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Title of Journal: Int J Adv Manuf Technol

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Abbravation: The International Journal of Advanced Manufacturing Technology

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Springer-Verlag

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DOI

10.1016/j.apcata.2013.07.001

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1433-3015

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Selection of optimum tool geometry and cutting con

Authors: N Suresh Kumar Reddy P Venkateswara Rao
Publish Date: 2005/01/12
Volume: 26, Issue: 11-12, Pages: 1202-1210
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Abstract

Influence of tool geometry on the quality of surface produced is well known and hence any attempt to assess the performance of end milling should include the tool geometry In the present work experimental studies have been conducted to see the effect of tool geometry radial rake angle and nose radius and cutting conditions cutting speed and feed rate on the machining performance during end milling of medium carbon steel The first and second order mathematical models in terms of machining parameters were developed for surface roughness prediction using response surface methodology RSM on the basis of experimental results The model selected for optimization has been validated with the Chi square test The significance of these parameters on surface roughness has been established with analysis of variance An attempt has also been made to optimize the surface roughness prediction model using genetic algorithms GA The GA program gives minimum values of surface roughness and their respective optimal conditions

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