KNOWLEDGE-BASED PROCESS PLANNING SYSTEM FOR THE MANUFACTURE OF PROGRESSIVE DIES

被引:22
作者
LEE, IBH
LIM, BS
NEE, AYC
机构
[1] GINTIC Institute of CIM, Nanyang Technological University, 2263, Nanyang Avenue
[2] Department of Mechanical and Production Engineering, National University of Singapore, 0511
关键词
Knowledge intensive activities - Part definition data - Process planning - Production rules - Progressive die plates;
D O I
10.1080/00207549308956724
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A progressive die is a tool for producing large quantities of sheet metal components rapidly, accurately and economically. The design of the press tool and its process planning functions are very specialized and knowledge-intensive activities. In order to effectively address the problems associated with the process planning function, an intelligent knowledge-based object-oriented process planning (IKOOPP) system has been developed for the manufacture of progressive die plates. The IKOOPP system uses part definition data extracted directly from a plate model based on a computer-aided die design system. The object-oriented schema, production rules and heuristical representations are effectively integrated to represent the complex relationships in die design, process planning, heat treatment and fixture design.
引用
收藏
页码:251 / 278
页数:28
相关论文
共 56 条
[1]  
Allen D.K., Generative Process Planning Using the DCLASS Information System, (1979)
[2]  
Allen D.K., An Introduction to Computer-Aided Process Planning, CIM Review, 4, 1, pp. 7-23, (1987)
[3]  
Ansaldi S., Boato L., Canto M.D., Fusconi F., Giannini F., Integration of AI techniques and CAD solid modelling for process planning applications, Proceedings of Computer Applications in Production and Engineering, pp. 351-364, (1989)
[4]  
Bhaskaran K., Process plan selection, International Journal of Production Research, 28, 8, pp. 1527-1539, (1990)
[5]  
Boerma J.R., Kals H., Fixture design with FIXES: The automatic selection of positioning, clamping and support features for prismatic parts, Annals of CIRP, 38, 1, pp. 399-402, (1989)
[6]  
Brooks S.L., Hummel K.E., Wolf M.L., XCUT: A Rule-Based Expert System for the Automated Process Planning of Machined Parts, pp. 181-194, (1987)
[7]  
Chiang P.T., Yang J.C., Development of a process determination and sequencing technique for a manufacturing system, International Journal of Production Research, 29, 3, pp. 513-535, (1991)
[8]  
Chou Y.C., Chandru V., Barash M.M., A mathematical approach to automatic configuration of machining fixtures: Analysis and synthesis, Journal of Engineering for Industry, Lit, pp. 299-307, (1989)
[9]  
Darvishi A., Gill K.F., Expert system rules for fixture design, International Journal of Production Research, 28, 10, pp. 1901-1920, (1990)
[10]  
Erve A.H., Generative Computer-Aided Process Planning for Part Manufacturing, (1988)