Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM
Machining of titanium alloy grade V (Ti6Al4V) is very difficult by conventional metal cutting process due to low thermal conductivity, ability to retain strength at elevated temperature, tendency to work harden. This may result in high heat at the cutting zone and the generation of thermal stresses....
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785423004672 |
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| author | Mithilesh K. Dikshit Suryansh Singh Vimal K. Pathak Kuldeep K. Saxena Manoj Kumar Agrawal Vinayak Malik Karrar hazim Salem Muhammad Ijaz Khan |
| author_facet | Mithilesh K. Dikshit Suryansh Singh Vimal K. Pathak Kuldeep K. Saxena Manoj Kumar Agrawal Vinayak Malik Karrar hazim Salem Muhammad Ijaz Khan |
| author_sort | Mithilesh K. Dikshit |
| collection | DOAJ |
| description | Machining of titanium alloy grade V (Ti6Al4V) is very difficult by conventional metal cutting process due to low thermal conductivity, ability to retain strength at elevated temperature, tendency to work harden. This may result in high heat at the cutting zone and the generation of thermal stresses. Therefore, in the present research die-sinking electrical discharge machining is used to machine Ti6Al4v alloy. A non-dominated sorting genetic algorithm (NSGA II) coupled with rotary central composite design (RCCD) based on response surface methodology (RSM) is employed to optimize machining parameters in die-sinking electrical discharge (EDM) machining of Ti6Al4V. A quadratic mathematical model has been developed for material removal rate (MRR) and surface roughness (Ra) in terms of peak current (I), pulse on time (Ton) and pulse off time (Toff) as independent input parameters. Die-sinking EDM experiments are planned using RCCD based on response surface methodology. Results revealed that peak current is the most influencing EDM parameter on both MRR and Ra with PC of 35.86% and 57.10% respectively. MRR continuously increases with peak current. MRR firstly decreases and then increases with an increase in Ton. Ra continuously increases with peak current and starts decreasing after a coded value of 1.5. The Optimization result obtained by NSGA II is validated through confirmation experiments which are in good agreement with the experimental value with an absolute error of 6% and 4.8% in MRR and Ra respectively. |
| first_indexed | 2024-03-13T04:10:18Z |
| format | Article |
| id | doaj.art-52ff05d377814cefaea2cf6a80fef613 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-03-13T04:10:18Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-52ff05d377814cefaea2cf6a80fef6132023-06-21T06:55:29ZengElsevierJournal of Materials Research and Technology2238-78542023-05-0124223235Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDMMithilesh K. Dikshit0Suryansh Singh1Vimal K. Pathak2Kuldeep K. Saxena3Manoj Kumar Agrawal4Vinayak Malik5Karrar hazim Salem6Muhammad Ijaz Khan7Department of Mechanical & Aerospace Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, IndiaDepartment of Mechanical & Aerospace Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, IndiaDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India; Corresponding author.Division of Research and Development, Lovely Professional University, Phagwara 144411, India; Corresponding author.Department of Mechanical Engineering, GLA University, Mathura, UP 281406, IndiaDepartment of Mechanical Engineering, KLS Gogte Institute of Technology, Belagavi 590008, Karnataka, India; Visvevaraya Technological University, Belagavi 590018, IndiaAl-Mustaqbal University College, 51001 Hillah, Babil, IraqDepartment of Mechanics and Engineering Science, Peking University, Beijing, China; Department of Mechanical Engineering, Lebanese American University, Kraytem, Beirut 1102-2801, LebanonMachining of titanium alloy grade V (Ti6Al4V) is very difficult by conventional metal cutting process due to low thermal conductivity, ability to retain strength at elevated temperature, tendency to work harden. This may result in high heat at the cutting zone and the generation of thermal stresses. Therefore, in the present research die-sinking electrical discharge machining is used to machine Ti6Al4v alloy. A non-dominated sorting genetic algorithm (NSGA II) coupled with rotary central composite design (RCCD) based on response surface methodology (RSM) is employed to optimize machining parameters in die-sinking electrical discharge (EDM) machining of Ti6Al4V. A quadratic mathematical model has been developed for material removal rate (MRR) and surface roughness (Ra) in terms of peak current (I), pulse on time (Ton) and pulse off time (Toff) as independent input parameters. Die-sinking EDM experiments are planned using RCCD based on response surface methodology. Results revealed that peak current is the most influencing EDM parameter on both MRR and Ra with PC of 35.86% and 57.10% respectively. MRR continuously increases with peak current. MRR firstly decreases and then increases with an increase in Ton. Ra continuously increases with peak current and starts decreasing after a coded value of 1.5. The Optimization result obtained by NSGA II is validated through confirmation experiments which are in good agreement with the experimental value with an absolute error of 6% and 4.8% in MRR and Ra respectively.http://www.sciencedirect.com/science/article/pii/S2238785423004672Die-sinking EDMMRRRCCDSurface roughnessNSGA II |
| spellingShingle | Mithilesh K. Dikshit Suryansh Singh Vimal K. Pathak Kuldeep K. Saxena Manoj Kumar Agrawal Vinayak Malik Karrar hazim Salem Muhammad Ijaz Khan Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM Journal of Materials Research and Technology Die-sinking EDM MRR RCCD Surface roughness NSGA II |
| title | Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM |
| title_full | Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM |
| title_fullStr | Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM |
| title_full_unstemmed | Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM |
| title_short | Surface characteristics optimization of biocompatible Ti6Al4V with RCCD and NSGA II using die sinking EDM |
| title_sort | surface characteristics optimization of biocompatible ti6al4v with rccd and nsga ii using die sinking edm |
| topic | Die-sinking EDM MRR RCCD Surface roughness NSGA II |
| url | http://www.sciencedirect.com/science/article/pii/S2238785423004672 |
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