-casting process of AM60B magnesium alloy automobile HUD bracket, when only air entrainment rate is considered, injection speed has the greatest impact, followed by mold preheating temperature, and pouring temperature has the least impact. When only shrinkage porosity is considered, pouring temperature has the greatest impact, followed by mold preheating temperature, and injection speed has the least impact. When air entrainment rate and shrinkage rate are comprehensively considered, optimal process parameter combination is: pouring temperature is 660℃, mold preheating temperature is 200℃, and injection speed is 6.5m/s.

Automation! Automatic detection of defects in die castings based on machine learning

Die castings are widely used in automobiles, medical equipment, electronic equipment, communication equipment and other fields. Their performance will affect service life of entire equipment, it is of positive significance to conduct defect detection and life assessment. Die castings are prone to defects during production process, such as water lines, blistering, shrinkage cavities, discoloration, mechanical strain, deformation, cracks, flash, fleshy and mold-sticking strains, etc. Traditional methods are mostly manual detection, which has poor detection results, is time-consuming and labor-intensive. In recent years, deep learning technology has attracted increasing attention. Its deep integration with factory production can greatly improve detection efficiency of casting defects and improve working environment.
Researchers improved YOLACT algorithm, which can identify defects and perform semantic segmentation. There were 67 sub-defects and 2,727 defect maps in test. Defect recognition rate increased from initial 62.0% to 65.8%, and detection rate was also optimized. Cascade model is used to solve problems of missing samples and uneven proportions, and defect coordinates are determined by comparing positive samples with defective samples. At the same time, by training Mask-RCNN model, defects can be directly located and defect types identified. Use lighter MobileNetv2 network to replace original backbone network DarkNet53 of Yolov3, introduce CIoU mechanism to more accurately calculate position loss. For a data set mainly composed of scratch defects, defect recognition rate is increased by 5% based on original Yolov3 model, and detection speed is increased by 23 f/s. Two aluminum die-casting defect sets are generated through three-dimensional ellipsoid model and GAN model. Defect set consists of a large number of normal castings and a small number of defective castings. Results show that three-dimensional ellipsoid model is more effective than GAN model, with mAP (mean average precision) reaching 71.02%. BX-Net network using DenseNet121 as backbone can identify defects in X-ray images of aviation castings with an accuracy of 99%.
Current research suffers from lack of data sets and single defect types, which cannot better reflect complexity of actual production, or defect types can reflect actual situation but model accuracy is not enough. This study expanded collected data set through self-developed software to improve model identification capabilities. Defect set used has 21 kinds of defects, which has many types and can better reflect actual production situation. At the same time, model is optimized to improve accuracy and efficiency of defect detection, aiming to provide a reference for defect detection of similar castings.

Graphical results

Data set plays role of “trainer” and “detector” in deep learning detection. Lack of data sets will lead to problems such as overfitting and inaccurate detection of model. Since there are fewer defective parts in actual production, data set obtained through actual sampling alone is far from enough. Therefore, when there are few samples, geometric transformations, such as rotation and scaling, are used to expand data set to better assist model defect identification. Augment data set through rotation and scaling. Step of rotation is to set an angle starting point and end point, and give program a certain step length. Image is automatically rotated and transformed through program, as shown in Figure 1, and xml file is generated based on pre-annotation file. Scaling is divided into equal scaling and non-equal scaling, see Figure 2 and Figure 3.

Figure 1 Effect diagram before and after rotation

Figure 2 Effect diagram before and after proportional scaling of length and width

Figure 3 Effect diagram before and after specifying length and width scaling
Mosaic data enhancement method evolved from CutMix algorithm. Algorithm principles of two are relatively similar, but Mosaic uses 4 pictures for splicing, which better enhances diversity of data. At the same time, pictures with different semantics are also added to enhance robustness of model, enhance normalization layer effect, and improve target detection mAP. Principle is shown in Figure 4. Mixup is a method of linearly mixing images at a certain ratio to expand data set. Through Mixup method, linear expression between training samples can be enhanced, making decision boundaries between classes smoother, improving stability of model training and generalization ability of model, Mixup has less computing overhead. It can expand data set while also taking into account speed of model training.

Figure 4 Principle of Mosaic data enhancement

Figure 5 Defect pictures before Mixup

Figure 6 Defect pictures after Mixup
YOLOX is developed based on YOLOV3 model by adding special structures such as anchorless frames and decoupled heads. According to different networks, there are 6 models in total, which are nano, tiny, s, m, l, and x in order of network size. After comprehensive consideration, YOLOX-S model was selected to detect defects in die castings. Network structure of YOLOX model consists of input end (Input), backbone network (Backbone), feature fusion network (Neck), and prediction network (Prediction) using decoupling head. Basic structure of ShuffleNetv2 is composed of three structures: channel splitting, depth-separable convolution and channel shuffling. ShuffleNetv2-plus used is an improved version of ShuffleNetv2, that is, based on original model, Shuffle-Xception module is added; SE channel attention mechanism is introduced in last stage of model training. At the same time, HS (h-swish) activation function is used in last two stages to replace original ReLU activation function and used in conjunction with SE attention mechanism; finally, maximum pooling layer after initial convolution in original model is removed, and dropout mechanism is turned on.

Figure 7 ShuffleNetv2 structure diagram

Figure 8 Shuffle-Xception structure diagram

Figure 9 SE attention mechanism structure diagram
Test uses Ubuntu 18.04.01 version, CPU model is Intel (R) Core (TM) i9-10980XE, GPU model is Geforce RTX 3090, quantity is 2, CUDA version is 11.3, python version is 3.8, and pytorch version is 1.10. Original model network structure Darknet53 is replaced by ShuffleNetv2-plus. Initial learning rate is 1*10-3, Epoch is set to 180, optimizer uses adam, momentum is set to 0.937, weight attenuation is set to 0, and only Mosaic data enhancement is turned on. There are 21 types of defects in data set, and there are only 2 pictures of each defect in initial data set. Independently developed a die-casting defect detection software based on YOLOX model. Through data enhancement module of software, original data set is expanded through geometric transformation operations of rotation and scaling, and image label files are automatically generated. Self-developed software can not only expand defective data set, but also skip labeling data set, thus greatly improving work efficiency. At the same time, software also has model training and defect detection functions, which can better monitor model training progress and defect identification.

Figure 10 Die casting defect detection software interface based on YOLOX model

Formula parametersMeaning
TP(True Positives)Number of positive samples identified by model is actually number of positive samples.
FP(False Positives)Number of positive samples identified by model is actually number of negative samples.
FN(False Negatives)Number of negative samples identified by model is actually number of positive samples
TN(True Negatives)Number of negative samples identified by model is actually number of negative samples
P(Precision)Precision
R(Recall)Recall rate
AP(Average Precision)Average accuracy
P(r)Precision rate is plotted on vertical axis and recall rate is plotted on horizontal axis.

Table 1 Evaluation indicator formula parameters

Figure 11 Comparison of results before and after improvement

Figure 12 4 types of defects that are difficult to identify

Model structuremAP/%
YOLOX86.51
YOLOX-Glou86.82
YOLOX-Focal Loss84.88
YOLOX-GIOU-Focal Loss84.88
ShuffleNetv2-plus-YOLOX84.88

Table 2 Comparison of test results of different model structures

In conclusion

In view of difficulties in collecting die-casting defect detection data sets, as well as high labor intensity and low efficiency of defect detection, we independently developed a die-casting defect detection software based on YOLOX model, which can not only expand data set and generate corresponding labels, but also has functions of monitoring model training and defect detection. By using ShuffleNetv2-plus to replace YOLOX’s Darknet53 network structure, average detection rate of die-casting defects by improved YOLOX model increased from original 86.51% to 89.19%.

Surface treatment 1: electroplating

For seires read, please refer to Series 1, 2, 3.

Electroplating is a process that uses principle of electrolysis to plate a thin layer of other metals or alloys on the surface of certain metals. It is a process that uses electrolysis to attach a metal film to the surface of metal or other material parts to prevent metal oxidation (such as rust), improves wear resistance, conductivity, reflectivity, corrosion resistance (copper sulfate, etc.) and improves appearance. Outer layer of many coins is also electroplated.

Related effects

A technology that uses principle of electrolytic cells to deposit metal coatings on mechanical products that adhere well but have different properties and base materials. Electroplated layer is more uniform than hot dip layer and is generally thinner, ranging from a few microns to dozens of microns. Through electroplating, decorative protective and various functional surface layers can be obtained on mechanical products, workpieces with wear and processing errors can also be repaired.
In addition, it has different functions according to various electroplating needs. Examples are as follows:
1. Copper plating: used as a primer to improve adhesion and corrosion resistance of electroplating layer. (Copper is easily oxidized. After oxidation, patina no longer conducts electricity, so copper-plated products must be protected by copper)
2. Nickel plating: used as base or appearance to improve corrosion resistance and wear resistance (chemical nickel has a higher wear resistance than chromium plating in modern processes). (Note that many electronic products, such as DIN connectors and N connectors, no longer use nickel base, mainly because nickel is magnetic and will affect passive intermodulation in electrical performance)
3. Gold plating: Improve conductive contact resistance and enhance signal transmission. (Gold is the most stable and the most expensive.)
4. Palladium-plated nickel: improves conductive contact resistance, enhances signal transmission, and has higher wear resistance than gold.
5. Tin-lead plating: improves soldering ability and is soon to be replaced by other substitutes (most lead-containing products are now plated with bright tin and matte tin).
6. Silver plating: Improve conductive contact resistance and enhance signal transmission. (Silver has the best performance, is easily oxidized, and also conducts electricity after oxidation)

Electroplating method

Electroplating is divided into rack plating, barrel plating, continuous plating and brush plating, which are mainly related to size and batch size of parts to be plated. Rack plating is suitable for products of general size, such as car bumpers, bicycle handlebars, etc. Barrel plating is suitable for small parts such as fasteners, washers, pins, etc. Continuous plating is suitable for batch production of wire and strip. Brush plating is suitable for local plating or repair. Electroplating solutions include acidic, alkaline, acidic and neutral solutions with added chromium compounds. No matter what plating method is used, plating tank, hangers, etc. that come into contact with products to be plated and plating solution should have a certain degree of versatility.

Plating classification

According to composition of coating, it can be divided into three categories: single metal coating, alloy coating and composite coating.
If classified according to use, it can be divided into: ① protective coating; ② protective decorative coating; ③ decorative coating; ④ repair coating; ⑤ functional coating

Single metal plating

Single metal electroplating has a history of more than 170 years, and 33 metals on periodic table of elements can be produced by electrodeposition from aqueous solutions. Commonly used ones include electroplating of zinc, nickel, chromium, copper, tin, iron, cobalt, cadmium, lead, gold, silver and more than 10 kinds. Coating formed by depositing two or more elements simultaneously on cathode is an alloy coating. Alloy coatings have structural structures and properties that single metal coatings do not have, such as amorphous Ni-P alloys, SN alloys that are not shown in phase diagram, alloy coatings with special decorative appearance, particularly high corrosion resistance, excellent weldability, and magnetic properties.

