塑料类汽车零部件仿真模拟技术研究进展  

Research progress in simulation technology of plastic automotive parts

作　　者：高健峰 GAO Jianfeng(Shanghai Chinaust Automotive Plastics Co.,Ltd.,Shanghai 201708,China)

机构地区：[1]上海亚大汽车塑料制品有限公司,上海201708

出　　处：《工程塑料应用》2024年第6期182-186,192,共6页Engineering Plastics Application

摘　　要：从选材与结构优化、成型工艺优化和性能测试仿真方面,综述了近几年国内在塑料类汽车零部件仿真模拟技术方面的研究进展情况。其中,在成型工艺优化方面,重点总结了BP神经网络、灰色关联等算法在注射成型工艺优化方面的应用情况,同时也介绍了多种算法联合仿真的研究进展情况。最后对应用于塑料类汽车零部件的仿真模拟技术发展方向进行了展望。From the aspects of material selection and structural optimization,molding process optimization,and performance testing simulation,the domestic research progress in simulation technology of plastic automotive parts in recent years was reviewed.Among them,in terms of molding process optimization,the application of algorithms such as BP neural network,grey correlation and so on in injection molding process optimization was mainly summarized,and the research progress in joint simulation of multiple algorithms was also introduced.Finally,the prospect on the development direction of simulation technology for plastic automotive parts was expounded.

关 键 词：汽车零部件 塑料 模拟仿真 成型工艺优化 

分 类 号：TQ320.72[化学工程—合成树脂塑料工业]