Optimization of multi-pass turning operations using genetic algorithms for the selection of cutting conditions and cutting tools with tool-wear effect

Author

Wang, X. ; Jawahir, I.S.

Author_Institution

Center for Robotics & Manuf. Syst., Kentucky Univ., Lexington, KY, USA

fYear

2001

fDate

25-28 July 2001

Firstpage

3093

Abstract

A new genetic algorithm-based method is applied to the optimization of cutting conditions and selection of cutting tools in multi-pass turning operations (MPTOs). A comprehensive optimization criterion for MPTOs is developed and used as the objective function integrating the contributing effects of all major machining performance measures in all passes. A new methodology for the allocation of total depth of cut in MPTOs is also developed. The effect of progressive tool wear in optimization processes for MPTOs is included in the current work. Presented case studies demonstrate the application of the new methodology for optimal allocation of the total depth of cut as well as optimization of cutting conditions and the selection of cutting tool inserts, and offer a comparison between optimization processes with and without the effect of tool wear in all passes

Keywords

cutting; genetic algorithms; machine tools; performance index; wear; cutting conditions optimization; cutting tool inserts; cutting tool selection; genetic algorithms; machining performance measures; multi-pass turning operations; objective function; progressive tool wear; total cut depth allocation; Biological cells; Cutting tools; Databases; Genetic algorithms; Genetic mutations; Machining; Optimization methods; Rough surfaces; Surface roughness; Turning;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943722

Filename

943722