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
高健峰1
作者信息
- 1. 上海亚大汽车塑料制品有限公司,上海 201708
- 折叠
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.
Abstract
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 multi-ple algorithms was also introduced.Finally,the prospect on the development direction of simulation technology for plastic automo-tive parts was expounded.
关键词
汽车零部件/塑料/模拟仿真/成型工艺优化Key words
automotive part/plastic/simulation/molding process optimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据