Fuzzy Rule Based Optimization in Machining of Inconel 718 release_zbwclc2isnaedob7gjijeael44

Abstract

Inconel 718 are commonly used in the aerospace and automotive industries due to its excellent physical and mechanical properties. With the growing of Inconel 718 in aforesaid industries, machining of these materials has become a major concern for the manufacturing industries. The recent knowledge and state of art of machining Inconel 718 unfortunately is seemed to be insufficient for its optimal economic utilization. This paper presents an optimization study made on machining of Inconel 718 rods with different machining parameters. Here, machining parameters viz. spindle speed, feed rate and depth of cut are considered. Fuzzy rule based modelling approach combined with Taguchi's robust design philosophy has been adopted to evaluate the optimal process parameters thereby satisfying conflicting requirements of material removal rate (MRR) and surface roughness of the machined Inconel 718. Effectiveness of the proposed model has been illustrated in this study.
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