Novel EDAS-Taguchi and EDAS-Taguchi-Pareto Methods for Wire EDM Process Parametric Selection of Ni55.8Ti (Nitinol) Shape Memory Alloy

Abstract

The EDAS (evaluation based on distance from average solution) method is a broadly utilized tool for multi-criteria analysis with the ability to handle several conflicting criteria. The Taguchi method is an optimization tool with economic capability in experimentation. This article presents EDAS Taguchi (EDAS-T) method based on EDAS and the Taguchi method. It also presents EDAS Taguchi-Pareto (EDAS-TP) method framed from EDAS and Taguchi-Pareto methods. Furthermore, data from the literature to test the proposed methods are presented, which the results are compared. This research shows that the EDAS method produces the optimum combination of parameters at a run with a current of 4A, pulse on time of 50 µs, pulse off time of 14ms, and powder concentration of 1 g/L. Also, the EDAS-Taguchi method reveals a current of 4A, pulse on time of 60 µs, pulse off time of 14 µs, and powder concentration of 1 g/L. However, the principal result is that using the EDAS Taguchi-Pareto method, the optimal current is 3A, pulse on time is 60 µs, and powder concentration is 0.75g/L. The EDAS Taguchi-Pareto method eliminated the pulse off time and pulse on time, claiming that it is not significant to the system's optimum performance. The principal novelty of this article is that it introduces a mechanism of concurrently optimizing and selecting the wire EDM process parameters using the EDAS-Taguchi-Pareto method. The optimization is parallelly conducted as selection occurs, providing an initial notification to ascertain timely detection and control of local optimality of parameters to global optimization before final selection. This is unlike most evaluations, where optimization is done differently from the selection. This study is the first to develop and use EDAS methods for the WEDM process of Ni55.8Ti shape memory alloy.

Optimal Cutting Conditions of Abrasive Waterjet Cutting for Ti-6Al-2Sn-2Mo Alpha-Beta Alloy Using EDAS and DFA Methods

“…While acknowledging the responsibility to change the raw Ti-6Al-2Sn-4Zr-2Mo alloy into parts usage by the jet engines, for instance, a chief focus of the process engineer is to optimize the machining process. To implement the EDAS method, two measures, namely the desirability of options, broken down to the negative and positive distances from the average solution are needed (Okponyia & Oke, 2021;Maduekwe & Oke, 2022). The author of the EDAS method prides in the method's evasion of the concept of the ideal and nadir solutions for the principal parameters of the AWJM process (Okponyia & Oke, 2021;Maduekwe & Oke, 2022).…”

“…To implement the EDAS method, two measures, namely the desirability of options, broken down to the negative and positive distances from the average solution are needed (Okponyia & Oke, 2021;Maduekwe & Oke, 2022). The author of the EDAS method prides in the method's evasion of the concept of the ideal and nadir solutions for the principal parameters of the AWJM process (Okponyia & Oke, 2021;Maduekwe & Oke, 2022). For more details on the EDAS method, information is obtainable from Ulutas (2017).…”

“…When the output is to be minimized (Okponyia & Oke, 2021;Maduekwe & Oke, 2022): 3) is also used in the EDAS method to compute the positive distance from the average solutions but for the minimization case. To minimize, the higher value of zero and the difference between the average of the respective output values and the output value is obtained.…”

“…The EDAS method, originated by KeshavarzGhorabaee et al in the year 2015 works efficiently where conflicting features prevail (Maduekwe & Oke, 2022). As a multicriteria tool, the EDAS method permits the ranking of experimental trials from experiments to choose the best rank which generates optimal parameters and the corresponding responses (Okponyia & Oke, 2021;Maduekwe & Oke, 2022). The desirability function analysis connotes the concept of the outstanding quality of a parameter in which this outlier is taken as exhibiting an overwhelming quality that others cannot beat.…”

“…In this article, the EDAS method and not other multicriteria approaches were deployed because as distinct from other multicriteria methods, the EDAS method disallows the subjective interest of people as inputs to the computations using questionnaires are not usually associated with the traditional EDAS method (Okponyia & Oke, 2021;Maduekwe & Oke, 2022). Furthermore, the DFA method was adopted as an optimization method in this work and not another optimization method such as the Taguchi method because it avoids the problem of not being able to distinguish superior parameters from another.…”