基于CBR的叶片智能化CAPP系统研究
2020-10-23
作者：侍磊1，周麟坤1，陈月芳2，丁玉2，刘会霞1，王霄1
单位：1江苏大学机械工程学院；2常州市金坛腾远机械配件有限公司
摘要：为解决汽轮机叶片生产工艺编制周期长等问题，开发了一款基于实例推理（CBR）的叶片智能化CAPP系统。提出了叶片阶梯式分层信息描述方法和叶片分级属性检索策略，分析和总结了叶片结构和工艺特点，建立了基于特征数据类型的相似度算法分类函数，并由该系统检索出符合叶片工艺设计要求的最佳实例。经测试，该系统能够实现叶片工艺的快速设计，缩短工艺文件的准备周期。
关键词：汽轮机叶片；实例推理；相似度算法；工艺设计
中图分类号：TG501；TH162文献标志码：ADOI：10.3969/j.issn.1000-7008.2020.07.014
Research on Intelligent CAPP System for Blade Based on CBR
Shi Lei，Zhou Linkun，Chen Yuefang，Ding Yu，Liu Huixia，Wang Xiao
Abstract:In order to solve the problem of long process preparation cycle of turbine blades，an intelligent CAPP system of blades is developed through casebased reasoning.The hierarchical information description method and the classified attribute retrieval strategy are proposed，and the characteristics of the blade structure and the machining process are analyzed and summarized.Then the classification function of similarity algorithm based on the characteristic data type is established，and the best examples that meet the requirements of blade process planning are retrieved by the system.Through testing，it is found that the system can quickly make the blade process planning，therefore shortening the preparation period of process documents.
Keywords:turbine blade；casebased reasoning；similarity algorithm；process planning