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dc.contributor.authorKanakarajan, P-
dc.contributor.authorSundaram, S.-
dc.contributor.authorKumaravel, A-
dc.contributor.authorRajasekar, R-
dc.contributor.authorVenkatachalam, R-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.description.abstractGrinding process is used widely for producing industrial parts with high precision and high surface quality for modern ceramics. But only a few machining tests were carried out on grinding by using silicon carbide (SiC) grinding wheel with various parameters. In this paper, an analytical model is developed to determine the surface roughness (Ra) and wheel wear (Ww) of modern ceramic material (Al2O3) during grinding. The model is developed to fitting the relationships Ra, Ww versus three process parameters (depth of cut, feed and grain size) using multiple regression analysis method. The main objective of this paper is to develop a model for optimizing the Ra and Ww values of modern Al2O3 ceramic material and SiC grinding wheels during grinding. Besides, experimental results are used to establish the multiple regression analysis equations for Ra and Ww. The predicted values of Ra and Ww show linear relationships versus three parameters and have a good agreement with experiment results.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.24(3) [June 2017]en_US
dc.subjectMultiple regression analysisen_US
dc.subjectSurface roughnessen_US
dc.subjectWheel wearen_US
dc.titlePrediction of the surface roughness and wheel wear of modern ceramic material (Al2O3) during grinding using multiple regression analysis modelen_US
Appears in Collections:IJEMS Vol.24(3) [June 2017]

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