Title :
Candidate machining sequence generation for optimal process planning using a knowledge-based system
Author :
Dong, Z. ; Hu, W.
Author_Institution :
Dept. of Mech. Eng., Victoria Univ., BC, Canada
Abstract :
An approach for generating feasible machining sequences to a given mechanical design, using a knowledge-based system, is presented. Manufacturing knowledge applied in the production sequence generation, including machine availability, feasible production operations, production cost-tolerance relations, and successive and alternative production operations are modeled and implemented in a knowledge-based system. The approach identifies the optimal production sequence for a given design by combining qualitative knowledge deduction and quantitative numerical optimization. It can significantly improve computer-automated process planning (CAPP) systems
Keywords :
CAD/CAM; knowledge based systems; machining; process computer control; production control; alternative production operations; computer-automated process planning; feasible production operations; knowledge-based system; machine availability; machining sequence generation; manufacturing knowledge; mechanical design; production cost-tolerance relations; production sequence generation; qualitative knowledge deduction; quantitative numerical optimization; successive production operations; Cost function; Design optimization; Geometry; Humans; Knowledge based systems; Machining; Process planning; Production systems; Surface finishing; Virtual manufacturing;
Conference_Titel :
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-87942-638-1
DOI :
10.1109/PACRIM.1991.160802
