Title: Multi-objective decision-making in single-pass turning using response surface methodology
Authors: T.K. Jana, G.K. Bose, B. Sarkar, J. Saha
Addresses: Department of Mechanical Engineering, Haldia Institute of Technology, HIT Campus, ICARE Complex, Hatiberia, P.O. Haldia, Dist.: Purba Medinipur, Pin – 721 657, West Bengal, India. ' Department of Mechanical Engineering, Haldia Institute of Technology, HIT Campus, ICARE Complex, Hatiberia, P.O. Haldia, Dist.: Purba Medinipur, Pin – 721 657, West Bengal, India. ' Department of Production Engineering, Jadavpur University, Kolkata, Pin – 700 032, West Bengal, India. ' Department of Production Engineering, Jadavpur University, Kolkata, Pin – 700 032, West Bengal, India
Abstract: The present paper is aimed at fulfilment of two basic but conflicting objectives concurrently during turning – higher material removal rate (MRR) and lower surface roughness (Ra) by employing a single set of optimal or near optimal process variables namely cutting speed, feed and depth of cut following response surface methodology (RSM). The experimental data is obtained from a test while turning mild steel round by coated cemented carbide insert in a CNC turning centre. Regression equations are developed for the responses and analysed by ANOVA to establish the significance of the models. Response surfaces and contour plots are studied to investigate the prominence of the variables and their levels so as to optimise the responses. Finally multi-response optimisation is carried out using overlaid contour plots and desirability functions. It is recommended that moderate value of feed along with high levels of speed and depth of cut optimise both the responses simultaneously.
Keywords: design of experiments; DOE; response surface methodology; RSM; ANOVA; overlaid contour plots; desirability function; multi-objective decision making; single-pass turning; material removal rate; MRR; surface roughness; surface quality; mild steel; cemented carbide inserts; CNC turning.
International Journal of Computational Materials Science and Surface Engineering, 2011 Vol.4 No.1, pp.87 - 108
Published online: 11 Jan 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article