A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process

Abstract The objective of this study is to propose a method called the fuzzy technique for order preference by similarity to the ideal solution (F-TOPSIS) to select parameters of the wire electrical discharge machining (WEDM) process. Consequently, the parameters principally influencing the outputs...

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Main Authors: Babatunde Alade Sawyerr, Ebun Fasina, Wasiu Oyediran Adedeji, Mofoluso Kehinde Adeniran, Sunday Ayoola Oke, John Rajan
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Journal of Engineering and Applied Science
Subjects:
Online Access:https://doi.org/10.1186/s44147-023-00292-8
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author Babatunde Alade Sawyerr
Ebun Fasina
Wasiu Oyediran Adedeji
Mofoluso Kehinde Adeniran
Sunday Ayoola Oke
John Rajan
author_facet Babatunde Alade Sawyerr
Ebun Fasina
Wasiu Oyediran Adedeji
Mofoluso Kehinde Adeniran
Sunday Ayoola Oke
John Rajan
author_sort Babatunde Alade Sawyerr
collection DOAJ
description Abstract The objective of this study is to propose a method called the fuzzy technique for order preference by similarity to the ideal solution (F-TOPSIS) to select parameters of the wire electrical discharge machining (WEDM) process. Consequently, the parameters principally influencing the outputs of the WEDM process were identified and examined using the F-TOPSIS framework where the inputs of three decision makers, representing their opinions are incorporated into the analysis. The idea of parametric selection in a WEDM process is multicriteria-based when the production of nitinol-60 smart memory alloy (SMA) is critically considered. Current approaches of TOPSIS and analytic hierarchy process (AHP) evaluations to select the WEDM parameters fail because of the constraints of linguistic evaluations, but the use of F-TOPSIS crosses over the restriction to choose the best parameters in a WEDM process for nitinol-60 SMA. In this work, the experimental results obtained from published research were utilised to validate the proposed method. The validation of the suitability of F-TOPSIS, aided by the published work on the WEDM process, analysed the surface integrity of nitinol-60 SMA. From the five outputs, the closeness coefficients of the best and worst are found to be 0.7567 and 0.2838, respectively. This research aids the process engineer in optimising the outputs in the WEDM process, to select the best output. Hence, the research showcased how the WEDM process could select outputs efficiently, thus aiding process engineers to maintain the process to optimise parametric resource allocations and guarantee utmost productivity.
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spelling doaj.art-53079a60afa9443d8e0fc638709427982023-11-26T13:27:55ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122023-10-0170112010.1186/s44147-023-00292-8A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining processBabatunde Alade Sawyerr0Ebun Fasina1Wasiu Oyediran Adedeji2Mofoluso Kehinde Adeniran3Sunday Ayoola Oke4John Rajan5Department of Computer Science, University of LagosDepartment of Computer Science, University of LagosDepartment of Mechanical Engineering, University of LagosDepartment of Manufacturing Engineering, Vellore Institute of TechnologyDepartment of Manufacturing Engineering, Vellore Institute of TechnologyDepartment of Manufacturing Engineering, Vellore Institute of TechnologyAbstract The objective of this study is to propose a method called the fuzzy technique for order preference by similarity to the ideal solution (F-TOPSIS) to select parameters of the wire electrical discharge machining (WEDM) process. Consequently, the parameters principally influencing the outputs of the WEDM process were identified and examined using the F-TOPSIS framework where the inputs of three decision makers, representing their opinions are incorporated into the analysis. The idea of parametric selection in a WEDM process is multicriteria-based when the production of nitinol-60 smart memory alloy (SMA) is critically considered. Current approaches of TOPSIS and analytic hierarchy process (AHP) evaluations to select the WEDM parameters fail because of the constraints of linguistic evaluations, but the use of F-TOPSIS crosses over the restriction to choose the best parameters in a WEDM process for nitinol-60 SMA. In this work, the experimental results obtained from published research were utilised to validate the proposed method. The validation of the suitability of F-TOPSIS, aided by the published work on the WEDM process, analysed the surface integrity of nitinol-60 SMA. From the five outputs, the closeness coefficients of the best and worst are found to be 0.7567 and 0.2838, respectively. This research aids the process engineer in optimising the outputs in the WEDM process, to select the best output. Hence, the research showcased how the WEDM process could select outputs efficiently, thus aiding process engineers to maintain the process to optimise parametric resource allocations and guarantee utmost productivity.https://doi.org/10.1186/s44147-023-00292-8Nitirol-60Smart memory alloyFuzzy TOPSISMulticriteria
spellingShingle Babatunde Alade Sawyerr
Ebun Fasina
Wasiu Oyediran Adedeji
Mofoluso Kehinde Adeniran
Sunday Ayoola Oke
John Rajan
A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
Journal of Engineering and Applied Science
Nitirol-60
Smart memory alloy
Fuzzy TOPSIS
Multicriteria
title A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
title_full A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
title_fullStr A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
title_full_unstemmed A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
title_short A fuzzy TOPSIS method for surface integrity criteria ranking using the wire electrical discharge machining process
title_sort fuzzy topsis method for surface integrity criteria ranking using the wire electrical discharge machining process
topic Nitirol-60
Smart memory alloy
Fuzzy TOPSIS
Multicriteria
url https://doi.org/10.1186/s44147-023-00292-8
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