Abstract
The present work aims to access the consequence of turning parameter e.g., spindle speed (N), depth of cut (D) and feed rate (f) on several execution indices viz. surface roughness and material removal rate in the machining of AISI D2 steel by means of PVD coated carbide tool. Experimentation trials were carried in accordance to the L9 orthogonal array. In addition, attempts were made to turn the multiple responses got into single responses utilizing TOPSIS. In this study, Decision-Makers’ (DMs’) subjective opinion (in regards of response weight) which were expressed in language-based terminologies has been transformed into fuzzy numbers. Fuzzy representation of multiple-judgments have been aggregated and finally defuzzified to obtain crisp weight. Response data thus obtained from machining experiments along with crisp weight of the responses have been utilized in TOPSIS. At last, for determining the combination of optimal parameters, Taguchi has been implemented.
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