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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11706
Title: Predictive Modeling of Turning Operations Using Response Surface Methodology
Authors: Sangwan, Kuldip Singh
Garg, Girish Kant
Keywords: Mechanical Engineering
Cutting forces
Metal Cutting Modeling
Response Surface Methodology (RSM)
Issue Date: Feb-2013
Publisher: Trans Tech Publications Ltd
Abstract: This paper focuses on the development of a predictive model using the measured forces acting on the cutting tool during turning operation of AISI 1045 Steel using a Tungsten Carbide cutting tool insert. On the basis of the experimental results, second order mathematical model is developed in terms of machining parameters by using the Response Surface Methodology (RSM). The results are analyzed statistically and graphically. It has been observed that the predicted values using RSM also follow the same trend as given by the measured values.
URI: https://www.scientific.net/AMM.307.170
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11706
Appears in Collections:Department of Mechanical engineering

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