Multiple-response modelling and optimisation of micro-turning machining parameters using response surface method
by S. Palani; U. Natarajan; M. Chellamalai
International Journal of Materials Engineering Innovation (IJMATEI), Vol. 2, No. 3/4, 2011

Abstract: Response surface methodology (RSM) helps the engineers to raise a mathematical model to represent the behaviour of system as a convincing function of process parameters. This paper investigated the influence of three micro-turning process parameters, which were cutting speed (A), feed rate (B) and depth of cut (C). The response variables were average surface roughness (R_a), tool wear ratio (TWR) and metal removal rate (MRR). Statistical models of these output responses were developed using three-level full factorial design of experiment. The developed models were used for multi-response optimisation by desirability function approach to obtain minimum R_a, TWR and maximum MRR. Maximum desirability was found to be 86.63%. The optimised values of R_a, TWR and MRR were 0.0295 ?m, 0.0272, 0.098 mg/min respectively for 1101.94 rpm cutting speed, 10 ?m/sec feed rate, 0.20 ?m depth of cut. Optimised machining parameters were used in verification experiments, where the responses were found very close to the predicted values.

Online publication date: Thu, 26-Mar-2015

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