Ecology, Environment and Conservation Paper

Vol 24, Feb. Suppl. Issue 2018; Page No.(422-427)

EXPERIMENTAL INVESTIGATION OF PROCESS PARAMETERS DURING ENVIRONMENT FRIENDLY TURNING PROCESS

K.M. Senthil Kumar, R. Thirumalai , J.S. Senthilkumaar and M. Chandrasekharan

Abstract

Environmental friendly machining includes the concept of dry machining. Dry machining do not require lubricants or cooing agents for the purpose of machining process. The lubricants and cooling agents will pollute the environment and it becomes injurious to the human lives working in the machines. This work focusses on the experimental investigation of process parameters based on the environmental friendly machining process. Taguchi methods are developed to optimize single response processes and it is not appropriate for optimising a multi-response problem. In a single objective optimization algorithm, the process will terminate once the optimum solution is arrived. But there could be finite number of optimal solutions will involve for a multi objective problems. In this work, Multi objective optimization called Nondominated Sorting Genetic Algorithm (NSGA-II) is proposed, in which the non- dominated solutions are obtained. In order to select a single solution from this optimized solutions, (Multi criteria decision making) MCDM is proposed in this work. Multi criteria decision making is an exclusive techniques which is employed in involving optimum selection among a given finite numbers of alternatives. Among various MCDM methods, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with Analytical Hierarchy Process (AHP) method has a higher potential to solve the decision making problem. In this work, machining of Inconel 718 using carbide cutting tool with multi objective functions is considered. The mathematical models are developed and a set of non-dominated solutions for multi objective functions are obtained using NSGA II. From these set of solutions, a single solution is obtained using MCDM evaluates and ranks the machining conditions.

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