Title: Modelling and analysis of roughness characteristics of aluminium alloy under CNC face milling operation

Authors: Jishu Das; Dibyendu Laya; Sandip Basu; Supriyo Roy

Addresses: Department of Mechanical Engineering, Hooghly Engineering and Technology College, Hooghly, West Bengal, 712103, India ' Department of Mechanical Engineering, Hooghly Engineering and Technology College, Hooghly, West Bengal, 712103, India ' Department of Mechanical Engineering, Hooghly Engineering and Technology College, Hooghly, West Bengal, 712103, India ' Department of Mechanical Engineering, Hooghly Engineering and Technology College, Hooghly, West Bengal, 712103, India

Abstract: In the last few decades the use of aluminium and its alloys have increased to a high level due to its light weight, corrosion resistance and excellent castability. It is well known that most of the metal parts are manufactured by machining. In the era of modern manufacturing CNC milling has become one of the most competent, productive and flexible manufacturing methods. Thus different controlling parameters like, spindle speed, feed rate, depth of cut, tool geometry, tool material, coolant have high influence on the surface texture of the machined product. Hence in this study, the effect of three important machining parameters viz., cutting speed, feed rate and depth of cut on the surface roughness (centre line average and ten point height roughness) has been investigated. The optimum combination of these parameters has also been determined for single and multi objective function by two evolutionary optimisation methods (ABC and GA) and compared.

Keywords: CLA; ten point height; CNC machining; stylus profilometer; artificial bee colony algorithm; genetic algorithm; multi-objective optimisation.

DOI: 10.1504/IJMMM.2018.094729

International Journal of Machining and Machinability of Materials, 2018 Vol.20 No.4, pp.299 - 319

Received: 06 Jul 2017
Accepted: 31 Aug 2017
Published online: 14 Sep 2018 *

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