In this research work, the impact of machining parameters over material removal rate and surface roughness were experimentally investigated. Based on a hybrid grey relational analysis, the optimum conditions were determined. Grey relational analysis were used so as to arrive at a grey relational grade and further to evaluate the multi-characteristic output from grey relational coefficient of each response. The experiments were designed on the basis of Taguchi’s design of experiments in which a L16 orthogonal array was chosen for three parameters that differed through four levels. Using a response table, the optimal setting was identified whereas the impact of input parameters on the output was measured using ANOVA. Using this technique, the study improved the performance characteristics of the machining process which was proved with the results retrieved from the conformation experiment.
Volume 11 | Issue 6
Pages: 268-275