计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 177-180.

• 软件工程 • 上一篇    下一篇

基于实例推理的高速切削数据库系统构建

王永忠,王松涛,林爱琴,郑敏利,程 晓   

  1. (哈尔滨理工大学机械工业切削控制及高效刀具技术重点实验室 哈尔滨150080)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Construction of Case-based Reasoning High-speed Machining Database System

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对高速切削领域缺乏完整、实用的数据库支持的问题,构建了一种发动机零件高速切削工艺实例库模型,提出了一种实现实例推理的算法。研究了发动机零件的切削工艺,归纳了常规切削中对切削工艺具有重要影响作用的工艺特征,对常规切削进行问题描述;在此基础上,从提高加工精度的角度出发,归纳了高速切削工艺中对提高加工质量具有重要影响作用的工艺特征,提出了高速切削问题描述的方法;针对各个工艺特征给出了局部相似度的计算方法,提出了一种客观赋权法即嫡值法来确定各个工艺特征的权重值;采用最近部居法实现实例检索。通过实际应用证明了这种数据库的可行性以及实例推理算法的合理性。

关键词: 高速切割,工艺特征,实例推理,相似度,权重,墒值法,实例检索,最近部居法

Abstract: A case-based database model of high-speed cutting for engine parts was built, and a case-based reasoning algorithm was presented to solve the problem of lack of complete and practical database in high-speed machining area. By researching high-speed cutting process of engine parts, this paper analyzed the factors that play important role in cutting process. These factors arc described as process features, which describe cases and arc taken as the case retrieval conditions. A method of calculating the local similarity for each process features, as well as an objective entropy method to determine the weights of process features were presented. Case retrieval is achieved by nearest neighboring method.Through application, the feasibility of the database and the rationality of the cascbased reasoning are proved.

Key words: High-speed machining, Process features, Case-based reasoning, Similarity, Weight, Entropy method, Case retrieval,Nearest neighboring method

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