Title: Parametric optimisation of CNC turning for Al-7020 with RSM

Authors: Bikram Jit Singh; Harsimran Singh Sodhi

Addresses: Department of Mechanical Engineering, Maha Rishi Markandeshwar University, Sadopur, Ambala-134007, Haryana, India ' Mechanical Department, RIMT-Maharaja Agrasen Engineering College, House No: 16, Bank Colony, Patiala, Mandi-Gobindgarh, Punjab-147001, India

Abstract: In the present manufacturing scenario, quality and quantity are two challenging aspects to be looked upon. Quality is important according to customer point of view, whereas quantity is required for the industry to maximise profit earnings. For the sustainability of machining industry, there should be an optimised path which should be followed to satisfy not only the aspect of higher material removal rate (MRR) but also to achieve lower surface roughness (Ra) simultaneously. MRR and Ra are inversely related machining characteristics and in case of non-ferrous materials these mainly depends upon input variables like: cutting speed, feed and depth of cut. Therefore in this study, optimisation of multi-response CNC turning parameters has been done by using central composite design technique of 'response surface methodology' (RSM) through Minitab 16 Software. Further statistical testing of results is verified through ANOVA. The paper discusses an experimental study on Al-7020 alloy turned with un-coated carbide tip tool with a 'CNC TL-250 turner' that has a wide application in aerospace, machine tools and automobiles sector. It focuses more on software-based approach for implementing RSM on machining parameters, in contrast of conventional methods.

Keywords: CNC turning; response surface methodology; RSM; one way ANOVA; material removal rate; MRR; surface roughness; aluminium alloys; cutting speed; feed; depth of cut; central composite design; CCD; machining parameters.

DOI: 10.1504/IJOR.2014.061769

International Journal of Operational Research, 2014 Vol.20 No.2, pp.180 - 206

Received: 14 Sep 2012
Accepted: 19 Nov 2012
Published online: 21 Jun 2014 *

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