Author : Md Imran Ansari and B. Kotiveerachary

The motto of this project work is focused on the effect of Minimum Quantity Lubrication (MQL) on the surface roughness produced during turning Incoloy 800. Experiments were designed using Orthogonal array and nine experiments each under different conditions of lubrication viz. dry, MQL1(150ml/hr), MQL2(300ml/hr) and flood(600ml/hr) were conducted. Later Taguchi methodology was used to optimize the cutting parameters to have lowest surface roughness among different combinations of speed, feed and depth of cut. The results were analyzed using Analysis of Variance (ANOVA). It was shown that feed played a major role in producing lower surface roughness followed by speed whereas depth of cut has least significance in producing lower surface roughness. It was observed from the results that MQL1 showed least surface roughness compared to dry, MQL2 and flood condition. Regression Analysis was carried out for different cutting conditions using Minitab software and mathematical models were generated which established relation among cutting parameters and surface roughness. The models validation were checked using residuals normal probability plot, residual versus order run plot. Finally the accuracy of the developed models was checked using predicted versus actual surface roughness plot.

Keywords: Minimum quantity lubrication, Surface roughness, Taguchi method, Regression analysis.

Article published in International Conference on Advances in Mechanical Sciences 2014, Special Issue-2 (Feb 2014)