Int. J. Machining and Machinability of Materials, Vol. 20, No. 4, 2018 299 Copyright © 2018 Inderscience Enterprises Ltd. Modelling and analysis of roughness characteristics of aluminium alloy under CNC face milling operation Jishu Das, Dibyendu Laya, Sandip Basu and Supriyo Roy* Department of Mechanical Engineering, Hooghly Engineering and Technology College, Hooghly, West Bengal, 712103, India Email: jishu.das94@gmail.com Email: dibyendulaya95@gmail.com Email: basandy007@gmail.com Email: supriyoroy11@gmail.com *Corresponding author 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. Reference to this paper should be made as follows: Das, J., Laya, D., Basu, S. and Roy, S. (2018) ‘Modelling and analysis of roughness characteristics of aluminium alloy under CNC face milling operation’, Int. J. Machining and Machinability of Materials, Vol. 20, No. 4, pp.299–319. Biographical notes: Jishu Das obtained his BTech in Mechanical Engineering from the Hooghly Engineering and Technology College, affiliated to Maulana Abul Kalam Azad University of Technology India in 2017. He has performed the entire experiments described in this paper. Dibyendu Laya obtained his BTech in Mechanical Engineering from the Hooghly Engineering and Technology College, affiliated to Maulana Abul Kalam Azad University of Technology India in 2017. He has analysed the experimental data and obtained the outcome of analysis. Sandip Basu obtained his Master of Technology degree from the NITTTR, Kolkata. Currently he is working as an Assistant Professor in Mechanical Engineering Department of Hooghly Engineering and Technology College, Hooghly India.