Abstract

There are several statistical techniques available for enhancing the different machining aspects of the high speed machining process. Following the completion of the experiments, calculations of several reaction parameters, including MRR and SR, were made. In this study work, the GRA, the Topsis, and the Taguchi approach are compared. This research compares the effects of optimizing an entire operation's machining parameter. In order to encourage an optimal balance between productivity and surface quality, the advancement is thus completed with the usage of subsequently enhanced qualities. In the experiment, the optimum point of view yielded similar results in the case of Topsis and Taguchi techniques. From an optimal point of view those levels were respectively level 2 for cutting speed, level 2 for feed rate, level 3 for depth of cut and level 1 for step over. Confirmatory studies demonstrate that the improvement in preference values in the experimental and initial settings is, respectively, 0.999641 and 0.483, which is sufficient, when TOPSIS and GRA are used.

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