基于MBD的叶片CAPP-NC系统研究  

Research on CAPP-NC system of blade based on MBD

作　　者：赵霞[1] 刘永华[1] 宋猛 陈月芳 丁玉 王霄[2] 刘会霞[2] Zhao Xia;Liu Yonghua;Song Meng;Chen Yuefang;Ding Yu;Wang Xiao;Liu Huixia(College of Mechanical and Electrical Engineering,Jiangsu Vocational College of Agriculture and Forestry,Jiangsu Jurong,212400,China;School of Mechanical Engineering,Jiangsu University,Jiangsu Zhenjiang,212013,China;Changzhou Jintan Tengyuan Machinery Parts Co.,Ltd.,Jiangsu Changzhou,213000,China)

机构地区：[1]江苏农林职业技术学院机电工程学院,江苏句容212400 [2]江苏大学机械工程学院,江苏镇江212013 [3]常州市金坛腾远机械配件有限公司,江苏常州213000

出　　处：《机械设计与制造工程》2022年第7期58-61,共4页Machine Design and Manufacturing Engineering

基　　金：江苏农林职业技术学院院级科研项目(2020kj066);江苏省高校优秀科技创新团队项目(2020kj069)。

摘　　要：为解决叶片工艺设计与数控编程存在的数据源不统一、工艺设计效率低以及工艺文件可视化不足等问题,通过引入MBD技术,在NX软件平台上开发出一套基于MBD的叶片CAPP-NC系统。首先建立叶片MBD设计模型;其次提出基于扩展属性邻接图的加工特征识别方法,确定加工时间最短作为加工元排序的优化目标,基于改进遗传算法对加工元进行排序;最后开发出原型系统,并验证了系统的可行性与实用性。In order to solve the problems of inconsistent data sources,low efficiency of process design and insufficient visualization of process files in blade process design and NC programming,a set of blade CAPP-NC system based on MBD on NX software platform is developed.The MBD design model of blade is established,and the machining feature recognition method based on extended attribute adjacency graph is proposed.The shortest machining time is determined as the optimization objective of machining element sorting,and the machining elements are sorted based on improved genetic algorithm.Finally,a prototype system is developed,and the feasibility and practicability of the system are verified.

关 键 词：MBD 叶片加工 特征识别 加工元排序 计算机辅助工艺过程设计 

分 类 号：TH162[机械工程—机械制造及自动化] TH164