摘要
研究了复杂轴对称零件拉深工艺智能设计过程中知识获取、集成和应用的方法,包括基于形状单元的产品表示、基于设计手册的设计过程知识获取、基于仿真技术和机器学习技术的成形性能评价知识获取和设计参数调整与控制知识获取等,开发了基于知识的智能设计系统,引导设计人员快速、有效地完成轴对称壳体拉深件的设计,并通过一个设计实例验证了方法的可行性。
Artificial intelligence and knowledge based engineering technologies are widely used in die ＆ mould design. In this paper an intelligent deep-drawing process design system for complex circular shells is developed, which build the product representation based on shape element and the knowledge base by machine learning technology. It helps the engineers design the deep-drawing product easier, faster and efficient. A design case is given to illustrate its efficiency.
出处
《塑性工程学报》
EI
CAS
CSCD
北大核心
2006年第4期20-24,共5页
Journal of Plasticity Engineering
基金
国家自然科学基金(60304015)
上海市科技启明星计划跟踪项目(01QMH1411)
关键词
轴对称零件
拉深工艺
知识工程
机器学习
circular shell
deep-drawing process
knowledge-based engineering
machine learning
