Abstract
In dry machining, Interference Temperature plays a major role for Tool Wear and change in workpiece properties. Interface temperature and Tool wear are mainly affected by controllable turning parameters such as cutting speed, feed and depth of cut. The research aim of this paper is to minimize tool wear by optimizing controllable turning parameters during high speed dry turning of super alloy Inconel 718. Full FactorialDesign of Experiments is planed with 3 Levels for the purpose. A Finite Element Analysis model is created using Deform 3D software.The FEA outcomes are compared with Experimental results.ANOVAis carried out for the experimental results and mathematical models are developed for both the responses and are used for formulating a multi objective optimization.Multi-objective optimization is carried out using Genetic Algorithm.Satisfactory results are obtained through this research work and can be adopted in Industries.
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