A Comparative Assessment of TOPSIS Variants in Multi-Attribute Optimization of EDM Process Parameters

A Comparative Assessment of TOPSIS Variants in Multi-Attribute Optimization of EDM Process Parameters

Ankit Kumar Singh, Srinivasan Murugan, Dhruva Kumar, Saurabh Sharma
Copyright: © 2021 |Pages: 13
DOI: 10.4018/978-1-7998-7206-1.ch007
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Abstract

The machining aspects of EDM sustains the discharge energy and discharge duration. This generated energy causes debris removal and evaporation of material. Therefore, in this chapter, an investigation is carried out to perform optimization of input process variables through the EDM process of ASTM A681 steel metal wielding the modified weighted TOPSIS MCDM technique. The study consists of process variables like discharge current, discharge duration, and discharge energy for the output response measurement of material removal rate (MRR) and average surface roughness. The multi-criteria decision approach is based on entropy, SDV, and mean-weighted TOPSIS and finds an output response related to the closeness coefficient between the feasible solution and the ideal solution. From the result, it is observed that the rank produced by mean weighted TOPSIS and SDV-TOPSIS are almost the same. But the rank produced by entropy-TOPSIS is slightly different as compared to the other method. However, the first, second, and third ranks are the same for all three techniques.
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Introduction

Increase in demand for quality finishing and energy-efficient machining process has been a point of contention since the past few decades. Extensive energy consumption and rise in loss of materials in machining have coerced the manufacturing system, to find a suitable way to optimize the resources and preserve the environment from losses (Gostimirovic, et al., 2018) (Mahajan, et al., 2018) (Singh, et al., 2018). With the expansion in the research effort and worldwide demand to improve the energy-efficient machining, an optimized EDM process has been suggested to fathom this challenge. Electrical Discharge Machining is a popular and robust non-traditional machining approach being intensively used for modern day’s problems. This machine is used to cut intricate shapes and grooving pattern irrespective of the material hardness i.e. like super alloys & alloys. EDM is a non-contact metal removing approach which works on the principle of thermo-electrical erosion, controlled by high-frequency pulse generator in a dielectric medium. This generator develops a huge potential (Volts) between tool and material filled with a dielectric, causing the metal to vaporize and remove. This act of huge potential eliminates the mechanical stress, chatter and vibrations in the work-piece (Ganesh, et al. 2020).

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