Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM
Titanium and its alloys exhibit numerous uses in aerospace, automobile, biomedical and marine industries because of their enhanced mechanical properties. However, the machinability of titanium alloys can be cumbersome due to their lower density, high hardness, low thermal conductivity, and low elast...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/14/23/7408 |
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| author | Kishan Fuse Arrown Dalsaniya Dhananj Modi Jay Vora Danil Yurievich Pimenov Khaled Giasin Parth Prajapati Rakesh Chaudhari Szymon Wojciechowski |
| author_facet | Kishan Fuse Arrown Dalsaniya Dhananj Modi Jay Vora Danil Yurievich Pimenov Khaled Giasin Parth Prajapati Rakesh Chaudhari Szymon Wojciechowski |
| author_sort | Kishan Fuse |
| collection | DOAJ |
| description | Titanium and its alloys exhibit numerous uses in aerospace, automobile, biomedical and marine industries because of their enhanced mechanical properties. However, the machinability of titanium alloys can be cumbersome due to their lower density, high hardness, low thermal conductivity, and low elastic modulus. The wire electrical discharge machining (WEDM) process is an effective choice for machining titanium and its alloys due to its unique machining characteristics. The present work proposes multi-objective optimization of WEDM on Ti6Al4V alloy using a fuzzy integrated multi-criteria decision-making (MCDM) approach. The use of MCDM has become an active area of research due to its proven ability to solve complex problems. The novelty of the present work is to use integrated fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) to optimize the WEDM process. The experiments were systematically conducted adapting the face-centered central composite design approach of response surface methodology. Three independent factors—pulse-on time (T<sub>on</sub>), pulse-off time (T<sub>off</sub>), and current—were chosen, each having three levels to monitor the process response in terms of cutting speed (V<sub>C</sub>), material removal rate (MRR), and surface roughness (SR). To assess the relevance and significance of the models, an analysis of variance was carried out. The optimal process parameters after integrating fuzzy AHP coupled with fuzzy TOPSIS approach found were T<sub>on</sub> = 40 µs, T<sub>off</sub> = 15 µs, and current = 2A. |
| first_indexed | 2024-03-10T04:49:50Z |
| format | Article |
| id | doaj.art-e5c7b7092627468aac469de9dae940eb |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T04:49:50Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-e5c7b7092627468aac469de9dae940eb2023-11-23T02:43:06ZengMDPI AGMaterials1996-19442021-12-011423740810.3390/ma14237408Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSMKishan Fuse0Arrown Dalsaniya1Dhananj Modi2Jay Vora3Danil Yurievich Pimenov4Khaled Giasin5Parth Prajapati6Rakesh Chaudhari7Szymon Wojciechowski8Department of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Automated Mechanical Engineering, South Ural State University, 454080 Chelyabinsk, RussiaSchool of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UKDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaFaculty of Mechanical Engineering and Management, Poznan University of Technology, 60-965 Poznan, PolandTitanium and its alloys exhibit numerous uses in aerospace, automobile, biomedical and marine industries because of their enhanced mechanical properties. However, the machinability of titanium alloys can be cumbersome due to their lower density, high hardness, low thermal conductivity, and low elastic modulus. The wire electrical discharge machining (WEDM) process is an effective choice for machining titanium and its alloys due to its unique machining characteristics. The present work proposes multi-objective optimization of WEDM on Ti6Al4V alloy using a fuzzy integrated multi-criteria decision-making (MCDM) approach. The use of MCDM has become an active area of research due to its proven ability to solve complex problems. The novelty of the present work is to use integrated fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) to optimize the WEDM process. The experiments were systematically conducted adapting the face-centered central composite design approach of response surface methodology. Three independent factors—pulse-on time (T<sub>on</sub>), pulse-off time (T<sub>off</sub>), and current—were chosen, each having three levels to monitor the process response in terms of cutting speed (V<sub>C</sub>), material removal rate (MRR), and surface roughness (SR). To assess the relevance and significance of the models, an analysis of variance was carried out. The optimal process parameters after integrating fuzzy AHP coupled with fuzzy TOPSIS approach found were T<sub>on</sub> = 40 µs, T<sub>off</sub> = 15 µs, and current = 2A.https://www.mdpi.com/1996-1944/14/23/7408wire electric discharge machining (WEDM)analytical hierarchy process (AHP)TOPSISresponse surface methodology (RSM)optimization |
| spellingShingle | Kishan Fuse Arrown Dalsaniya Dhananj Modi Jay Vora Danil Yurievich Pimenov Khaled Giasin Parth Prajapati Rakesh Chaudhari Szymon Wojciechowski Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM Materials wire electric discharge machining (WEDM) analytical hierarchy process (AHP) TOPSIS response surface methodology (RSM) optimization |
| title | Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM |
| title_full | Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM |
| title_fullStr | Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM |
| title_full_unstemmed | Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM |
| title_short | Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM |
| title_sort | integration of fuzzy ahp and fuzzy topsis methods for wire electric discharge machining of titanium ti6al4v alloy using rsm |
| topic | wire electric discharge machining (WEDM) analytical hierarchy process (AHP) TOPSIS response surface methodology (RSM) optimization |
| url | https://www.mdpi.com/1996-1944/14/23/7408 |
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