| 基于知识的轴对称零件拉深设计支持系统 |
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| 引用本文： | 尹纪龙,王伟明,李大永,彭颖红.基于知识的轴对称零件拉深设计支持系统[J].塑性工程学报,2006,13(4):20-24. |
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| 作者姓名： | 尹纪龙 王伟明 李大永 彭颖红 |
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| 作者单位： | 上海交通大学,机械工程学院,上海,200030 |
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| 基金项目： | 国家自然科学基金;上海市青年科技启明星计划 |
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| 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。
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| 关 键 词： | 轴对称零件 拉深工艺 知识工程 机器学习 |
| 文章编号： | 1007-2012（2006）04-0020-05 |
| 收稿时间： | 2005-08-03 |
| 修稿时间： | 2005-10-09 |
Knowledge based deep-drawing design support system for complex circular shells |
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| YIN Ji-long,WANG Wei-ming,LI Da-yong,PENG Ying-hong.Knowledge based deep-drawing design support system for complex circular shells[J].Journal of Plasticity Engineering,2006,13(4):20-24. |
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| Authors: | YIN Ji-long WANG Wei-ming LI Da-yong PENG Ying-hong |
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| Affiliation: | School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030 China |
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| Abstract: | 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. |
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| Keywords: | circular shell deep-drawing process knowledge-based engineering machine learning |
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