Multi-Objective Optimisation by Combination of Response Surface Methodology and Desirability Function for Grinding of DRACs

Pai, Dayananda and Rao, Srikanth S and Shetty, Raviraj (2011) Multi-Objective Optimisation by Combination of Response Surface Methodology and Desirability Function for Grinding of DRACs. In: Proceedings of the International Conference on Design and Advances in Mechanical Engineering, 16 - 17 December, 2011., SKP Engineering College, Tiruvannamalai, TamilNadu., India.

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Abstract

The selection of optimum process variables in a grinding process involves multiple conflicting objectives and often solution to such problems is sought by converting them into a single composite objective. The present study is focused on the multi-objective optimisation of performance parameters such as specific energy, metal removal rate (MRR) and surface roughness obtained in grinding of Al-SiC35P composites using desirability function approach. Al-SiC specimens with three different volume percentage of SiC particles having mean diameter 355m, feed and depth of cut were chosen as process variables. Further a mathematical prediction model of the performance parameters were developed using response surface methodology (RSM). Later the effects of grinding process variables on the performance parameters were evaluated and optimum grinding conditions were determined using desirability function approach. Finally the optimum result obtained by the model is validated with the experimental results. The results obtained by the developed model and those obtained by the experiments were quite close, which indicates that the developed model can be effectively used to predict the specific energy, metal removal rate and surface roughness

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Surface grinding, metal matrix composites, specific energy, surface roughness, metal removal rate (MRR), response surface methodology, desirability function
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 03 Dec 2014 11:35
Last Modified: 03 Dec 2014 11:35
URI: http://eprints.manipal.edu/id/eprint/141188

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