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Optimization of Turning Process Parameters Using PSI-Based Desirability-Grey Analysis

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Recent Advances in Material Sciences

Abstract

The present work is to explore the effect of process parameters on the multiple responses of material removal rate and surface roughness concurrently. The speed, feed, depth of cut and nose radius are taken as the controllable process parameters, and the Taguchi standard L16 orthogonal array has been followed for conducting the experiments on medium carbon steel EN24. A hybrid multi-criteria decision-making approach called preference selection index (PSI) method coupled with desirability-grey analysis and ANOVA are employed for the optimization. From the results, the optimal combination of process parameters is obtained at 1500 rpm, 0.05 mm/rev, 0.3 and 0.4 mm of speed, feed, depth of cut and nose radius, respectively.

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Correspondence to D. Suresh .

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Maheswara Rao, C., Srinivasa Reddy, P., Suresh, D., Jagadeesh Kumar, R. (2019). Optimization of Turning Process Parameters Using PSI-Based Desirability-Grey Analysis. In: Pujari, S., Srikiran, S., Subramonian, S. (eds) Recent Advances in Material Sciences . Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-7643-6_19

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