Optimization of Integrated Forming Process for Cast Aluminum Alloys Based on 3D Microstructure Characterization
MIAO Yisheng1, HOU Qinghuai1, WANG Junsheng1, 2, LI Zhongyao3, WU Xuelong3, WANG Shihao3, LANG Yuling4, KONG Decai4, MA Xiaoying4, QIAO Haibo4
1. School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China;
2. Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China;
3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
4. CITIC Dicastal Co., Ltd., Qinhuangdao 066010, China
Casting defects such as gas and shrinkage porosity are common in aluminum alloys, which seriously affect their performance. In this study, a multi-scale prediction model for defects in cast aluminum alloys based on cellular automaton models was developed independently. To verify the accuracy of the model, X-ray computed tomography (XCT) was utilized to characterize the size and morphology of the microporosities in different parts of the components in three dimensions. A comparative analysis of the predicted and experimental results revealed that the model was capable of efficiently predicting the microporosities sizes in various parts of the components, with the most accurate predictions for the equivalent diameter of the microporosities, exhibiting an average relative error of approximately 25%. This multiscale prediction model can effectively accelerate the optimization of the wheel casting process, improve wheel production efficiency and reduce production costs.
苗以升，侯清怀，王俊升，李钟尧，吴雪龙，王诗豪，郎玉玲，孔德才，马小英，乔海波. 基于微观组织三维表征的铸造铝合金一体化成形工艺优化[J]. 航空制造技术, 2024, 67(23/24): 72-79.
MIAO Yisheng, HOU Qinghuai, WANG Junsheng, LI Zhongyao, WU Xuelong, WANG Shihao, LANG Yuling, KONG Decai, MA Xiaoying, QIAO Haibo. Optimization of Integrated Forming Process for Cast Aluminum Alloys Based on 3D Microstructure Characterization[J]. Aeronautical Manufacturing Technology, 2024, 67(23/24): 72-79.
2024, 
