Al-enabled properties distribution prediction for high-pressure die casting Al-Si alloy

作     者：Yu-Tong Yang Zhong-Yuan Qiu Zhen Zheng Liang-Xi Pu Ding-Ding Chen Jiang Zheng Rui-Jie Zhang Bo Zhang Shi-Yao Huang 

作者机构：Key Laboratory for Light-Weight MaterialsNanjing Tech UniversityNanjing211816People’s Republic of China Xi’an Jiaotong-Liverpool UniversitySuzhou215000JiangsuPeople’s Republic of China Materials Academy JITRISuzhou215100JiangsuPeople’s Republic of China Key Laboratory for Light-weight MaterialsNanjing University of Science and TechnologyNanjing210009People’s Republic of China College of Materials Science and EngineeringChongqing UniversityChongqing400044People’s Republic of China Collaborate Innovation Center of Steel TechnologyUniversity of Science and Technology BeijingBeijing100083People’s Republic of China Chongqing Millison Technologies Inc.Chongqing401321People’s Republic of China 

出 版 物：《Advances in Manufacturing》 (先进制造进展（英文版）)

年 卷 期：2024年第12卷第3期

页      面：591-602页

核心收录：

学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 

基　　金：support from the National Natural Science Foundation of China(Grant Nos.51575068 51501023 and 52271019) 

主　　题：Artificial intelligence(AI) Properties prediction High-pressure die-casting(HPDC) Image recognition Machine learning 

摘      要：High-pressure die casting(HPDC)is one of the most popular mass production processes in the automotive industry owing to its capability for part ***,the nonuniform distribution of mechanical properties in large-sized HPDC products adds complexity to part property ***,a methodology for property prediction must be *** characterization,simulation technologies,and artificial intelligence(AI)algorithms were ***,an image recognition technique was employed to construct a temperature-microstructure characteristic model for a typical HPDC Al7Si0.2Mg ***,a porosity/microstructure-mechanical property model was established using a machine learning method based on the finite element method and representative volume element model ***,the computational results of the casting simulation software were mapped with the porosity/microstructure-mechanical property model,allowing accurate prediction of the property distribution of the HPDC Al-Si *** AI-enabled property distribution model developed in this study is expected to serve as a foundation for intelligent HPDC part design platforms in the automotive industry.