Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis
This paper studied an effective method based on Taguchi's method with the grey relational analysis, focusing on the optimization of milling parameters on surface integrity in milling TB6 alloy. The grey relational grade that is derived from the grey relational analysis is mainly used to determi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-03-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1155/2014/280313 |
| _version_ | 1818291505979195392 |
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| author | Kaining Shi Dinghua Zhang Junxue Ren Changfeng Yao Yuan Yuan |
| author_facet | Kaining Shi Dinghua Zhang Junxue Ren Changfeng Yao Yuan Yuan |
| author_sort | Kaining Shi |
| collection | DOAJ |
| description | This paper studied an effective method based on Taguchi's method with the grey relational analysis, focusing on the optimization of milling parameters on surface integrity in milling TB6 alloy. The grey relational grade that is derived from the grey relational analysis is mainly used to determine the optimum cutting process operations with multiple performance characteristics. Specifically, surface roughness (Ra), hardness, and residual stress were important characteristics in surface integrity of milling TB6 alloy. Based on the combination of these multiple performance characteristics, the feed per tooth, cutting speed, and depth of cut were optimized in this study. Additionally, the analysis of variance (ANOVA) was also applied to determine the most significant factor for the surface integrity of milling TB6 alloy according to the contribution of the ANOVA, and the most significant factor is the cutting speed in this paper. Based on the analysis, the experimental test results have been improved prominently through the grey relational analysis. Hence this method can be an effective approach to enhance the surface integrity of milling TB6 alloy. |
| first_indexed | 2024-12-13T02:45:08Z |
| format | Article |
| id | doaj.art-24a8e13764ae4f47a959979d12057bb7 |
| institution | Directory Open Access Journal |
| issn | 1687-8132 |
| language | English |
| last_indexed | 2024-12-13T02:45:08Z |
| publishDate | 2014-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-24a8e13764ae4f47a959979d12057bb72022-12-22T00:02:11ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322014-03-01610.1155/2014/28031310.1155_2014/280313Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational AnalysisKaining Shi0Dinghua Zhang1Junxue Ren2Changfeng Yao3Yuan Yuan4 The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi 710072, China The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi 710072, China The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi 710072, China The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi 710072, China School of Government, Peking University (PKU), Beijing 100871, ChinaThis paper studied an effective method based on Taguchi's method with the grey relational analysis, focusing on the optimization of milling parameters on surface integrity in milling TB6 alloy. The grey relational grade that is derived from the grey relational analysis is mainly used to determine the optimum cutting process operations with multiple performance characteristics. Specifically, surface roughness (Ra), hardness, and residual stress were important characteristics in surface integrity of milling TB6 alloy. Based on the combination of these multiple performance characteristics, the feed per tooth, cutting speed, and depth of cut were optimized in this study. Additionally, the analysis of variance (ANOVA) was also applied to determine the most significant factor for the surface integrity of milling TB6 alloy according to the contribution of the ANOVA, and the most significant factor is the cutting speed in this paper. Based on the analysis, the experimental test results have been improved prominently through the grey relational analysis. Hence this method can be an effective approach to enhance the surface integrity of milling TB6 alloy.https://doi.org/10.1155/2014/280313 |
| spellingShingle | Kaining Shi Dinghua Zhang Junxue Ren Changfeng Yao Yuan Yuan Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis Advances in Mechanical Engineering |
| title | Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis |
| title_full | Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis |
| title_fullStr | Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis |
| title_full_unstemmed | Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis |
| title_short | Multiobjective Optimization of Surface Integrity in Milling TB6 Alloy Based on Taguchi-Grey Relational Analysis |
| title_sort | multiobjective optimization of surface integrity in milling tb6 alloy based on taguchi grey relational analysis |
| url | https://doi.org/10.1155/2014/280313 |
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