A genetic algorithm approach for optimization of surface roughness prediction model

Deals with the study and development of a surface roughness prediction model for machining mild steel, using response surface methodology. The experimentation was carried out with TiN-coated tungsten carbide cutting tools. An attempt has also been made to optimize the surface roughness prediction mo...

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Bibliographic Details
Published in:International journal of machine tools & manufacture 2002-05, Vol.42 (6), p.675-680
Main Authors: Suresh, P V S, Rao, P V, Deshmukh, S G
Format: Article
Language:English
Online Access:Get full text
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Summary:Deals with the study and development of a surface roughness prediction model for machining mild steel, using response surface methodology. The experimentation was carried out with TiN-coated tungsten carbide cutting tools. An attempt has also been made to optimize the surface roughness prediction model using genetic algorithms to optimize the objective function. (Original abstract - amended)
ISSN:0890-6955