基于特征的制造资源分类方法的研究  

Study on the Manufacturing Resource Classify Based on Features

作　　者：赵昌龙[1] 关雪松[2] 

机构地区：[1]长春大学机械与车辆工程学院,长春130022 [2]吉林大学机械科学与工程学院,长春130022

出　　处：《组合机床与自动化加工技术》2013年第4期48-50,53,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：吉教科合字[2011]第343号

摘　　要：对制造资源进行有效的分类是建立制造资源模型的前提条件,是虚拟制造的重要组成部分。文章在制造资源的分类过程中,利用设备所能加工的特征作为主要的分组原则,将遗传算法和模糊聚类技术相结合,对制造资源进行基于加工工艺的分组,动态确定聚类数目C和该数目下的最优分类,为今后建立制造资源信息模型进行可制造性评价提供信息支持,减少资源搜索空间,提高加工效率。The effective classification of manufacturing resources is the premise of the manufacturing re-source modeling and is the important part of virtual manufacturing. In this paper, the hybrid clustering algorithm based on genetic algorithm and genetic Fuzzy C - Means is proposed to cluster the machine tools and the features which the machine tool can processed are regarded as the grouping principle. By this means, the optimum number of optimal cluster and the optimal clusters can be obtained at the same time dynamically. The manufaturing resource clustering can provide information support for the manufac-turing resources modeling and manufacturability evaluation and reduce the searching space of processing equipments.

关 键 词：模糊聚类 制造资源 遗传算法 

分 类 号：TP156[自动化与计算机技术—控制理论与控制工程]