Composite plating

Composite plating is a process in which solid particles are added to plating solution and co-deposited with metal or alloy to form a metal-based surface composite material to meet special application requirements. According to electrochemical properties between coating and base metal, electroplating can be divided into two categories: anodic coating and cathodic coating. When potential of coating metal relative to base metal is negative, coating acts as an anode when forming a corrosion microbattery, so it is called an anodic coating, such as zinc coating on steel parts; when potential of coating metal relative to base metal is positive, coating acts as cathode when forming a corrosion microbattery, so it is called cathodic coating, such as nickel plating and tin plating on steel parts.
It can be divided into:
① Protective coatings: coatings such as Zn, Ni, Cd, Sn and Cd-Sn are used as anti-corrosion coatings that are resistant to the atmosphere and various corrosive environments;
② Protection. Decorative coatings: such as Cu-Ni-Cr, Ni-Fe-Cr composite coatings, etc., which are both decorative and protective;
③ Decorative coating: such as Au, Ag and Cu. Sun imitation gold plating, black chrome, black nickel plating, etc.;
④ Reparative coating: such as electroplating Ni, Cr, Fe layer to repair some expensive wear parts or processing out-of-tolerance parts;
⑤ Functional coatings: conductive coatings such as Ag and Au; magnetic coatings such as Ni-Fe, Fe-Co and Ni-Co; high-temperature anti-oxidation coatings such as Cr and Pt-Ru; reflective coatings such as Ag and Cr; anti-reflective coatings such as black chromium and black nickel; wear-resistant coatings such as hard chromium, Ni and SiC; anti-wear coatings such as Ni, VIEE, Ni, C (graphite); weldable coatings such as Pb, Cu, Sn and Ag; Pb, Cu, Sn, Ag; anti-carburization Cu plating, etc.

Working principle

Electroplating requires a low-voltage, high-current power supply that supplies power to electroplating tank and an electrolytic device consisting of a plating solution, parts to be plated (cathode) and anode. Composition of electroplating solution varies depending on coating, but they all contain main salts that provide metal ions and can complex
It is a complexing agent that combines metal ions in main salt to form a complex, a buffer used to stabilize pH of solution, an anode activator and special additives (such as brighteners, grain refiners, levelers, wetting agents, stress relievers and fog suppressors, etc.). Electroplating process is a process in which metal ions in plating solution are reduced to metal atoms through electrode reactions under action of an external electric field, and metal deposition is performed on cathode. Therefore, this is a metal electrodeposition process that includes steps such as liquid phase mass transfer, electrochemical reaction, and electrocrystallization.
In plating tank containing electroplating solution, cleaned and specially pretreated parts to be plated serve as cathode, and anode is made of plated metal. The two poles are connected to negative and positive poles of DC power supply respectively. Electroplating solution consists of an aqueous solution containing metal plating compounds, conductive salts, buffers, pH adjusters, additives, etc. After energization, metal ions in electroplating solution move to cathode under action of potential difference to form a plating layer. Metal of anode forms metal ions into plating solution to maintain concentration of metal ions being plated. In some cases, such as chromium plating, an insoluble anode made of lead or lead-antimony alloy is used, which only serves to transfer electrons and conduct current. Concentration of chromium ions in electrolyte needs to be maintained by regularly adding chromium compounds to plating solution. During electroplating, quality of anode material, composition of plating solution, temperature, current density, power-on time, stirring intensity, precipitated impurities, power supply waveform, etc. will all affect quality of coating and need to be controlled in a timely manner.
First of all, electroplating solution has six elements: main salt, additional salt, complexing agent, buffer, anode activator and additives.
Principle of electroplating includes four aspects: electroplating solution, electroplating reaction, electrode and reaction principle, and metal electrodeposition process.
Electrochemical reaction in electroplating reaction: Figure below is a schematic diagram of electroplating device. Part to be plated is cathode, which is connected to negative electrode of DC power supply. Metal anode is connected to positive electrode of DC power supply. Both anode and cathode are immersed in plating solution. When a certain potential is applied between cathode and anode, following reaction occurs at cathode: metal ions Mn+ that diffuse from inside plating solution to interface between electrode and plating solution obtain n electrons from cathode and are reduced to metal M. On the other hand, completely opposite reaction to that at cathode occurs at anode, that is, dissolution of metal M occurs at anode interface, releasing n electrons to generate metal ions Mn+.

For read more,, please refer to Surface treatment 2: aluminum oxidation.

Analysis of development status of aluminum alloy die-casting process and mold technology

After the 1990s, China’s die-casting industry has achieved amazing development and has developed into an emerging industry. At present, aluminum alloy die-casting process has become one of the most widely used processes in automotive aluminum alloy forming processes, accounting for 49% of various automotive forming process methods.
There are about 3,000 die-casting companies in China. Output of die-casting parts increased from 266,000 tons in 1995 to 870,000 tons in 2005. Annual growth rate remains above 20%, with aluminum alloy die castings accounting for more than 3/4 of all die casting output. Types of die-casting products in China are diversified, including automobiles, motorcycles, communications, home appliances, hardware products, power tools, IT, lighting, escalator steps, toy lights, etc. With improvement of technical level and product development capabilities, types and application fields of die-casting products continue to expand, its die-casting equipment, die-casting molds and die-casting processes have undergone tremendous changes. Since its commercial production in 1914, die-cast aluminum alloy has developed rapidly with development of automobile industry and invention of cold chamber die-casting machine.

Die-cast aluminum alloys are divided into two types according to their properties: medium and low strength (such as China’s Y102) and high strength (such as China’s Y112). At present, die-cast aluminum alloys used in industry mainly include following series: Al-Si, Al-Mg, Al-Si-Cu, Al-Si-Mg, Al-Si-Cu-Mg, Al-Zn, etc. Improvement of mechanical properties of die-cast aluminum alloys is often accompanied by a decrease in the performance of casting process. High-pressure and rapid solidification characteristics of die-casting make this contradiction more prominent in some aspects. Therefore, general die-casting parts are difficult to undergo solution heat treatment, which restricts improvement of mechanical properties of die-cast aluminum alloys. Although oxygenated die-casting, vacuum die-casting, etc. are effective ways to improve mechanical properties of alloys, widespread adoption is still difficult, so development of new die-cast aluminum alloys has been ongoing.
Die-casting process of early horizontal cold chamber die-casting machines had only one speed to send molten metal into mold, and injection speed was only 1m-2m/s. Using this process, there were many pores inside casting and structure was loose. It was soon improved to 2-stage injection, which simply decomposed injection process into two stages: slow speed and fast speed, but fast speed was only 3m/s. Later, in order to increase density of die castings, a stage of pressure increase was added after slow and fast speeds, which became the three stages of slow injection, fast injection and pressurization. This is classic three-stage injection.
Compared with ordinary die casting method, vacuum die casting method has following characteristics:
01 Porosity is greatly reduced
02 Vacuum die-casting castings have high hardness and fine microstructure
03 Vacuum die castings have higher mechanical properties
Recently, vacuum die casting mainly focuses on extracting gas from mold cavity, and there are two main forms:
① Extract air directly from mold; ② Place mold in a vacuum box to evacuate air. When using vacuum die casting, design of exhaust channel position and exhaust channel area of mold is crucial.
There is a “critical area” in exhaust duct, which is related to amount of gas extracted from cavity, exhaust time and filling time. During filling process of molten metal, molten metal should be filled in a dispersed spray state. Size of runner also has a great influence on the effect of oxygenated die-casting. Appropriate runner size can not only allow molten metal to fill mold in a turbulent flow, but also prevent temperature of molten metal from dropping too fast. Highly dispersed distribution of oxides will not have an adverse effect on casting, but can increase hardness of casting and refine structure after heat treatment. Oxygen die casting can be used for Al, Mg and Zn alloys that react with oxygen.
At present, oxygenated die casting can be used to produce various aluminum alloy castings, such as: hydraulic transmission housings, heat exchangers for heaters, hydraulic transmission valve bodies, computer brackets, etc. For die castings that require heat treatment or assembly welding, high air tightness and use at higher temperatures, oxygenated die casting has technical and economic advantages. Semi-solid die casting is a technology that stirs liquid metal when it solidifies, obtains a slurry with a solid phase component of about 50% or higher at a certain cooling rate, and then uses slurry for die casting.
Semi-solid die-casting technology currently has two forming processes: flow forming process and thixoforming process. The former is to feed liquid metal into a specially designed injection molding barrel, where shear is applied by a spiral device to cool it into a semi-solid slurry, which is then die-cast. The latter is to feed solid metal particles or chips into a spiral injection molding machine, turn metal particles into slurry under heating and shearing conditions before die-casting. The key to semi-solid die-casting forming process is effective preparation of semi-solid alloy slurry, precise control of proportion of solid-liquid components, research and development of automated control of semi-solid forming process.

In order to realize automated production of semi-solid forming, American scientists believe that following technologies need to be vigorously developed:
01 Adaptable and flexible bar transportation
02 Precision die casting lubrication and maintenance
03 Controllable casting cooling system
04 Plasma degassing and treatment
Electromagnetic pump low-pressure casting is a newly emerging low-pressure casting process. Compared with gas-based low-pressure casting technology, it is completely different in terms of pressurization methods. It uses non-contact electromagnetic force to directly act on liquid metal, which greatly reduces oxidation and aspiration problems caused by impure compressed air and excessive partial pressure of oxygen in compressed air, realizes smooth transportation and filling of liquid aluminum, and prevents secondary pollution caused by turbulence. In addition, electromagnetic pump system is completely controlled by computer numerical control, process execution is very accurate and repeatable, giving aluminum alloy castings obvious advantages in terms of yield, mechanical properties, surface quality and metal utilization. As research on this technology continues to deepen, process is becoming more and more mature.
Through development in recent years, design level, technical parameters, performance indicators, mechanical structure and manufacturing quality of China’s die-casting machines have been improved to varying degrees. In particular, cold chamber die-casting machine has been changed from original fully hydraulic closing mechanism to a toggle closing mechanism. At the same time, automatic loading, automatic spraying, automatic picking up, automatic edge cutting, etc. are also added. Electrical appliances have also been changed from ordinary power supply control to computer control. Control level has been greatly improved. Some have reached or are close to international level, are marching towards large-scale, automation and unitization.

