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

X. Wang, I. S. Jawahir

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

In this paper, a new genetic algorithms-based method is applied for the optimization of cutting conditions and selection of cutting tools in multi-pass turning operations. A comprehensive optimization criterion for multi-pass turning operations 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 multi-pass turning operations is also developed. The effect of progressive tool-wear in optimization processes for multi-pass turning operations is included in the current work. Presented case studies demonstrate the application of the new methodology for optimal allocation of 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.

Original languageEnglish
Pages3093-3100
Number of pages8
StatePublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Conference

ConferenceJoint 9th IFSA World Congress and 20th NAFIPS International Conference
Country/TerritoryCanada
CityVancouver, BC
Period7/25/017/28/01

ASJC Scopus subject areas

  • Computer Science (all)
  • Mathematics (all)

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