Abstract

Original scientific paper Multi objective optimization is an important issue in complex industrial problems. In this experimental study, optimum machining parameters are determined in turning operation of EN25 steel with coated carbide tools using combined Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) method. This technique is a multi-objective optimization method which has been adopted to simultaneously minimize micro hardness, surface roughness and maximize material removal rate (MRR). The result indicates the effectiveness of this approach. This method is applicable to all machining operations with greater number of objectives simultaneously.

Highlights

  • The machining parameters are chosen based on the knowledge, operators experience and referring to standard handbooks

  • Optimization techniques help as to select the optimum combination of machining parameters [3]

  • The aim of this study is to find the optimal combination of machining parameters in turning of EN25 steel with Physical Vapour Deposition (PVD) and Chemical Vapour Deposition (CVD) coated carbide tools using combined TOPSIS and AHP method for simultaneous minimization of micro hardness, surface roughness and maximization of metal removal rate

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Summary

Introduction

The machining parameters are chosen based on the knowledge, operators experience and referring to standard handbooks. The selected machining parameters may not be the optimal solution which leads to higher cost of the product [1]. High machining performance is obtained by the selection of optimum machining parameters [2]. Optimization techniques help as to select the optimum combination of machining parameters [3]. In the area of manufacturing new materials are developed to meet industrial requirements, but it is not possible to utilize them directly. Experimental study is required [4]. EN25 steel is nickel chromium molybdenum high strength low alloy medium carbon steel which is used in various industries like automobile and aircraft industries [7]

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