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Hard Finish Turning Parameters Optimization for Machining of High Temperature Stainless Steel

  • J. Maniraj EMAIL logo , V. Selladurai , N. Sivashanmugam , S. Arungalai Vendan and S. Myilswamy
Published/Copyright: December 13, 2012

Abstract

This experimental study aims at investigating the optimization of hard finish turning operation parameters for martensitic stainless steel using the analysis of variance (ANOVA) and back propagation neural network (BPNN). Experimental trials are carried out based on an orthogonal array of Taguchi method. The recorded data are assessed and evaluated using ANOVA and artificial neural network (ANN) techniques. A multilayer perception model is constructed with back-propagation algorithm using the input parameters of depth of cut, cutting speed and feed rate. Crater wear and surface roughness of the machined component are the output parameters. On completion of the experimental test, ANOVA and ANN models are employed to validate the results obtained and further to predict the behavior of the system under conditions within the prevailing operating range.


Department of Mechanical Engineering, Park College of Engineering Technology, NH-47, Avinashi Road, Kaniyur, Coimbatore-641659,Tamilnadu, India

Received: 2012-03-13
Accepted: 2012-04-10
Published Online: 2012-12-13
Published in Print: 2012-12-14

©[2012] by Walter de Gruyter Berlin Boston

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