Genetic Algorithm for optimizing cutting conditions of uncoated carbide (WC-Co) in milling machining operation

This paper presents the capability of Genetic Algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the surface roughness (Re) value in milling process. The optimal machining parameters are generated using MATLAB Optimization toolbox. Re...

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Bibliographic Details
Main Authors: Mohd. Zain, Azlan, Haron, Habibollah, Sharif, Safian
Format: Book Section
Published: IEEE 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/14631/
http://dx.doi.org/10.1109/CITISIA.2009.5224209
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