During this period, new domestic die-casting machine companies have emerged one after another, among which Hong Kong Lijin Company is a typical representative. They has developed a number of domestic leading die-casting machine models, such as horizontal cold chamber die-casting machine with maximum air pressure injection speeds of 6m/s (1997) and 8m/s (early 2000), magnesium alloy hot chamber die-casting machine (early 2000), uniformly accelerated injection system (2002), maximum air injection speed of 10m/s and multi-stage die-casting system (Jane 2004), real-time control injection system (August 2004) and large die-casting machine with a clamping force of 30000kN (July 2004), etc.
Small and medium-sized die-casting machines are still dominated by domestic equipment. Gap between domestic die-casting machines and foreign advanced die-casting equipment is mainly reflected in following aspects:
01 The overall structural design is backward
02 Serious oil leakage
03 Poor reliability is the most prominent flaw of domestic die-casting machines.
04 Incomplete varieties and specifications, poor supporting capabilities
China’s mold industry has developed rapidly. From 1996 to 2004, average annual growth rate of mold output was 14%. In 2003, output value of die-casting molds was 3.8 billion yuan. At present, China’s domestic mold market satisfaction rate is only about 80%, of which medium and low-end molds are main ones. Large and complex precision molds cannot meet needs of national economic development in terms of production technology, mold quality and life, and production capacity. Consumption of automobiles, motorcycle industries and automobile accessories and demand for supporting products provide a broad market for production of die-casting parts. Application of die-casting aluminum alloys in automobiles will also continue to expand.
In the future research and development of die-casting technology, deepening of aluminum alloy die-casting will still be a main direction for development of die-casting technology. In order to adapt to market demand, following issues should be further solved in the future:
Promote application of new high-strength, high-wear-resistant die-casting alloys, research colorable die-casting alloys, and new die-casting alloys for castings with special safety requirements.
02 Develop die-cast aluminum alloys with stable performance and easy-to-control composition
03 Simplify alloy composition and reduce alloy grades to provide a foundation for green production
04 Further improve new die-casting processes (vacuum die-casting, oxygenated die-casting, semi-solid die-casting, squeeze casting, etc.)
05 Improve ability to respond quickly to market and implement concurrent engineering (CE) and rapid prototyping manufacturing (RPM) technology
06 Carry out research and development of CAD/CAM/CAE systems
07 Develop and apply more die-cast aluminum alloy automotive parts
Die-casting aluminum alloy is main body of non-ferrous alloy die-casting, and AI-Si series alloys are main body of die-casting aluminum alloy. Development of die-casting industry has a long way to go. It involves research and development of high-performance alloys and development of process pathways. Practice has shown that it is a wise choice to be enterprise-centered and combine relevant universities and research units. Relevant results we have achieved have been confirmed.
To achieve revitalization of the overall die-casting industry, it is also very important to improve performance of die-casting machines, correspondingly improve design and manufacturing level of die-casting molds. In particular, many foreign technical software are introduced and applied. What method is used to verify them? It is worth further research.

Application of air-cooled stirring rod rheological die-casting process in high thermal conductivity

As a high-productivity, low-cost near-net-shape process, die-casting is widely used in communications, automobiles, 3C and other fields. Some researchers believe that main problem currently restricting further expansion of application of die-casting technology is porosity of castings and resulting strength issues. In traditional die-casting process, liquid melt fills mold cavity in a turbulent state, so that gas in the cavity cannot be discharged in time and is involved in alloy, forming pore defects, reducing effective bearing area of casting and causing stress concentration, thus reducing mechanical properties of casting. Some people also believe that internal pores are a serious hidden danger of sudden failure during product service.
Compared with high-temperature liquid melt used in traditional die-casting, semi-solid slurry with a higher solid phase ratio used in semi-solid die-casting has higher apparent viscosity and laminar flow characteristics, flows smoothly during high-speed filling process, and is not easy to entrain air. Solidification shrinkage of slurry is smaller than that of traditional liquid metal. It can reduce or eliminate defects such as pores and shrinkage, and improve mechanical properties of castings. In addition, since temperature of slurry entering pressure chamber is lower than that of traditional liquid metal, thermal shock to die-casting mold cavity is greatly reduced and service life of mold is extended. Therefore, semi-solid die casting takes into account advantages of semi-solid forming and traditional die casting, and has broad application prospects in industrial applications. Semi-solid die-casting is mainly divided into thixotropic die-casting and rheological die-casting. Due to low secondary heating efficiency of thixotropic die-casting, rheological die-casting has become a research hotspot in the field of semi-solid processing, and its industrial application has received special attention.
Preparation of high-quality semi-solid slurry is premise and key to development of rheological die-casting technology. In recent years, a variety of semi-solid slurry preparation technologies have been proposed at home and abroad. Different researchers have developed double-helix shear technology, which uses a pair of high-speed rotating screws to stir melt at high shear rates to prepare semi-solid slurry; developed RSF pulping technology, using entropy exchange materials as cooling media to absorb heat from metal melt to prepare semi-solid slurry; SEED slurry process was proposed. Under low superheat pouring conditions, preparation crucible was eccentrically rotated to produce effective shearing in melt, inhibiting growth of primary phase dendrites, thereby preparing a semi-solid slurry; developed GISS technology, which introduces inert gas when melt solidifies, and uses bubble disturbance to prepare semi-solid slurry; vibrating tilted plate process was developed to prepare semi-solid slurry, which is believed to be combined effect of nucleation thermodynamic conditions and vibration shear collision; LSPSF slurrying process was developed. Alloy melt is poured into the entrance of rotating conveyor pipe. Under combined effects of gravity and shearing/cooling of inner wall of rotating conveyor pipe, alloy is transformed from molten state into a semi-solid slurry with a certain solid phase ratio; SCP technology was developed, in which superheated melt is poured into a vertical serpentine channel to cool down, and disturbance caused by its own gravity is used to prepare a semi-solid slurry. These processes enrich semi-solid slurry preparation technology, promote development and application of rheological die-casting processes. In order to prepare high-quality semi-solid slurry more stably, continuously and efficiently, cater to industrial promotion of rheological die-casting and break through patent protection of foreign pulping processes, it is necessary to develop some new simple, efficient, practical and low-cost pulping technologies.
In view of this, an air-cooled stirring rod slurry process (Air-Cooled Stirring Rod, ACSR) is proposed to achieve continuous and rapid preparation of large-volume semi-solid slurry, and is closely connected with die-casting machine to form a rheological die-casting process that integrates slurry preparation, transportation and forming. This study mainly introduces industrialization status of ACSR rheological die-casting process. At the same time, Al-8Si alloy and Al-6Si alloy (Sr modification) are used as raw materials, combined with production of shell parts for 4G/5G communication base stations and new energy vehicles, compared with traditional die-casting, impact of ACSR rheological die-casting process on alloy structure and properties is studied. .

Graphic and text results

Test materials are Al-6Si, Al-8Si high thermal conductivity alloy, Al-7Si-4Cu-0.2Cd high-strength and tough aluminum alloy. Chemical composition is shown in Table 1. Using SETARAM TGA-92 high temperature comprehensive thermal analyzer to perform differential thermal analysis on heating process of alloy, it can be obtained that liquidus temperature and solidus temperature of Al-8Si alloy are 623℃ and 565℃ respectively, liquidus and solidus temperature of Al-6Si alloy are 635℃ and 570℃ respectively, liquidus and solidus temperatures of Al-7Si-4Cu-0.2Cd alloy are 607℃ and 518℃ respectively. Figure 1 shows equipment schematic and physical diagram of aluminum alloy uniform solidification control technology. It mainly consists of a high-pressure gas supply device, an air guide pipe, a stirring rod, an aluminum alloy melt, a crucible and a thermocouple. Size of stirring rod is determined based on volume of aluminum alloy melt and size of scooping spoon. At present, aluminum alloy ACSR slurrying device has been connected with various tonnage die-casting machines. Specific supporting die-casting machine clamping forces are 4000, 8500, 12500, 16000, 20000, 30000 and 40000kN. In addition, ACSR pulping device can be combined with a vacuum mechanism to prepare high-quality semi-solid slurry in a vacuum environment.

AlloywB
SiFeCuMgZnSrCdAl
Al-8Si7.730.53 0.030.02  margin
Al-6Si7.160.57   0.02 margin
Al-7Si-4Cu-0.2Cd7.240.184.18  0.020.24margin

Table 1 Chemical composition of alloy (%)

Figure 1 Schematic diagram and physical picture of equipment for preparing semi-solid slurry using aluminum alloy uniform solidification control technology

Figure 2 Aluminum alloy ACSR rheological die casting process
With increase in integration of signal electrical devices in 5G wireless base stations, communication equipment is developing in direction of ultra-thin and ultra-light, high heat dissipation, high mechanical properties and high corrosion resistance. Combining ACSR pulping technology with die-casting technology, a brand-new, fully automatic, efficient and high-performance large-scale thin-walled die-casting production line integrating uniform solidification control processing, transportation, die-casting and picking-up of aluminum alloys has been established to meet application requirements of communication equipment structural parts. At present, this technology has been applied to important high-quality die-cast structural parts such as 4G/5G wireless base station cooling casings, filters, shielding boxes and mounting brackets. Figure 3 shows several typical large thin-walled die castings of Al-8Si and Al-6Si aluminum alloys for high-performance communications produced using this technology.

(a) 5G communication heat sink 1 Al-8Si

(b) 5G communication heat sink 2 Al-6Si

(c) 5G communication heat sink 3 Al-6Si
Figure 3 Several typical Al-8Si and Al-6Si aluminum alloy high-quality large thin-walled rheological die castings for 5G communications

(a) New energy vehicle end cover

(b) Car steering gear connecting pipe

Figure 4 Several typical high-quality automotive ACSR rheological die castings

CraftsmanshipSurface flatness/mmSurface roughness/μmPorosity/%
Traditional die casting0.5~0.66.32.1
ACSR rheological die casting0.20~0.253.20.9

Table 2 Comparison of surface quality and porosity of aluminum alloy 5G communication casings produced by traditional die casting and rheological die casting

(a) Al-8Si alloy, traditional die casting    (b) Al-8Si alloy, ACSR rheological die casting

(c) Al-6Si alloy, traditional die casting      (d)Al-6Si alloy, ACSR rheological die casting

(e) Al-7Si-4Cu-0.2Cd alloy, traditional die casting   (f)Al-7Si-4Cu-0.2Cd alloy, ACSR rheological die casting
Figure 5 Microstructure of conventional die-casting and ACSR rheological die-casting Al-8Si, Al-6Si and Al-7Si-4Cu-0.2Cd alloy samples
It can be seen that there are more dendritic α-Al in structure of traditional die castings, more shrinkage cavities and shrinkage porosity defects can be observed. However, a large number of small, nearly spherical primary α-Al grains can be observed in structure of ACSR rheological die castings, and internal defects are significantly reduced. In addition, secondary α-Al grains and eutectic Si in ACSR rheological die castings have also been refined to a certain extent. According to relevant research, it can be seen that Fe-rich phase in ACSR rheological die-casting aluminum alloy is evenly distributed in eutectic structure, and average size is smaller than that of traditional die-casting alloy.

