Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process
This study aims to develop an accurate dynamic cutting force model in the milling process. In the proposed model, the estimated cutting force tackles the effect of the self-excited vibration that causes machining instability during the cutting process. In particular, the square root of the residual...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/18/3287 |
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| author | Minh-Quang Tran Mahmoud Elsisi Viet Q. Vu Fahad Albalawi Sherif S. M. Ghoneim |
| author_facet | Minh-Quang Tran Mahmoud Elsisi Viet Q. Vu Fahad Albalawi Sherif S. M. Ghoneim |
| author_sort | Minh-Quang Tran |
| collection | DOAJ |
| description | This study aims to develop an accurate dynamic cutting force model in the milling process. In the proposed model, the estimated cutting force tackles the effect of the self-excited vibration that causes machining instability during the cutting process. In particular, the square root of the residual cutting force between the prediction and the actual cutting force is considered as an objective function for optimizing the cutting force coefficients using the equilibrium optimizer (EO) approach instead of the trial-and-error approach. The results confirm that the proposed model can provide higher prediction accuracy when the EO is applied. In addition, the proposed EO has a minimum integral square error (ISE) of around 1.12, while the genetic algorithm (GA) has an ISE of around 1.14 and the trial-and-error method has an ISE of around 2.4. Moreover, the proposed method can help to investigate the cutting stability and to suspend the chatter phenomenon by selecting an optimal set of cutting parameters. |
| first_indexed | 2024-03-09T23:15:53Z |
| format | Article |
| id | doaj.art-ae4cb5dd711c4d8ea8a0799bef799ace |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:15:53Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ae4cb5dd711c4d8ea8a0799bef799ace2023-11-23T17:35:59ZengMDPI AGMathematics2227-73902022-09-011018328710.3390/math10183287Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling ProcessMinh-Quang Tran0Mahmoud Elsisi1Viet Q. Vu2Fahad Albalawi3Sherif S. M. Ghoneim4Department of Mechanical Engineering, Thai Nguyen University of Technology, 3/2 Street, Tich Luong Ward, Thai Nguyen 250000, VietnamDepartment of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, TaiwanFaculty of International Training, Thai Nguyen University of Technology, 3/2 Street, Tich Luong Ward, Thai Nguyen 250000, VietnamDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaThis study aims to develop an accurate dynamic cutting force model in the milling process. In the proposed model, the estimated cutting force tackles the effect of the self-excited vibration that causes machining instability during the cutting process. In particular, the square root of the residual cutting force between the prediction and the actual cutting force is considered as an objective function for optimizing the cutting force coefficients using the equilibrium optimizer (EO) approach instead of the trial-and-error approach. The results confirm that the proposed model can provide higher prediction accuracy when the EO is applied. In addition, the proposed EO has a minimum integral square error (ISE) of around 1.12, while the genetic algorithm (GA) has an ISE of around 1.14 and the trial-and-error method has an ISE of around 2.4. Moreover, the proposed method can help to investigate the cutting stability and to suspend the chatter phenomenon by selecting an optimal set of cutting parameters.https://www.mdpi.com/2227-7390/10/18/3287millingdynamic cutting forcecutting force coefficientsequilibrium optimizer |
| spellingShingle | Minh-Quang Tran Mahmoud Elsisi Viet Q. Vu Fahad Albalawi Sherif S. M. Ghoneim Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process Mathematics milling dynamic cutting force cutting force coefficients equilibrium optimizer |
| title | Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process |
| title_full | Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process |
| title_fullStr | Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process |
| title_full_unstemmed | Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process |
| title_short | Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process |
| title_sort | effective optimization based on equilibrium optimizer for dynamic cutting force coefficients of the end milling process |
| topic | milling dynamic cutting force cutting force coefficients equilibrium optimizer |
| url | https://www.mdpi.com/2227-7390/10/18/3287 |
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