Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material
This paper presents a multiobjective optimization study of cutting parameters in turning operation for a heat-treated alloy steel material (J-Steel) with Vickers hardness in the range of HV 365–395 using uncoated, unlubricated Tungsten-Carbide tools. The primary aim is to identify proper settings of...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/6429160 |
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| author | Adel T. Abbas Karim Hamza Mohamed F. Aly Essam A. Al-Bahkali |
| author_facet | Adel T. Abbas Karim Hamza Mohamed F. Aly Essam A. Al-Bahkali |
| author_sort | Adel T. Abbas |
| collection | DOAJ |
| description | This paper presents a multiobjective optimization study of cutting parameters in turning operation for a heat-treated alloy steel material (J-Steel) with Vickers hardness in the range of HV 365–395 using uncoated, unlubricated Tungsten-Carbide tools. The primary aim is to identify proper settings of the cutting parameters (cutting speed, feed rate, and depth of cut) that lead to reasonable compromises between good surface quality and high material removal rate. Thorough exploration of the range of cutting parameters was conducted via a five-level full-factorial experimental matrix of samples and the Pareto trade-off frontier is identified. The trade-off among the objectives was observed to have a “knee” shape, in which certain settings for the cutting parameters can achieve both good surface quality and high material removal rate within certain limits. However, improving one of the objectives beyond these limits can only happen at the expense of a large compromise in the other objective. An alternative approach for identifying the trade-off frontier was also tested via multiobjective implementation of the Efficient Global Optimization (m-EGO) algorithm. The m-EGO algorithm was successful in identifying two points within the good range of the trade-off frontier with 36% fewer experimental samples. |
| format | Article |
| id | doaj-art-06cdf04ba0164343bf1a3a9a3fa99a4d |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-06cdf04ba0164343bf1a3a9a3fa99a4d2025-02-03T06:07:44ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/64291606429160Multiobjective Optimization of Turning Cutting Parameters for J-Steel MaterialAdel T. Abbas0Karim Hamza1Mohamed F. Aly2Essam A. Al-Bahkali3Department of Mechanical Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48105, USADepartment of Mechanical Design, American University in Cairo, New Cairo, Cairo 11835, EgyptDepartment of Mechanical Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaThis paper presents a multiobjective optimization study of cutting parameters in turning operation for a heat-treated alloy steel material (J-Steel) with Vickers hardness in the range of HV 365–395 using uncoated, unlubricated Tungsten-Carbide tools. The primary aim is to identify proper settings of the cutting parameters (cutting speed, feed rate, and depth of cut) that lead to reasonable compromises between good surface quality and high material removal rate. Thorough exploration of the range of cutting parameters was conducted via a five-level full-factorial experimental matrix of samples and the Pareto trade-off frontier is identified. The trade-off among the objectives was observed to have a “knee” shape, in which certain settings for the cutting parameters can achieve both good surface quality and high material removal rate within certain limits. However, improving one of the objectives beyond these limits can only happen at the expense of a large compromise in the other objective. An alternative approach for identifying the trade-off frontier was also tested via multiobjective implementation of the Efficient Global Optimization (m-EGO) algorithm. The m-EGO algorithm was successful in identifying two points within the good range of the trade-off frontier with 36% fewer experimental samples.http://dx.doi.org/10.1155/2016/6429160 |
| spellingShingle | Adel T. Abbas Karim Hamza Mohamed F. Aly Essam A. Al-Bahkali Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material Advances in Materials Science and Engineering |
| title | Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material |
| title_full | Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material |
| title_fullStr | Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material |
| title_full_unstemmed | Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material |
| title_short | Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material |
| title_sort | multiobjective optimization of turning cutting parameters for j steel material |
| url | http://dx.doi.org/10.1155/2016/6429160 |
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