AlloyTechnologyTensile strength/MPaYield strength/MPaElongation/%Thermal conductivity/(W·m-1·K-1)
Al-8SiHPDC2203.61081.64.01.41381.7
Rheo-HPDC2663.11291.36.41.21521.6
Al-6SiHPDC1892.91021.56.11.51731.6
Rheo-HPDC2263.01171.210.71.61861.4
Al-7Si-4Cu-0.2Cd (vacuum ACSR+T6 heat treatment)HPDC3654.72082.75.01.4 
Rheo-HPDC4473.93131.96.71.5 

Table 3 Mechanical and thermal properties of ACSR rheological die-casting and traditional die-casting Al-8Si, Al-6Si and Al-7Si-4Cu-0.2Cd alloys

In conclusion

(1) Developed a stable and efficient integrated process of semi-solid slurry preparation and die-casting, namely ACSR rheological die-casting process, and established a number of new aluminum alloy uniform solidification controlled slurry, transportation, die-casting and part-picking integrated, fully automatic, efficient and high-performance rheological die-casting production lines, realizing industrialization of rheological die-casting of high-quality large-scale thin-walled aluminum alloy structural parts.
(2) Compared with traditional die-casting, aluminum alloy castings produced by ACSR rheological die-casting process have better surface quality and lower porosity. Flatness is only 0.20~0.25mm, surface roughness is reduced to 3.2μm, and porosity is reduced to 0.9%.
(3) Compared with traditional die-casting alloys, ACSR rheological die-casting aluminum alloys have better mechanical properties and thermal conductivity. Its tensile strength and elongation are increased by 20%~22% and 34%~75% respectively, thermal conductivity is increased by 7.5%~10.1%.

Optimization of automotive oil pump body die-casting process

Summary

In order to meet requirements of high air tightness and high strength of automotive aluminum alloy oil pump body die-casting parts, to solve problems of shrinkage and cavity defects in castings, die-casting process was designed and optimized. First, casting process was analyzed, pouring overflow system was designed based on experience and process parameters were initially selected. Then Taguchi orthogonal test method was used to design a 5-factor, 4-level die-casting process parameter scheme, and Procast was used for numerical simulation. 16 sets of orthogonal test results were subjected to range and variance analysis based on signal-to-noise ratio. Results showed that mold temperature has the most significant impact on shrinkage and shrinkage cavities. Optimal process parameters of five factors are: pouring temperature 650 ℃, mold temperature 240 ℃, slow/fast injection distance 200 mm/60 mm, fast injection speed 3.0 m/s, slow injection speed 0.2 m/s. Numerical simulation results show that shrinkage and shrinkage volume of casting under this process parameter combination is 1.067 cm³, which is 26.5% lower than before optimization. Mold test results show that appearance of casting is intact, and X-ray flaw detection in key parts shows no obvious shrinkage cavities; metallographic microscope (OM) and scanning electron microscope (SEM) are used to observe structure of casting, and it is found that structure of each area of casting is dense; mechanical property test shows that, microhardness of die casting is greater than HV85, average tensile strength of test rod under same process is 253.36 MPa, and casting meets usage requirements.
Automobile oil pump body is a pressure-bearing sealing part. It works in high temperature, high pressure and engine oil environments, has high requirements for high temperature corrosion resistance and air tightness. Due to sensitivity of new energy vehicles to cruising range, their demand for lightweighting is more significant than that of traditional fuel vehicles. Aluminum alloys have become preferred material for automotive parts such as oil pump bodies for oil trucks and hybrid vehicles due to its high specific strength and corrosion resistance. High-pressure casting has advantages of high production efficiency, high dimensional accuracy of castings, good surface and mechanical properties. Therefore, it is widely used in production of complex parts such as aluminum alloy cylinder blocks, pump bodies, and shells. However, due to improper processes and other reasons, die-cast seals often have pores, shrinkage cavities, and shrinkage defects. Existence of pore defects will reduce strength and air tightness of sealing castings, making them unusable.
Reasonable die-casting process parameters are a necessary condition for obtaining qualified castings, but there are many factors that affect quality of castings, and value ranges of each factor are wide. Obtaining reasonable process parameters often requires a large number of tests. Use of numerical simulation combined with orthogonal experiments can effectively determine reasonable process parameters. Li Yang et al. used a combination of orthogonal experiments and numerical simulations to explore effects of mold temperature, fast and slow pressure switching points and fast injection speed on pores of aluminum alloy motorcycle cylinders. Results showed that pore area of casting is negatively correlated with fast injection speed, positively correlated with speed switching point and mold temperature. ApparaoK C et al. explored effects of pouring temperature, injection pressure, pouring time and mold temperature on pores of aluminum alloy castings. They concluded that pouring temperature and mold temperature have a significant impact on pores of castings, and an orthogonal experiment based on signal-to-noise ratio was used to optimize process parameters with the smallest pores. GuptaAK et al. used genetic algorithm and fuzzy logic method to obtain optimal combination of five die-casting process parameters including solidification time, pouring temperature, injection pressure and die-casting machine plunger speed, which reduced probability of die-casting defects such as shrinkage holes and cracks in aluminum alloy carburetor shell castings by 58.28%.
In summary, it is common and efficient to use numerical simulation combined with optimization methods such as orthogonal experiments or genetic algorithms to optimize die-casting process, and effect of reducing porosity of die-casting parts is also very significant. However, above studies have not completely selected influencing factors of casting porosity defects, research on influencing factors of individual shrinkage porosity and shrinkage cavity defects also needs to be in-depth. Therefore, in order to explore influence of various factors in die-casting process on shrinkage and cavity defects in oil pump body, this article selects main die-casting process parameters of pouring temperature, mold temperature, slow/fast injection distance, fast injection speed and slow injection speed. Using a combination of orthogonal experiments and numerical simulations based on signal-to-noise ratio, shrinkage and porosity rates of castings are optimized as indicators in order to find the best combination of process parameters for castings under a specific pouring and overflow system design.

1. Die-casting process analysis and pouring overflow system design

1.1 Analysis of die-casting process of oil pump body parts

Oil pump body is a pressure-resistant seal that has high requirements for strength and air tightness. Therefore,defects such as cracks, looseness, and bubbles are not allowed in sealing area of casting. Defects such as strain, undercasting, mold sticking, and cold shutoff are not allowed on the surface. Surface roughness is not greater than Ra=6.3 μm, and dimensional tolerance should meet requirements of GB/T 6414-2017.
Outline dimensions of oil pump body are 203.9 mm * 108.5 mm * 154.8 mm. Weight of casting blank is 0.65 kg, volume is about 240 cm³, maximum projected area is 109.6 c㎡, and maximum cross-section is surface I, which is assembly surface of pump body and pump cover. Considering that castings II and III require lateral core pulling, casting can choose I side as main parting surface and use bottom injection pouring. Oil pump body model and wall thickness are shown in Figure 1.

Figure 1 Three-dimensional model of oil pump body and analysis of its wall thickness
Oil pump body casting has an irregular structure and uneven wall thickness. Maximum wall thickness in sealing area reaches 13.6 mm, the thinnest wall thickness is only 1.5 mm, and average wall thickness is about 4.5 mm. According to casting structure and die-casting empirical formula, process parameters of casting can be preliminarily determined as follows: pouring temperature 660 ℃, mold temperature 210 ℃, slow/fast injection distance 195 mm/65 mm, fast injection speed 2.75 m/s, slow injection speed is 0.25 m/s.
Since ADC12 alloy has advantages of good casting performance, high strength, low density and low shrinkage, this alloy is selected as material for oil pump body casting. Its alloy composition is shown in Table 1.

SiCuMnMgFeZnPb, Ti, Sn, CdNiAl
10.351.950.250.240.720.61Each contains 0.10.04margin

Table 1 Chemical composition of ADC12 alloy wB/%

1.2 Design of pouring and overflow system

Oil pump body is a cylinder-type casting with a complex structure, uneven wall thickness, and is concave in multiple directions. It requires side core pulling, so die-casting mold can only use one mold and one cavity. Based on projected area of casting, structure of casting and its ideal injection pressure range, a 500 t horizontal cold press chamber die-casting machine was selected. The total length of press chamber is 515 mm and punch diameter is 75 mm. In order to ensure smooth flow of molten metal during mold filling process, prevent air entrainment, and facilitate removal of pouring system, a “comb-shaped” side pouring method with 6 trapezoidal lateral runner was designed. The total area of inner runner is 221 mm2, gate is set at upper edge of oil pump body and protruding parts on both sides, as shown in Figure 2.

Figure 2 Design of pouring and draining system for oil pump body casting
Pouring and overflow system of oil pump body casting consists of a cake, a sprue, 6 lateral sprues, 6 injectors, 8 overflow slots and 2 exhaust slots. Main parameters of each part are shown in Table 2 Show.

Total volume V/cm3Casting volume V/cm3Gating system volume Vg/cm3Overflow system volume Ve/cm3Gate cross-sectional area Ag/mm2Casting surface area Af/cm2Casting solidification modulus M/cm
61324028390221942.55

Table 2 Main parameters of pouring and drainage system

2. Orthogonal design of die-casting parameters and optimization of process parameters

2.1 Initial and boundary conditions of numerical simulation of die casting

On the premise of ensuring reliable numerical simulation results and reducing calculation time as much as possible, this study uses Procast software to divide non-uniform grids. Set grid unit size in thinner wall thickness of molten metal filling areas such as castings, gating systems and overflow systems to 1.5 mm, and set grid unit size in other areas to 3 mm, set grid unit size of metal parts such as molds, barrels and punches to 10 mm. The total number of grids is approximately 4.54 million. Casting material is ADC12 aluminum alloy, mold material is H13 hot work die steel, and initial conditions of materials are same as those in literature.

2.2 Die-casting numerical simulation plan and results

Oil pump body castings have high requirements for internal quality and air tightness, defects such as cracks, looseness, and bubbles are not allowed inside castings. There are many factors that affect die-casting quality. Relevant production practices and literature research show that process parameters that have an important impact on forming quality of cylinder die-casting parts are pouring temperature (A), mold operating temperature (B), and slow/fast injection distance (C), fast injection speed (D) and slow injection speed (E). Therefore, these five parameters are selected as influencing factors of shrinkage and cavity defects in orthogonal test of this article. Other parameters are set to a certain value according to actual production situation, and their influence is not considered for the time being. 5-factor 4-level orthogonal test parameters are formulated as shown in Table 3.

