Applying GPR-FGRA hybrid algorithm for prediction and optimization of eco-friendly magnetorheological finishing Ti–6Al–4V alloy
To produce the mirror finish of the Ti–6Al–4V alloy workpieces, a newly developed polishing tool based on magnetic field assistance. This work has developed an environmentally friendly model of magnetic finishing with a carrier fluid natural origin combined with carbonyl and abrasive iron particles;...
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| Published in | International journal on interactive design and manufacturing Vol. 17; no. 2; pp. 729 - 745 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Paris
Springer Paris
01.04.2023
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1955-2513 1955-2505 |
| DOI | 10.1007/s12008-022-00995-x |
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| Abstract | To produce the mirror finish of the Ti–6Al–4V alloy workpieces, a newly developed polishing tool based on magnetic field assistance. This work has developed an environmentally friendly model of magnetic finishing with a carrier fluid natural origin combined with carbonyl and abrasive iron particles; and a new GPR-FGRA hybrid algorithm to predict, optimize and identify critical factors affecting material removal rate and surface quality. The best surface quality with the optimization method increased by 37.5% (Ra = 0.025 μm) when choosing the optimized cutting parameter with the GPR-FGRA hybrid algorithm compared with the Taguchi experimental analysis (Ra = 0.040 μm). The analysis results by the GPR-FGRA algorithm show that the prediction surface quality accuracy was more significant than 99.63%, and the working distances (K) had the most remarkable influence on the polishing effect, while the result of workpiece speed was the least important. This study provides excellent reference values for predicting, optimizing and identifying the main factors affecting surface quality and material removal rate in a polishing model for complex, expensive materials from low-cost and environmentally friendly materials. |
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| AbstractList | To produce the mirror finish of the Ti–6Al–4V alloy workpieces, a newly developed polishing tool based on magnetic field assistance. This work has developed an environmentally friendly model of magnetic finishing with a carrier fluid natural origin combined with carbonyl and abrasive iron particles; and a new GPR-FGRA hybrid algorithm to predict, optimize and identify critical factors affecting material removal rate and surface quality. The best surface quality with the optimization method increased by 37.5% (Ra = 0.025 μm) when choosing the optimized cutting parameter with the GPR-FGRA hybrid algorithm compared with the Taguchi experimental analysis (Ra = 0.040 μm). The analysis results by the GPR-FGRA algorithm show that the prediction surface quality accuracy was more significant than 99.63%, and the working distances (K) had the most remarkable influence on the polishing effect, while the result of workpiece speed was the least important. This study provides excellent reference values for predicting, optimizing and identifying the main factors affecting surface quality and material removal rate in a polishing model for complex, expensive materials from low-cost and environmentally friendly materials. To produce the mirror finish of the Ti–6Al–4V alloy workpieces, a newly developed polishing tool based on magnetic field assistance. This work has developed an environmentally friendly model of magnetic finishing with a carrier fluid natural origin combined with carbonyl and abrasive iron particles; and a new GPR-FGRA hybrid algorithm to predict, optimize and identify critical factors affecting material removal rate and surface quality. The best surface quality with the optimization method increased by 37.5% (Ra = 0.025 μm) when choosing the optimized cutting parameter with the GPR-FGRA hybrid algorithm compared with the Taguchi experimental analysis (Ra = 0.040 μm). The analysis results by the GPR-FGRA algorithm show that the prediction surface quality accuracy was more significant than 99.63%, and the working distances (K) had the most remarkable influence on the polishing effect, while the result of workpiece speed was the least important. This study provides excellent reference values for predicting, optimizing and identifying the main factors affecting surface quality and material removal rate in a polishing model for complex, expensive materials from low-cost and environmentally friendly materials. |
| Author | Duy, Trinh Nguyen Tien, Dung Hoang Thoa, Pham Thi Thieu |
| Author_xml | – sequence: 1 givenname: Dung Hoang surname: Tien fullname: Tien, Dung Hoang organization: Faculty of Mechanical Engineering, Hanoi University of Industry – sequence: 2 givenname: Trinh Nguyen surname: Duy fullname: Duy, Trinh Nguyen email: nguyenduytrinh@haui.edu.vn organization: Faculty of Mechanical Engineering, Hanoi University of Industry – sequence: 3 givenname: Pham Thi Thieu surname: Thoa fullname: Thoa, Pham Thi Thieu organization: Faculty of Mechanical Engineering, Hanoi University of Industry |
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| Copyright | The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. – notice: The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Keywords | Ti–6Al–4V alloy Polishing GPR-FGRA Surface roughness Magnetorheological finishing Eco-friendly |
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| SubjectTerms | Algorithms Alloys CAE) and Design Carbonyls Computer-Aided Engineering (CAD Electronics and Microelectronics Engineering Engineering Design Finishing Fluids Industrial Design Instrumentation Magnetic fields Material removal rate (machining) Mechanical Engineering Optimization Original Paper Oxidation Polishing Rheology Surface properties Titanium base alloys Topography Values Viscosity Workpieces |
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| Title | Applying GPR-FGRA hybrid algorithm for prediction and optimization of eco-friendly magnetorheological finishing Ti–6Al–4V alloy |
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