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

fYear

1991

fDate

9-10 May 1991

Firstpage

569

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-87942-638-1

Type

conf

DOI

10.1109/PACRIM.1991.160802

Filename

160802