Multi-objective optimization of turning process for hardened material based on hybrid approach
Energy and environmental issues have become pertinent to all industries in the globe because of sustainable development issues. This paper systematically investigates the turning process of the hardened material via process modeling, numerical experiments, and a hybrid algorithm. The objectives of t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2016-10-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/10/8/10_2016jamdsm0101/_pdf/-char/en |
| _version_ | 1818521681202774016 |
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| author | Hong-Seok PARK Trung-Thanh NGUYEN |
| author_facet | Hong-Seok PARK Trung-Thanh NGUYEN |
| author_sort | Hong-Seok PARK |
| collection | DOAJ |
| description | Energy and environmental issues have become pertinent to all industries in the globe because of sustainable development issues. This paper systematically investigates the turning process of the hardened material via process modeling, numerical experiments, and a hybrid algorithm. The objectives of this work are to reduce the specific cutting energy (SCE) and improve the energy efficiency (EF) based on the turning conditions optimization. The machining simulations were performed in conjunction response surface methodology (RSM) to generate the quadratic mathematical models of the specific cutting energy and energy efficiency in terms of machining parameters, including cutting speed, feed rate, nose radius, edge radius, and rake angle. An analysis of variance (ANOVA) was then adopted to examine the model adequacy and significant parameters. Subsequently, an evolutionary algorithm, namely non-dominated sorting genetic algorithm-II (NSGA-II) was used to find a much better spread of design solutions and better convergence near the true Pareto optimal front. A quantitative approach, namely entropy method was conducted to calculate the weight factors of multiple responses. In the last step, a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) was applied as to determine the best compromise solution. It was indicated that the energy efficiency was significantly improved using the optimal machining parameters and the specific cutting energy was effectively decreased in comparison with initial values. Moreover, the integrative approach performed very well in optimum performance of the machining process. Therefore, this work is expected as a contribution to improve the machining efficiency of the turning process of hardened steels. |
| first_indexed | 2024-12-11T01:54:40Z |
| format | Article |
| id | doaj.art-415130828d6b4411ad2aec739ee8ccb9 |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-12-11T01:54:40Z |
| publishDate | 2016-10-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-415130828d6b4411ad2aec739ee8ccb92022-12-22T01:24:39ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542016-10-01108JAMDSM0101JAMDSM010110.1299/jamdsm.2016jamdsm0101jamdsmMulti-objective optimization of turning process for hardened material based on hybrid approachHong-Seok PARK0Trung-Thanh NGUYEN1School of Mechanical Engineering, University of UlsanFaculty of Mechanical Engineering, Le Quy Don Technical UniversityEnergy and environmental issues have become pertinent to all industries in the globe because of sustainable development issues. This paper systematically investigates the turning process of the hardened material via process modeling, numerical experiments, and a hybrid algorithm. The objectives of this work are to reduce the specific cutting energy (SCE) and improve the energy efficiency (EF) based on the turning conditions optimization. The machining simulations were performed in conjunction response surface methodology (RSM) to generate the quadratic mathematical models of the specific cutting energy and energy efficiency in terms of machining parameters, including cutting speed, feed rate, nose radius, edge radius, and rake angle. An analysis of variance (ANOVA) was then adopted to examine the model adequacy and significant parameters. Subsequently, an evolutionary algorithm, namely non-dominated sorting genetic algorithm-II (NSGA-II) was used to find a much better spread of design solutions and better convergence near the true Pareto optimal front. A quantitative approach, namely entropy method was conducted to calculate the weight factors of multiple responses. In the last step, a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) was applied as to determine the best compromise solution. It was indicated that the energy efficiency was significantly improved using the optimal machining parameters and the specific cutting energy was effectively decreased in comparison with initial values. Moreover, the integrative approach performed very well in optimum performance of the machining process. Therefore, this work is expected as a contribution to improve the machining efficiency of the turning process of hardened steels.https://www.jstage.jst.go.jp/article/jamdsm/10/8/10_2016jamdsm0101/_pdf/-char/enfinite element methodmachining conditionsdoersmanovamulti-attribute decision-making methodspecific cutting energy |
| spellingShingle | Hong-Seok PARK Trung-Thanh NGUYEN Multi-objective optimization of turning process for hardened material based on hybrid approach Journal of Advanced Mechanical Design, Systems, and Manufacturing finite element method machining conditions doe rsm anova multi-attribute decision-making method specific cutting energy |
| title | Multi-objective optimization of turning process for hardened material based on hybrid approach |
| title_full | Multi-objective optimization of turning process for hardened material based on hybrid approach |
| title_fullStr | Multi-objective optimization of turning process for hardened material based on hybrid approach |
| title_full_unstemmed | Multi-objective optimization of turning process for hardened material based on hybrid approach |
| title_short | Multi-objective optimization of turning process for hardened material based on hybrid approach |
| title_sort | multi objective optimization of turning process for hardened material based on hybrid approach |
| topic | finite element method machining conditions doe rsm anova multi-attribute decision-making method specific cutting energy |
| url | https://www.jstage.jst.go.jp/article/jamdsm/10/8/10_2016jamdsm0101/_pdf/-char/en |
| work_keys_str_mv | AT hongseokpark multiobjectiveoptimizationofturningprocessforhardenedmaterialbasedonhybridapproach AT trungthanhnguyen multiobjectiveoptimizationofturningprocessforhardenedmaterialbasedonhybridapproach |