LevelFactor
Pouring temperature/℃Mold temperature/℃Slow/fast injection distance/mmfast injection speed/(m*s-1)slow injection speed/(m*s-1)
1630180180/802.00.1
2650200190/702.50.2
3670220200/603.00.3
4690240210/503.50.4

Table 3 Factors and levels of orthogonal test
This article conducts tests in accordance with L16 (45) standard orthogonal test plan, uses Procast’s Visual-Cast module to conduct numerical simulations of die-casting filling and solidification process, prediction of shrinkage and porosity defects. Using shrinkage porosity and shrinkage porosity as evaluation indicators, use cutoff-info function in Procast Visual-Viewer module to count the total shrinkage porosity index of casting, which is volume of part above 3% (hereinafter referred to as shrinkage porosity volume, V-shrinkage). The larger volume, the greater probability that shrinkage holes will appear in corresponding parts of casting. Results of numerical simulation cross test of 5-factor and 4-level die-casting parameters are shown in Table 4.

2.3 Die-casting parameter simulation orthogonal test optimization results and analysis

2.3.1 Analysis of orthogonal test results based on signal-to-noise ratio

Signal-to-noise ratio is used as basis for judging stability of test. Large-scale characteristics, small-scale characteristics and large-scale characteristics will be selected according to different applications. Purpose of orthogonal test in this study is to reduce shrinkage cavity volume of casting, so small characteristics were chosen. If small characteristic does not take a negative value, the smaller value, the better. Signal-to-noise ratio criterion is shown in Equation (1).

In formula: S/N is signal-to-noise ratio; yi is i-th test result, and n is number of tests.
Lower part of Table 4 is range table of signal-to-noise ratio corresponding to shrinkage pore volume of oil pump body casting. Ki is average value of signal-to-noise ratio of all shrinkage pore volumes under i-th level of different factors. Figure 3 is a line chart of level of each factor in casting and average signal-to-noise ratio of shrinkage pore volume. It can more intuitively reflect influence of each factor on shrinkage pore volume of casting than range chart line chart.

Figure 3 Influence of levels of various die casting factors on shrinkage and shrinkage cavities
The greater signal-to-noise ratio, the smaller volume of predicted shrinkage porosity index. As can be seen from Figure 3, the best process parameter values after optimization of orthogonal test are: pouring temperature 650 ℃, mold temperature 240 ℃, slow/fast injection distance 200/60 mm, fast pressing speed 3.0 m/s, slow pressing speed 0.2 m/s.
Table 5 shows variance analysis of each process factor. F critical value is 2.490. When F>F critical value, it means that this factor has a significant impact on shrinkage and cavity defects of castings. Based on analysis of Table 4 and Table 5, it can be concluded that influence of various factors on shrinkage and shrinkage holes of castings is: mold temperature > pouring temperature > slow injection speed > slow/fast injection distance > fast injection speed. That is to say, influence of mold temperature is significant, influence of pouring temperature is relatively significant, influence of slow/fast injection distance and slow injection speed is not significant, and influence of fast injection speed is minimal.

Test numberTest planNumerical simulation results
ABCDEShrinkage volume/cm2Signal to noise ratio/dB
1630180180/806301801.497-3.50
2630200190/706302001.301-2.29
3630220200/606302201.153-1.24
4630240210/506302401.178-1.42
5650180190/706501801.452-3.24
6650200180/806502001.315-2.38
7650220210/506502201.319-1.13
8650240200/606502401.141-1.15
9670180200/606701801.526-3.67
10670200210/506702001.473-3.36
11670220180/806702201.384-2.82
12670240190/706702401.282-2.16
13690180210/506901801.683-4.52
14690200200/606902001.601-4.09
15690220190/706902201.483-3.42
16690240180/806902401.322-2.42
Signal-to-noise ratioMean K1-2.112-3.732-2.780-2.720-2.857Range analysis 
Mean K2-1.795-3.030-2.777-2.695-2.377Influence levelB>A>E>C>D
Mean K3-3.002-2.152-2.537-2.695-2.575  
Mean K4-3.612-1.788-2.607-2.537-2.893  
Extremely bad R1.6371.9440.2430.1580.516  
OptimizationA2B4C3D3E2  

Table 4 L16(45) orthogonal simulation test results

FactorSum of squared deviationsDegrees of freedomF valueF critical valueSignificance
A7.17032.0662.490Relatively significant
B9.22032.6572.490Significantly
C0.18030.0522.490Not obvious
D0.06730.0192.490Minimal impact
E0.71630.2062.490Not obvious
Error17.3515   

Table 5 Variance analysis results

2.3.2 Die casting filling and solidification analysis

Above-mentioned optimal die-casting process parameters and parameters before optimization were selected and simulated in Procast respectively. The total filling time before and after optimization was 0.802 s and 1.002 s respectively. Filling process is shown in Figure 4. It can be seen from Figure 4 that during filling process before optimization, when the first stream of molten metal passes through inner runner (slow pressure distance 195 mm), it begins to enter rapid injection stage. Flow speed of molten metal suddenly increases, it is sprayed from inner runner at a very high speed, hits core and cavity wall, violently scouring mold, which not only causes splashing, but also shortens life of mold. When filling is 69.7%, molten metal passing through two sprues on the right side of casting merges at maximum wall thickness of casting at a very high speed. The two molten metals collide with each other, forming a turbulent flow and involving a large amount of gas, which oxidizes molten metal and reduces feeding ability, increasing tendency of shrinkage and shrinkage cavities. In addition, wall thickness here of casting is the largest, heat dissipation during cooling process is slow and it is easy to form an isolated liquid phase area, which makes exhaust difficult, further increasing possibility of forming pores.
Slow injection speed of optimized post-filling process is small. During slow pressing, injection punch moves at a smaller speed. Molten metal flows calmly in pressure chamber and slowly fills mold cavity in a laminar flow manner, without involving a large amount of air. At the same time, a smaller slow pressing speed and a longer slow pressing distance correspond to a longer slow pressing time. Gas in cavity during filling process has more time to be eliminated, which reduces probability of pores in casting. Optimized slow injection stroke is 200 mm. When molten metal fills about 15% of cavity volume (including castings, overflow and exhaust systems) through inner runner at a slow injection speed, it enters rapid injection stage. Front part of molten metal that enters mold cavity is filled slowly, and quickly filled part of metal at the back has front part of molten metal as a buffer to reduce direct impact on mold, thereby extending life of mold. When filling 69.8%, speed of the two molten metals that merge at maximum wall thickness of casting is small and will not violently disturb each other to form severe turbulence, reducing tendency of casting to form pores.

Figure 4 Comparison of casting filling process before and after process optimization

2.3.3 Die-casting solidification process and defect analysis

Time when the overall solidification fraction of two sets of process plans before and after optimization is 96% is 31.4s and 34.6s respectively. Time difference is not big. Solidification process of castings before and after optimization is also similar, as shown in Figure 5. Solidification starts at thin wall of casting, exhaust groove and the two outer sprues, then solidifies at thick wall of casting, overflow tank and three middle sprues, finally solidification of final filling area of casting and material cake. From perspective of the overall solidification sequence, maximum wall thickness of casting is after runner and overflow tank solidify, forming an isolated liquid phase area. This area does not receive external feeding during solidification process, shrinkage pit defects are easily formed. In actual production process, it is necessary to increase cooling rate and prioritize solidification to reduce degree of shrinkage defects or avoid their occurrence.

Figure 5 Casting solidification process
Critical feeding solid phase ratio of ACD12 aluminum alloy is 0.7. It is generally believed that after solidification fraction of casting is greater than 70%, molten metal no longer has macroscopic feeding ability. When solidification fraction of casting is 70%, a comparative analysis of final solidified area of casting before and after optimization process is performed, as shown in Figure 6.

Figure 6 Comparison of isolated liquid phase area at maximum wall thickness of casting before and after process optimization
Solid phase rate in this area of casting before and after optimization is lower than 100%, and temperature is higher than surrounding temperature of casting, which further proves that an isolated liquid phase region appears here in casting. However, cross-sectional area of isolated liquid phase area after optimization is significantly smaller than before optimization, indicating that optimization of process parameters can significantly improve shrinkage defects of castings.
As can be seen from Figure 7, the overall shrinkage and cavity defects of casting are significantly reduced after optimization. Before optimization, single largest shrinkage cavity index volume appears at maximum wall thickness A of casting with a volume of 0.988 cm³, and probability is 48.14%, which is likely to form shrinkage defects. After optimization, index volume at A is 0.762 cm³, probability is 24.65%, and probability of shrinkage defects is reduced. After optimization, volume and probability of shrinkage defects in the overall casting and at maximum wall thickness are reduced compared with before optimization. The overall shrinkage porosity index volume of casting before and after optimization is 1.452 cm³ and 1.067 cm³ respectively. After optimization, shrinkage porosity index volume is reduced by 26.5% compared with before optimization.

Figure 7 Comparison of shrinkage and cavity defects in oil pump body castings before and after process optimization
Reason for reduction of shrinkage porosity defects in oil pump body castings is firstly because pouring temperature of optimized molten metal is 10℃ lower, and cooling volume of the molten metal shrinks less, resulting in a smaller volume of shrinkage cavities; secondly, after optimization, the mold temperature is 30℃ higher, temperature difference between mold and molten metal is small, flow and feeding ability of molten metal is stronger, and tendency to form shrinkage holes is smaller; thirdly, after optimization, slow injection distance is long and speed is slow, so that molten metal flows slowly, does not involve too much gas to oxidize and reduce feeding ability; fourth, after optimization, injection speed is fast, injection specific pressure is large, volume of casting shrinks during solidification process. When runner still has ability to feed, higher pressure will push more molten metal in gating system to feed, reducing shrinkage and cavity defects in castings.

3. Casting quality analysis

Using die-casting mold in Figure 8a and optimized process parameters for trial production, formed oil pump body casting is shown in Figure 8b. It can be seen from Figure 8b that front and back surfaces of casting are smooth and clean, without defects such as cracks, strains, bulges, and undercasting. Surface quality meets process requirements.

Figure 8 Die casting production
In order to check internal quality of casting, X-ray flaw detection was performed on it, and results are shown in Figure 9. Comparing flaw detection results in Figure 9 with numerical simulation prediction results in Figure 7, it can be seen that location of shrinkage holes in oil pump body casting is basically consistent with prediction results, which shows that prediction results of simulation test are relatively accurate. Locations of tiny shrinkage cavities in casting are A and B in Figure 9. These two locations are outer areas of casting and have little impact on sealing performance of oil pump body. In production, taking appropriate spot cooling measures to increase cooling rate here can reduce probability of holes.

