Optimisation of Machining Parameters for Turning En16 Steel:Desirability Function Analysis and Anova

This paper presents optimisation of machining parameters for turning EN16 steel using desirability function analysis (DFA). The experiments were conducted using Taguchi's L27 orthogonal array on CNC turning with tungsten carbide tool. The machining parameters such as, cutting speed, feed rate and depth of cut are optimised by multi-response considerations namely surface roughness and material removal rate. The optimal machining parameters have been determined by the composite desirability value obtained from the desirability function analysis, and significant contribution of parameters can then be determined by analysis of variance (ANOVA). The analysis of the result shows that the optimal combination for good surface roughness and high material removal rate are medium cutting speed, medium feed rate and high depth of cut. Confirmation test is also conducted to validate the test result. Experimental results have shown that machining performance can be improved effectively through this approach.