基于加工能力模糊聚类的设备分组方法  

Machine Grouping Method Based on Fuzzy Clustering of Machining Capability

作　　者：周媛媛[1] 田锡天[1] 黄利江[1] 辛宇鹏[1] 马光辉[2] 

机构地区：[1]西北工业大学CAPP与制造工程软件研究所,西安710072 [2]中航工业西安航空发动机(集团)有限公司,西安710021

出　　处：《航空制造技术》2016年第3期66-70,共5页Aeronautical Manufacturing Technology

摘　　要：为了在工艺设计中高效、合理、准确地确定加工设备,实现资源优化配置,提出了基于加工能力模糊聚类的设备分组方法。该方法采用加工能力元描述设备的加工能力,通过对加工能力元的聚类分组,实现对设备的分组。在此基础上,建立了加工能力元的数学模型,采用区间数模糊C-均值聚类算法对模型进行了求解,并采用改进的最大最小距离算法产生初始分组中心。最后,通过具体实例,验证了该方法的有效性。In order to select machine effectively, reasonably and correctly among process planning and optimize resource allocation, a method named machine grouping method based on fuzzy clustering of machining capability is proposed. In this method, machining capability element is introduced to describe machining capability and machines are grouped by clustering grouping of machining capability element. Then, a mathematical model is built to describe machine capability element. The model is solved by fuzzy C-means clustering algorithm for interval-valued data. Improved max-min distance algorithm is adopted to generate initial grouping centers. Finally, an example is used to validate the method.

关 键 词：加工能力 模糊聚类 设备分组 

分 类 号：TH162[机械工程—机械制造及自动化]