Figure 9 X-ray flaw detection results
In order to further analyze internal structure and quality of oil pump body casting, thin-walled part and maximum wall thickness A of casting in Figure 9 were cut and sampled for observation with a metallographic microscope (OM). It can be seen from Figure 10a that solidification process at position C of thin wall of casting has fast heat dissipation, large undercooling, high nucleation rate, and short solidification time. Relatively small spherical primary α-Al phase and fine strip-like Al-Si eutectic phase are obtained. Grain size is relatively fine and distribution is relatively uniform. Thin wall C of oil pump body solidifies preferentially under high pressure, so structure is dense and has no shrinkage defects. Scanning electron microscopy (SEM) and OM observation were performed on thick wall A of casting, as shown in Figure 10b. Grains at thick wall A of oil pump body are relatively coarse and uneven in size. Metallographic structure is mainly a coarse massive primary α-Al phase and a needle-like Al-Si eutectic phase. Fine Si particles are embedded in primary α-Al phase for strengthening, and fine shrinkage defects are distributed at the junction of two phases. Grain size is larger at thick wall of casting, and there are shrinkage defects, as shown in Figure 10b. Coarse needle-shaped Al-Si eutectic has a stronger splitting effect on matrix than strip-shaped one, so structural mechanical properties of thick-walled part of casting must be worse than those of thin-walled part.
A sample was taken from thick wall A for tensile testing, and its cross section was observed by SEM. As shown in Figure 10c, tensile section is uneven, with a large number of cleavage planes and tearing edges. Cleavage surface is large and there are a few dimples. It is a fracture mode that mixes brittle fracture and ductile fracture. It is a quasi-cleavage fracture, which is consistent with low toughness of ADC12 material.
In order to verify whether mechanical properties of casting meet usage requirements, 5 points are taken for hardness testing at thick wall A of casting. As shown in Figure 10d, minimum microhardness in sampling point is HV85.4, average microhardness at thick wall A is HV93.4, and hardness of ADC12 aluminum alloy oil pump body is required to be no less than HV85. At the same time, 5 B-type tensile specimens were die-cast with same molten aluminum furnace and same process parameters for tensile testing. Average tensile strength of sample is 236.6 MPa, which meets domestic requirement of tensile strength ≥ 230 MPa for corresponding brand YZAlSi11Cu3 alloy. Therefore, oil pump body casting meets mechanical property requirements of product.

Figure 10 OM, SEM structure, tensile fracture morphology, tensile strength and microhardness of oil pump body casting

4 Conclusion

(1) Taguchi orthogonal simulation test results show that influence of various die-casting process factors on shrinkage and shrinkage holes in oil pump body castings is: mold temperature > pouring temperature > slow injection speed > slow/fast injection distance > fast injection Speed, among which mold temperature has a significant impact, pouring temperature has a significant impact, slow/fast injection distance and slow injection speed have no significant impact, and fast injection speed has the least impact.
(2) Optimized process parameters are: pouring temperature 650 ℃, mold temperature 200 ℃, slow/fast injection distance 200/60 mm, fast injection speed 3.0 m/s, slow injection speed 0.2 m/s . Numerical simulation results show that using this set of process parameters, molten metal filling during die-casting process is stable, and shrinkage porosity volume index is the smallest, which is 26.5% lower than before optimization. Predicted location of shrinkage cavities is basically consistent with the X-ray flaw detection results.
(3) Castings tested using optimized process parameters have a good appearance, sealing area has a dense structure, there are no obvious shrinkage holes and cracks. Maximum wall thickness of casting is a quasi-cleavage fracture, which is consistent with low toughness of ADC12 material. Average tensile strength of tensile specimens under same aluminum melt furnace and same process parameters is 236.6 MPa, average microhardness of thick wall of casting is HV93.4, and oil pump body casting meets usage requirements.

Improve performance of die-casting molds and extend service life of die-casting molds

Pressure casting (die casting for short) has characteristics of high production efficiency, short production process, high casting finish and strength, small machining allowance, and saving of metal materials. China’s die-casting industry has developed rapidly in recent years, with total output increasing significantly, and it has become a veritable die-casting power. Molds, die-casting machines and die-casting materials are the three major elements of die-casting production. Only high-quality molds can produce high-quality castings stably and efficiently. Working environment of die-casting molds is very harsh: During die-casting production process, mold cavity is in direct contact with high-temperature, high-pressure, and high-speed molten metal, and is directly washed by molten metal. It is prone to wear, high-temperature oxidation, and various corrosions: high-efficiency production causes mold temperature to rise and fall dramatically periodically, and working surface is prone to thermal fatigue cracks: when metal is forced to deform, it rubs against surface of cavity, easily wearing out mold and reducing its hardness. Mold cost is high, production cycle is long, and repair is difficult. Service life is also particularly important. Therefore, research on factors that affect mold performance and service life is beneficial to improving casting quality and reducing economic losses caused by early scrapping of molds. Generally speaking, factors that affect performance and service life of die-casting molds include mold materials, mold design and manufacturing, surface treatment technology and specific usage of mold.

Die-casting molds are very expensive special precision machinery, which require mold maintenance workers not only to have superb skills and meticulous work style, but also to be serious and responsible. Mold maintenance workers should be familiar with technical standards of die-casting molds as follows:
1. It is all about cleaning metal cracks and scales everywhere in mold to reveal true color of mold.
2. Refer to the last die-cast product sent for repair together with mold to carefully check problems with mold. Is there any strain, sticking to mold, pressure or loss of flesh? Is there any small core that is bent or broken? Is there any movable core that is inserted incorrectly in position? Is there a broken push rod or a change in length of push rod? Is there any insert that is not positioned correctly? Is there fastening bolts are loose, etc. Depending on damage, repair or replacement is determined.
3. For cavity collapse, cracks, falling pieces, etc. that cause slight strain on casting, partial welding repairs can be performed. Welding repairs should be performed strictly according to welding repair process, otherwise a lot of mold life will be lost. Above failures of smaller molded parts are more serious or mold is damaged.
4. If molding surface of larger molded parts is seriously collapsed, cracked, or dropped, it can be repaired locally by welding. Welding repair should be performed strictly according to welding repair process, otherwise a lot of mold life will be lost. Above failures of smaller molded parts are more serious or mold is damaged.
5. Sliding parts such as core pulling mechanisms, guide devices, etc. should be thoroughly cleaned, carefully inspected, and repaired. Re-lubricate with high-temperature grease before assembly.
6. If there is hydraulic core pulling, hydraulic part and mold should be repaired at the same time. When repairing hydraulic part, pay special attention to cleanliness to prevent contamination, otherwise the entire hydraulic system of die-casting machine will be polluted.
7. When mold fails or is damaged during production process, repair plan should be determined according to specific situation. Perform comprehensive repairs as above if necessary.
8. After maintenance of mold has been completed, rust-proof molding surface, parting surface, and installation surface, close and set mold, and place it on backing plate according to installation direction of mold on machine. Mold accessories are placed with mold.

01 Mold material

Performance and service life of die-casting mold are closely related to material of mold. Good die-casting mold manufacturing materials generally have following characteristics: good machinability and forgeability; high wear resistance and corrosion resistance: high strength at high temperatures, high red hardness, high temperature oxidation resistance, impact toughness and tempering stability at high temperatures: good thermal conductivity and fatigue resistance; small thermal expansion coefficient: small heat treatment deformation rate and good hardenability.
In the past, 3Cr2W8V hot work die steel was commonly used in China, and life of die-casting mold was about 50,000 mold times. H13 hot work die steel was introduced in the 1990s, and die-casting molds produced have a service life of 150,000 to 200,000 molds. It is currently a widely used die-casting mold material. 3Cr2W8V hot work die steel has high strength and hardness, good cold and heat fatigue resistance, and good hardenability, but has poor toughness and plasticity, short service life, high alloying degree, and high cost. H13 has good comprehensive properties at medium temperature (~600℃), high hardenability (can be hardened in air), low heat treatment deformation rate, and its performance and service life are higher than 3Cr2W8V.
Material selection of die-casting mold should not only be based on temperature of casting metal and type of casting metal, but also impact and wear of various parts of die-casting mold by casting metal. The higher temperature, the higher thermal fatigue performance and high temperature performance material should have. Parts that are more severely worn should have higher hardness. Working conditions of die-casting molds are becoming increasingly demanding, and requirements for metallurgical quality, performance, and lifespan of mold materials are constantly increasing. In particular, requirements for material purity and isotropy are higher. Some high-alloy, high-quality, and optimized mold materials are constantly emerging. In turn, it also promotes development of die-casting industry.

02 Mold design and manufacturing

Reasonable mold design is an important prerequisite for extending service life of die-casting molds. Reasonable wall thickness and cooling water channel design can ensure strength and thermal balance of mold. When designing mold, special attention should be paid to the areas where stress concentration and greater abrasion occur during work. Accuracy of each selected part must be reasonable: if gap is too large, heat conduction will be poor, leading to thermal fatigue damage; if gap is too small, extrusion force and tensile stress will occur. Internal stress is easily generated during mold manufacturing process, and internal stress has a great impact on service life of mold. Therefore, in process of manufacturing and processing molds, internal stress should be avoided and eliminated in time. For example, after rough machining, timely stress relief and tempering can be performed, and electric pulses can be used instead of electric sparks to reduce surface tension of mold.

03 Mold surface treatment technology

Through rigorous and reasonable technical treatment of surface of die-casting mold, its performance and life can be greatly improved. Die-casting mold surface treatment technology can be roughly divided into three categories: traditional heat treatment process improvement technology; surface modification technology, such as surface laser treatment technology: coating technology.
(1) Improvement technology of traditional heat treatment process. Traditional die-casting mold heat treatment process is quenching-tempering. So-called improvement technology of traditional heat treatment process is to combine quenching-tempering with advanced surface treatment technology. Such as NQN (i.e. carbonitriding-quenching-carbonitriding composite strengthening), surface hardness of mold is higher, internal strength is increased, hardness gradient of casing layer is reasonable, tempering stability and corrosion resistance are improved, the overall performance and service life are greatly improved.
(2) Surface modification technology. Surface modification technology refers to use of physical or chemical methods to change properties of mold surface. Generally speaking, there are two types: surface heat, expansion and penetration technology and surface laser treatment technology. Surface heat, expansion and carburizing technologies include carburizing, nitriding, boronizing, carbonitriding, sulfur carbonitriding, etc. Carburizing helps strengthen surface hardness of mold. Carburizing process methods include solid powder carburizing, gas carburizing, vacuum carburizing, and ion carburizing. Vacuum carburizing and ion carburizing have fast carburizing speed, uniform carburizing layer, gentle carbon concentration gradient and small deformation of workpiece. Nitriding process is simple, and nitrided layer of mold has high hardness, good wear resistance, and good mold sticking resistance. Boriding improves surface properties most obviously, and mold hardness, wear resistance, corrosion resistance and adhesion resistance are significantly improved, but process conditions are harsh.
Laser treatment of mold surfaces is a technology that has emerged in the past thirty years. It improves surface performance of molds in two ways. One is to melt mold surface with laser and then combine it with carburizing, nitriding, plating and other processes. Another method is to combine laser treatment surface technology with some metal auxiliary materials with better physical properties to integrate them into surface of die-casting mold.
(3) Coating technology. Coating technology is to put a layer of protective clothing on mold by coating the surface, such as polytetrafluoroethylene composite plating. Main purpose is to enhance wear resistance, corrosion resistance and cold and heat resistance of mold.

