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Multi-Objective Optimization and Empirical Modeling of Centerless Grinding Parameters

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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

This paper deals with the optimization and analysis of grinding parameters in external centerless grinding process. Taguchi’s technique is used to analyze effects of grinding parameters on surface roughness of the workpiece, specific energy consumption, and the roundness error produced during grinding AISI 1040 steel using aluminum oxide-grinding wheel. Taguchi’s design of experiment is used to design an experimental array, based on which experiments were conducted. For 3 parameters and 3 levels of each parameter, L9 Orthogonal array (OA) is selected. Signal-to-Noise ratio is used to analyze the output quality characteristics. Based on the analysis, an optimum condition is chosen and a validation experiment is conducted and the output values were compared and it is found that the specific energy consumption, roundness error were reduced by more than 25 % and the surface roughness obtained is the least value. In order to predict the quality characteristics, an empirical modeling is also developed using general linear regression analysis.

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Correspondence to N. Senthil Kumar .

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© 2012 Springer India

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Senthil Kumar, N., Dhinakarraj, C.K., Deepanraj, B., Sankaranarayanan, G. (2012). Multi-Objective Optimization and Empirical Modeling of Centerless Grinding Parameters. In: Sathiyamoorthy, S., Caroline, B., Jayanthi, J. (eds) Emerging Trends in Science, Engineering and Technology. Lecture Notes in Mechanical Engineering. Springer, India. https://doi.org/10.1007/978-81-322-1007-8_25

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  • DOI: https://doi.org/10.1007/978-81-322-1007-8_25

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1006-1

  • Online ISBN: 978-81-322-1007-8

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