Design optimization of control programs for thermal metal cutting, using genetic algorithm

Author

Frolovsky, Vladimir D. ; Pushkaryova, Galina V.

Author_Institution

Dept. of the Autom. Control Syst., Novosibirsk State Tech. Univ., Russia

Volume

1

fYear

2004

fDate

26 June-3 July 2004

Firstpage

27

Abstract

This paper describes the application of the methodology of genetic programming to automated design of the control programs for CNC (computer numerical control) machine tools for thermal metal cutting. The designed set of algorithms and programs is intended for automated design of optimal trajectories of closed paths in a bivariate area given by a technological map of cutting. The results obtained give a reason to believe that application of artificial intelligence technologies in CAD will allow to effectively solve the NP-complicated problems of discrete continuous structure.

Keywords

CAD; artificial intelligence; computerised numerical control; control engineering computing; cutting; cutting tools; genetic algorithms; machine tools; production engineering computing; CNC machine tools; NP-complicated problems; artificial intelligence technologies; automated design; bivariate area; control programs; design optimization; discrete continuous structure; genetic algorithm; technological cutting map; thermal metal cutting; Algorithm design and analysis; Application software; Artificial intelligence; Automatic control; Computer numerical control; Design optimization; Genetic algorithms; Genetic programming; Machine tools; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on

Print_ISBN

0-7803-8383-4

Type

conf

DOI

10.1109/KORUS.2004.1555264

Filename

1555264