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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SpringerOpen
2023-10-01
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Series: | Journal of Engineering and Applied Science |
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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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institution | Directory Open Access Journal |
issn | 1110-1903 2536-9512 |
language | English |
last_indexed | 2024-03-09T15:09:42Z |
publishDate | 2023-10-01 |
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series | Journal of Engineering and Applied Science |
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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