Affiliation:
1. Department of Engineering, University of the South Pacific, PO Box 1168, Suva, Fiji,
Abstract
This paper presents a new methodology involving the use of Tribes for the selection of cutting conditions in single-pass milling operations. The new methodology, which is autonomous because it does not need any parameter tuning, is based on a comprehensive optimization criterion integrating the contributing effects of all major machining performance measures for milling operations. The results of case studies previously considered using genetic algorithms are presented to demonstrate the application of this new methodology for the determination of optimum cutting conditions in face- and end-milling operations. Results obtained show that the new methodology is efficient, effective, and competitive.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Cited by
10 articles.
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