计算机集成制造系统 ›› 2016, Vol. 22 ›› Issue (第6期): 1434-1446.DOI: 10.13196/j.cims.2016.06.006

• 产品创新开发技术 • 上一篇    下一篇

几何演变驱动的机加工艺知识表示与推送

李春磊,莫蓉+,常智勇,杨海成,张栋梁,向颖   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 出版日期:2016-06-30 发布日期:2016-06-30
  • 基金资助:
    国家自然科学基金资助项目(51375395);中国博士后科学基金资助项目(2014M552484)。

Knowledge representation and push of machining process driven by geometric variation

  • Online:2016-06-30 Published:2016-06-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51375395),and the China Postdoctoral Science Fund,China(No.2014M552484).

摘要: 针对工艺设计过程中知识表示与推送困难的问题,认为加工特征的几何演变过程才是工艺知识的直接载体,提出了几何演变驱动下的机加工艺知识表示方法和以此为基础的工艺知识推送模型。对零件工艺实例的几何演变进行了表示,建立了描述其上加工特征形成过程的工艺知识模型;通过融入复杂网络理论建立了机加工艺知识网络模型,定义了工艺知识的推送过程,实现了根据特征工艺设计任务推送所需知识。通过应用实例验证了所提方法的可行性。

关键词: 几何演变, 加工特征, 复杂网络, 工艺知识表示, 工艺知识推送

Abstract: To deal with the difficult problem of knowledge representation and push in machining process,a basic view that the geometry variation process of machining feature was the direct carrier of process knowledge was proposed.The knowledge representation of machining process driven by geometric variation and process knowledge push model based on knowledge representation were presented.The geometric variation of parts machining process was represented,and a new process knowledge model that could describe the formation of machining feature was established.The knowledge network model was built by applying complex network theory,and the knowledge push process was defined,which realized the accurate knowledge push based on process design task.Experimental results showed that the proposed method was feasible and effective.

Key words: geometric variation, machining feature, complex network, process knowledge representation, process knowledge push

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