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在Pro/E中自动生成零件拆卸优先约束矩阵
引用本文:薛俊芳,邱长华,向东. 在Pro/E中自动生成零件拆卸优先约束矩阵[J]. 工程图学学报, 2007, 28(3): 24-29
作者姓名:薛俊芳  邱长华  向东
作者单位:1. 哈尔滨工程大学机电学院,黑龙江,哈尔滨,150001;内蒙古工业大学机械学院,内蒙古,呼和浩特,010051
2. 哈尔滨工程大学机电学院,黑龙江,哈尔滨,150001
3. 清华大学精密仪器与机械学系,北京,100084
摘    要:拆卸优先约束矩阵为建立产品的拆卸层次信息图模型提供了基础信息,保证了拆卸序列规划结果的正确性和有效性.在Pro/E中用C语言完成了零件拆卸优先约束矩阵自动生成的二次开发,包括模型调入和预处理、简单拆卸路径生成和包容盒逐级分解的干涉检验等3个模块.解决了自动判别节点可拆卸性的关键问题,为机电产品基于拆卸层次信息图建模的自动化提供了有力的支持.

关 键 词:计算机应用  拆卸优先约束矩阵  干涉检验  拆卸层次信息图
文章编号:1003-0158(2007)03-0024-06
收稿时间:2006-10-30
修稿时间:2006-10-30

Automatic Acquirement of Part Disassembly Priority Restriction Matrix Based on Pro/E
XUE Jun-fang,QIU Chang-hua,XIANG Dong. Automatic Acquirement of Part Disassembly Priority Restriction Matrix Based on Pro/E[J]. Journal of Engineering Graphics, 2007, 28(3): 24-29
Authors:XUE Jun-fang  QIU Chang-hua  XIANG Dong
Affiliation:1. School of Electromechanical Engineering, Harbin Engineering University, Harbin Heilongjiang 150001, China; 2. School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot Inner Mongolia 010051, China; 3. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China
Abstract:Disassembly priority restriction matrix provides the basic information for constructing the disassembly hierarchy information graph.It can insure the result of disassembly sequence planning correctly and effectively.So it is necessary to acquire the part disassembly priority restriction matrix from CAD model.The work is achieved on the bases of Pro/E and C language,and included 3 modules: loading the model and pretreatment,creating the simple disassembly path,interference checking based on containing box decomposed gradually.The research has resolved a key problem in automatic distinguishing the disassembly ability of node,and promoted the automation level of constructing a disassembly hierarchy information graph for electromechanical products.
Keywords:computer application   disassembly priority restriction matrix   interference checking   disassembly hierarchy information graph
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