Optimization of milling operations for the selection of cutting conditions using Tribes

Author:

Onwubolu G C1

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.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference38 articles.

1. Regression Analysis for Predicting Surface Finish and Its Application in the Determination of Optimum Machining Conditions

2. Optimization of the Constrained Machining Economics Problem by Geometric Programming

3. Satyanarayana B., Rao P. N., Tewari N. K. Application of non-linear goal programming technique in metal cutting. In Proceedings of the 12th All India Machine Tool Design and Research Conference, IIT Delhi, India, 1986, pp. 483–486.

4. Optimum Cutting Conditions for Turned Components

5. Computer-aided selection of optimum machining parameters in multipass turning

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