关键词: 加工参数, 知识库, 知识获取, ANN, 规则

Abstract: It is time-consuming to determine appropriate machining parameters in milling process.The paper aims to propose an approach with hybrid technology to establish knowledge base for automation of the determination.Firstly，the relationship among milling parameters is discussed.And then the knowledge contained in these relations is classified into three kinds.As rule based reasoning technology cannot represent the quantitative kind knowledge in an efficient and full-scale way，Aartificial Neural Network（ANN） is brought forward to solve the problem in selection of these parameters.A modified Vogl learning strategy is presented to support the developed ANN model.To demonstrate the performance of the proposed approach，the most complicated patterns from handbook literature are used to train ANN.In the end，some key techniques with the method used to develop a knowledge base system for milling operation are introduced.

Key words: machining parameters, knowledge base, knowledge acquisition, Artificial Neural Network, Rule