04 Mold use

Choosing a reasonable die-casting process and maintenance are crucial to service life of mold. Most mold damage is caused by improper use and lack of scientific maintenance. First of all, special attention should be paid to temperature control of mold. Mold should be preheated before production and an appropriate temperature range should be maintained during production to prevent surface cracks or even cracking caused by excessive temperature gradients between inner and outer layers of cavity. Secondly, choose a high-quality die-casting release agent with a moderate thickness and evenly coat mold surface, which plays an important role in protecting mold material. Finally, in order to reduce accumulation of thermal stress and avoid cracking of die-casting mold, it is necessary to regularly use techniques such as tempering to eliminate thermal stress.

05 Mold material conclusion

Die-casting mold materials, mold design and manufacturing, mold surface treatment technology and mold usage comprehensively affect performance and service life of mold. Combining these factors and taking effective measures can effectively improve performance of die-casting molds and extend service life of die-casting molds.

Automotive light bracket die-casting process analysis and mold design

Summary

Structural characteristics of automobile light bracket were analyzed, die-casting process was designed, ProCAST software was used to conduct numerical simulation analysis on filling process, die-casting mold heat balance and temperature field of aluminum alloy die-casting, predict location and causes of defects, and optimize mold structure based on prediction results. Actual production shows that use of optimized mold design improves quality of castings.
Car light bracket parts are an important part of car lights. They need to have sufficient strength to support car light housing, need to have high stability and corrosion resistance to ensure that they can be firmly, accurately and stably fixed on car body to ensure safety of driving at night. Aluminum alloy has been widely used in car light brackets due to its good properties. However, due to uneven wall thickness and complex structure of lamp bracket, defects such as shrinkage and cold insulation are prone to occur during die-casting production process, which cannot meet safe driving requirements of car. In order to improve the overall yield rate of a company’s aluminum alloy car light brackets, this study focuses on die-casting forming process of car light bracket parts, conducts CAE analysis of casting filling and solidification process based on ProCAST, improves die-casting process and mold design for possible defects to improve product quality.

1. Car light bracket parts

Structure of car light bracket casting is shown in Figure 1. Material is EN AC44300 aluminum alloy, and its chemical composition is shown in Table 1. Structure of car light bracket parts is relatively complex, and it is generally plate-shaped. There are some lines on plate to ensure optical performance, and there are also many rib structures. Main wall thickness of casting is 3 mm, but local wall thickness varies greatly. Minimum wall thickness of ribs is 1.2 mm, and maximum wall thickness is 8.4 mm. The overall dimensions are 190.3 mm * 191.88 mm * 74.22 mm, and weight is 613.5 g. Surface of casting is required to be free of burrs and scratches, and there are no casting defects such as shrinkage cavities, shrinkage porosity, cracks, and cold shuts inside, so as to meet strength requirements of bracket parts.

Automotive light bracket die-casting

Figure 1 Casting structure of car light bracket

SiFeCuMnZnMgNiSnAl
10.5≤1.0≤0.10≤0.55≤0.15000margin

Table 1 Chemical composition of EN AC44300 aluminum alloy wB/%

2. Die-casting process and mold design

2.1 Parting surface selection

According to structural characteristics of lamp bracket casting, parting surface is selected on plane where top mounting hole has the largest projected area of casting.

2.2 Sprue design

Gating system not only plays an important role in controlling flow direction and state of molten metal in mold cavity, exhaust conditions, and pressure transmission of mold, but can also adjust filling speed, filling time, and temperature distribution of mold.
In order to make process of molten metal as short as possible, reduce unnecessary heat loss, and to avoid molten metal from directly impacting core, ingate position is set at the top of casting and straight edges at both ends, as shown in Figure 2. Calculation of cross-sectional area of gate:

Automotive light bracket die-casting

In formula: A is cross-sectional area of gate, c㎡; G is weight of molten metal passing through gate, g; ρ is density of molten metal, g/cm³; v is filling speed of molten metal flowing through inner runner, m/s; t is filling time, s. Filling speed is 30 m/s, filling time is 0.04 s, and wall thickness of gate is 1.5 mm. Calculated cross-sectional area of gate is 253 mm2.
Structural form and size of runner mainly depend on shape and size of die casting and shape, position, direction and size of ingate. Recommended calculation formula for thickness of runner is:
                                    D=(5~8)T(2)
In formula: D is thickness of lateral runner, mm; T is thickness of inner runner, mm. Thickness of lateral runner is taken to be 8 mm. In order to facilitate demoulding of casting, demoulding slope of lateral runner is set to 15°.
A horizontal cold chamber die-casting machine was selected, punch diameter was selected as 70 mm, and material handle thickness was set to 18 mm.

2.3 Overflow tank design

During process of filling mold cavity with molten metal, try to eliminate gas in cavity and cold metal liquid at the front end. By setting up an overflow tank, thermal balance of mold can be improved and quality of die castings can be improved. Area around hole in casting is where molten metal converges, it is easy to generate eddy currents and entrap gas. Therefore, overflow groove is set outside hole and at final filling place. At the same time, for processing, overflow groove will be mainly set on movable mold. Gating system for this part is shown in Figure 2.

Automotive light bracket die-casting

Figure 2 Watering and drainage system design

2.4 Cooling system

Cooling system has a decisive influence on forming quality of die-cast products. Figure 3 shows layout of cooling water channels inside die-casting mold for this product. Water channels are evenly distributed around casting, which is conducive to a uniform mold temperature field.

Automotive light bracket die-casting

Figure 3 Distribution of cooling water channels

2.5 Mold structure

Length and width of core of this mold are 350 mm and 300 mm respectively. Mold core structure is shown in Figure 4. Fixed mold core contains insert 1, and movable mold core part contains insert 2. Surrounding shape of casting is formed by three slide blocks. In order to facilitate maintenance and replacement, reduce costs, replaceable long pin cores are made in 17 deep holes.

Automotive light bracket die-casting

Figure 4 Mold core structure

3. CAE analysis

3.1 Preprocessing

HyperMesh software is used to perform CAE pre-processing on casting to obtain a high-quality surface mesh model, which is then input into MeshCAST module of ProCAST software to create a volume mesh. Set grid unit size respectively: 1 mm for casting, 2 mm for movable mold core, fixed mold core, slider, core and water channel, the overall mesh number is 19.54 million, mesh model of casting and mold is shown in Figure 5.

Automotive light bracket die-casting

Figure 5 Mesh division of castings and molds

3.2 Numerical simulation analysis

3.2.1 Initial and boundary conditions

Mold material is H13 steel, and die-casting process parameters are shown in Table 2. Heat transfer coefficient between mold and casting is set to 20 000 W/(㎡·K), heat transfer coefficient between movable mold and fixed mold is 1 000 W/(㎡·K), heat transfer coefficient between mold and air is 100 W/(㎡·K), heat transfer coefficient between release agent and mold is set to 100 W/(㎡·K). Heat transfer coefficient between cooling water and mold is 5 000 W/(㎡·K), temperatures of cooling water and release agent are both 20℃.

Casting temperature/℃Mold preheating temperature/℃Gate speed/(m*s-1)Holding time/s
68022038

Table 2 Die casting process parameters
Die-casting production cycle is divided into four stages, and corresponding times are shown in Table 3. Forming cycle is 50 s.

Liquid metal filling, pressure holding and solidificationOpen mold and take out castingSpray release agentClose mold
20s15s5s10s

Table 3 Die casting forming cycle

3.2.2 Analysis of filling process

Figure 6 shows filling process of molten metal. The entire filling time is 0.042 s. At the beginning, molten metal first fills thin plate part of casting heat sink after passing through ingate, then enters mold cavity from both ends through inner sprues on both sides. After middle filling is completed, molten metal flows to the top until it is full, and finally fills overflow tank farthest from sprue. However, during filling process of molten metal, there are still problems with setting of runner. Part of molten metal will first fill thin plate part of heat sink through middle runner, then enter mold cavity through outer runner. There are multiple strands multiple strands of molten metal flowing together, which can easily form cold insulation and air entrapment, as shown circled in Figure 6d. Gating system is basically reasonable, but there is still room for optimization and improvement.

Automotive light bracket die-casting

Figure 6 Filling process of lamp bracket casting

3.2.3 Mold thermal balance and temperature field analysis

In order to meet requirements of product quality and production efficiency, thermal balance analysis is used to obtain temperature distribution and change trend in mold cavity during die-casting process, which helps to determine sensitive areas of temperature control, take measures to reduce temperature fluctuations, achieve uniformity control of mold temperature field, and provide a reference for formulating reasonable temperature field planning. A uniform mold temperature field will not only extend service life of mold, but also improve quality of castings. Therefore, it is very important to conduct thermal balance analysis and temperature field analysis of mold.
Select a point on the surface of casting, fixed mold and movable mold, as shown in Figure 7, and draw temperature-time curve, as shown in Figure 8. It can be seen that after 12 die-casting cycles, mold has basically reached a thermal equilibrium state.

Automotive light bracket die-casting

Figure 7 Selected points on casting, fixed mold and movable mold

Automotive light bracket die-casting

Figure 8 Three-point temperature-time curve
After mold reaches thermal equilibrium, temperature field of next cycle is selected for analysis. As shown in Figure 9, from left to right are temperature distributions of movable mold, fixed mold and fixed mold insert in three stages before filling, pressure-holding solidification and release agent spraying. Before filling, temperature field distribution of mold is relatively uniform. When molten metal is filled, surface temperature of mold cavity will rise sharply as molten metal enters. During pressure-holding and solidification stage, heat exchange between mold and cooling water and heat dissipation into air cause temperature to gradually drop. Because cavity structure is complex, temperature field is not uniform, and local temperature is high, resulting in a certain difference in solidification time of each part of casting, but the overall temperature field has a small temperature gradient on cavity surface; When mold is opened and parts are taken out, mold surface is in large contact with air. At the same time, under action of release agent, surface temperature of mold cavity decreases rapidly, surface temperature of most of mold cavity and insert drops to below 500℃.
Judging from analysis results of mold temperature field, temperature field distribution on the surface of movable mold and fixed mold cavity is relatively uniform, but local temperature is too high and there are hot spots, so there is still room for optimization.

