Optimization of Metal Removal Rate for 6061 Aluminium in Turning Operation Using ANOVA, Taguchi and Fuzzy Logic

Sayed Shafayat Hossain, Rubayet Hassan

Abstract


Optimization is a method through which better results are attained under certain circumstances. The chief objective of today’s contemporary manufacturing industries is to produce low cost and high quality products in short time. The selection of optimal cutting parameters is a very significant concern for every machining process in order to augment the quality of machining products and diminishes the machining costs. This research work signifies on an optimization of metal removal rate in turning operation by applying Taguchi, ANOVA (Analysis of Variance) & fuzzy logic method to deduce the effect of the cutting parameters on metal removal rate.

Keywords


Metal Removal Rate MRR; ANOVA; Design of Experiments; Taguchi Method; Fuzzy logic

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Copyright (c) 2015 Sayed Shafayat Hossain, Rubayet Hassan

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