Multiple-response modelling and optimisation of micro-turning machining parameters using response surface method. (10th October 2011)

• Record Type: Journal Article
• Authors: Palani, S.; Natarajan, U.; Chellamalai, M.
• Is Part Of: International journal of materials engineering innovation. Volume 2:Number 3/4(2011)
• Page Start: 288
• Page End: 309
• Publication Date: 2011-10-10
• Subjects: micro turning -- response surface methodology -- RSM -- surface roughness -- tool wear ratio -- TWR -- metal removal rate -- MRR; Materials science -- Periodicals; Materials -- Research -- Periodicals; Materials -- Technological innovations -- Periodicals; 620.11
• Languages: English
• ISSNs: 1757-2754

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 ( Ra ), 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 Ra, TWR and maximum MRR. Maximum desirability was found to be 86.63%. The optimised values of Ra, TWR and MRR were 0.0295 µm, 0.0272, 0.098 mg/min respectively for 1101.94 rpm cutting speed, 10 µm/sec feed rate, 0.20 µm depth of cut. Optimised machining parameters were used in verification experiments, where the responses were found very close to the predicted values.