Automotive light bracket die-casting process analysis

Figure 9 Temperature fields of movable mold, fixed mold and fixed mold insert at different times in one cycle

3.2.4 Defect analysis

Figure 10 shows distribution of shrinkage cavities and shrinkage porosity in bracket die-casting. It can be seen that shrinkage cavities and porosity in casting are concentrated at rib structural connections of heat dissipation lamellae on bracket parts, and at locations with larger wall thickness around holes. Occurrence of these positional defects is mainly because temperature during solidification in these areas is relatively high, solidification time of molten metal is longer, and solidification rate is uneven. When it is completely solidified, molten metal cannot be fed, shrinkage cavities and shrinkage porosity defects appear. In addition, due to complex structure of this casting, improper adjustment of cooling system and uneven heat dissipation, heat accumulation may occur, causing internal temperature of casting to be too high, resulting in cold insulation defects, which will have a certain impact on product quality. Therefore, this solution still needs to be further improved so that produced bracket parts can meet required performance requirements.

Automotive light bracket die-casting process analysis

Figure 10 Distribution of shrinkage cavities and porosity in castings

4. Process improvement and die-casting production

In order to improve phenomenon that flow of sprues at both ends of casting is insufficient and flow is small under influence of core on one side, resulting in confluence of multiple strands of molten metal to form cold isolation and air entrapment, a total of three in-runners are added at confluence at both ends and at location where molten metal is insufficiently filled on one side, as shown in red circle in Figure 11, to make filling process smoother and more uniform; and since overflow groove cannot be installed on heat dissipation sheet, in order to improve exhaust condition of ribs, an ejector rod is added, which eliminates cold separation and improves forming quality of casting.

Automotive light bracket die-casting process analysis

Figure 11 Distribution of shrinkage cavities and porosity in castings after process optimization
After process optimization, numerical simulation predicts distribution of shrinkage cavities and shrinkage porosity in castings, as shown in Figure 11. X-ray non-destructive testing was performed on casting, and results are shown in Figure 12. Through comparison, it was found that flaw detection results were basically consistent with numerical simulation results. Die-casting parts had shrinkage holes in the thickest parts, and there were no pores exceeding Ф0.3 mm in flat corrugations and ribs, which met quality requirements.

Automotive light bracket die-casting process analysis

Figure 12 X-ray non-destructive testing results
After improving pouring system of mold, practical applications show that continuous production efficiency of mold is high, 600 pieces/8 h, yield rate reaches 96%, and mold life reaches 150,000 molds. Die casting with pouring system is shown in Figure 13 shown.

Automotive light bracket die-casting process analysis

Figure 13 Actual die casting

5 Conclusion

Designed die-casting process and mold for aluminum alloy lamp bracket casting, conducted CAE analysis on casting filling process, temperature field, shrinkage cavity and porosity defects. Based on analysis results, die-casting mold design was optimized, gating system and exhaust system were improved, optimized mold design was used to produce a lamp bracket casting product that met quality requirements.

Die casting production case! Research on vacuum die-casting LED lamp radiator castings

Magnesium alloy has characteristics of high specific strength and specific stiffness, good impact resistance, excellent electromagnetic shielding and thermal conductivity, and easy recycling. It also has good casting performance and corrosion resistance, is widely used in aviation, aerospace, 3C and other industries. For example, magnesium alloy can replace aluminum alloy and be used to prepare high-power LED radiators. To obtain magnesium alloy die-casting parts with dense structure and good performance, vacuum die-casting is one of main forming methods. In view of shortcomings of current vacuum die-casting such as low cavity pumping efficiency, unreliable vacuum valve closing, slow vacuum valve response, and high price, a vacuum pumping system containing full-process and half-process exhaust channels was designed. When performing vacuum die casting, reasonable process parameters can obtain good quality die castings. Preliminary research found that fast injection speed has a great impact on structural properties and mechanical properties of vacuum die castings. Therefore, it is of positive significance to study influence of different fast injection speeds on quality of magnesium alloy vacuum die castings. Taking AZ91D magnesium alloy as research object, three sets of vacuum die-casting tests were conducted using a self-designed vacuum pumping system to study effects of different fast injection speeds on mechanical properties and structure of vacuum die-casting parts.

Graphical results

A large AZ91D magnesium alloy LED lamp radiator is used as the target product, and Solidworks software is used to conduct a three-dimensional solid modeling of radiator. Its structural diagram is shown in Figure 1. Size of casting is 220mm*130mm*170mm, and thickness is uneven. The thickest is 8mm, the thinnest is 1.8mm, and average thickness is 4.5mm. Heat sink is the thinnest, a cylindrical push rod position is set at an appropriate position on each heat sink to ensure that the entire die casting is evenly stressed during demoulding process and facilitates smooth demoulding. Gating system is designed according to structural characteristics and forming method of casting.
Test was conducted on a DM400 horizontal cold chamber die-casting machine. In order to protect mold, improve forming efficiency of castings, and reduce scrap rate, an AODE oil circulating mold temperature machine was used to preheat mold to 200℃. Schematic diagram of vacuum exhaust system is shown in Figure 2. Working principle of vacuum pumping system containing full-process and half-process exhaust channels is as follows: before start of die-casting, main valve is closed, and vacuum pump begins to continuously pump air from vacuum tank to achieve a preset vacuum level. When die casting starts, half-process exhaust solenoid valve is open. When molten metal enters pressure chamber through pouring port, injection punch starts to inject. When injection punch crosses pouring port and touches induction switch, main valve opens, vacuum tank simultaneously evacuates mold cavity through full-process exhaust channel and half-process exhaust channel. When injection punch pushes metal liquid forward and triggers fast injection induction switch, half-process exhaust solenoid valve is quickly closed by electromagnetic force, while full-process exhaust channel continues to pump air into cavity, as shown in Figure 2b. When metal liquid fills mold cavity, enters curved and narrow exhaust channel to cool and solidify, pumping stops. At this time, a vacuum die-casting test is completed and a vacuum die-casting part is obtained.

die-casting LED lamp

Figure 1 3D model of die casting

Density/(g*cm-3)Thermal conductivity/(W*m-1*K-1)Latent heat of fusion/(kJ*kg-1)Specific heat capacity/(kJ·kg-1.K-1)
1.70284341.61.42

Table 1 Thermophysical parameters of AZ91D magnesium alloy

die-casting LED lamp

Figure 2 Schematic diagram of vacuum pumping system

1. Static mold 2. Moving mold 3. Vacuum tank 4. Vacuum pump 5. Pour port 6. Punch 7. Pressure chamber 8. Cavity 9. Solenoid valve 10. Half-process exhaust channel 11. Full-process exhaust channel 12.Master valve

NoFast injection speed/(m*s-1)Slow injection distance/mmSlow injection distance/mmInjection specific pressure/MPa
L130.212084
L240.212084
L350.212084

Table 2 Die casting process parameters
Vacuum die casting is shown in Figure 3. Observation shows that vacuum die-casting parts of three sets of radiators are complete in appearance, there is no phenomenon of insufficient charging, and there is almost no difference in appearance. Careful observation revealed that part of heat sink in L1 has a cold insulation, as shown in Figure 4. Therefore, when product is subjected to static load or cyclic stress, it is easy to crack or even break, which seriously affects the safety of the product. In addition, surface flow marks also appear. This is due to low injection speed of fast injection mold. Molten metal that first enters die-casting mold cavity forms a thin and incomplete metal layer, which is covered by subsequent molten metal and leaves traces, thus affecting surface quality of die-casting part. See Figure 4b. No obvious cold insulation and surface flow mark defects were found in L2 heat sink; due to high injection speed of L3, when molten metal quickly fills cavity, it has a great impact and is prone to flash, which increases cost and time of product machining, causes material waste, and shortens life of mold.

die-casting LED lamp

Figure 3 Radiator vacuum die casting

die-casting LED lamp

Figure 4 L1 heat sink surface defects
A number of ordinary die-casting parts and vacuum die-casting parts were produced using L1~L3 process parameters. Ordinary die-casting parts and vacuum die-casting parts produced in the three groups of experiments were sampled respectively. Sampling locations were divided into two parts: second part of heat sink and bottom plate, as shown in Figure 2. Metallurgical crystalline samples and tensile samples were taken using wire-cut electric discharge machines, and JHY-5000 electronic universal testing machine was used to test mechanical properties of heat sink. It can be seen that L1 heat sink has larger shrinkage cavities and a wider distribution of shrinkage porosity; L2 heat sink has a smaller shrinkage range and smaller size; L3 heat sink has larger shrinkage cavities and shrinkage porosity. L1 base plate has smaller shrinkage cavities but they are widely distributed; L2 base plate has a small amount of shrinkage porosity and smaller shrinkage holes; L3 base plate has multiple shrinkage porosity and shrinkage holes. Analysis shows that using a self-designed vacuum pumping system can extract most of gas from mold cavity, so internal pores of vacuum die-casting parts are reduced. However, due to different fast injection speeds, vacuuming time is different, final air pressure of mold cavity is also different, and flow state of metal in cavity is also different. Therefore, shrinkage porosity and shrinkage holes of vacuum die-casting parts produced by three groups of experiments are also different.

NoVacuum die castingOrdinary die casting
Tensile strength/MPaElongation/%Tensile strength/MPaElongation/%
L11852.81661.3
L22265.41993.2
L32114.61912.9
Average2074.31852.5

Table 3 Mechanical properties of heat sink

die-casting LED lamp

Figure 5 Microstructure of vacuum die-casting heat sink

die-casting LED lamp

Figure 6 Microstructure diagram of vacuum die-cast radiator bottom plate

In conclusion

(1) A new vacuum pumping system was used to conduct a vacuum die-casting test. Results show that magnesium alloy radiator vacuum die-casting parts have a complete appearance, less cold insulation, and a reduced number of cracked parts. Compared with ordinary die-casting parts with same process parameters, average tensile strength is increased by 12% and elongation is increased by 72%.
(2) When fast injection speed is high, vacuum die castings are prone to casting defects such as shrinkage and shrinkage holes; when fast injection speed is low, casting defects such as cold shuts and surface flow marks are prone to occur, thus affecting final quality of product.
(3) Under conditions of fast injection speed of 4m/s, slow injection speed of 0.2m/s, slow injection distance of 120mm, and injection specific pressure of 84MPa, magnesium alloy vacuum die-casting parts with complete appearance, dense structure and good mechanical properties can be obtained.