Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method
In this work, the hot precision forging process was proposed to manufacture the synchronizer ring made of HMn64–8–5–1.5 alloy, and the forming process parameters were optimized. The true stress-strain data of HMn64–8–5–1.5 alloy were obtained through the isothermal compression test. Then, the finite...
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Format: | Article |
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IOP Publishing
2022-01-01
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Series: | Materials Research Express |
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Online Access: | https://doi.org/10.1088/2053-1591/ac64eb |
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author | Yanyan Jia Hemeng Peng Huajun Cao Li Li Jiping Yang |
author_facet | Yanyan Jia Hemeng Peng Huajun Cao Li Li Jiping Yang |
author_sort | Yanyan Jia |
collection | DOAJ |
description | In this work, the hot precision forging process was proposed to manufacture the synchronizer ring made of HMn64–8–5–1.5 alloy, and the forming process parameters were optimized. The true stress-strain data of HMn64–8–5–1.5 alloy were obtained through the isothermal compression test. Then, the finite element model of the hot precision forging process of the synchronizer ring was built, and two schemes of the forming process were analyzed and compared. To solve the problems during the hot precision forging process of synchronizer ring, i.e. forging defects, low material utilization and large forming load, a multi-objective optimization method based on grey relational analysis (GRA) and response surface method (RSM) were introduced to optimize the process parameters. As a result, a set of optimal process parameters was determined through the model calculating. Numerical simulation and experiment were carried out to verify the optimal scheme, which was set up based on the obtained optimal process parameters. The results of experimental and numerical simulation have good consistency. The results show that the optimal scheme can ensure product quality, enhance material utilization and reduce forming load. |
first_indexed | 2024-03-12T15:38:46Z |
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institution | Directory Open Access Journal |
issn | 2053-1591 |
language | English |
last_indexed | 2024-03-12T15:38:46Z |
publishDate | 2022-01-01 |
publisher | IOP Publishing |
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series | Materials Research Express |
spelling | doaj.art-eb17b9641ac945e5bccb3ce41111186e2023-08-09T16:05:22ZengIOP PublishingMaterials Research Express2053-15912022-01-019404651710.1088/2053-1591/ac64ebParameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface methodYanyan Jia0https://orcid.org/0000-0002-6691-7597Hemeng Peng1Huajun Cao2Li Li3Jiping Yang4College of Mechanical Engineering, Chongqing University , Chongqing, 400044, People’s Republic of China; Chongqing Ceprei Industrial Technology Research Institute Co., Ltd, Chongqing, 401332, People’s Republic of China; Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University , Chongqing, 400067, People’s Republic of ChinaChongqing Ceprei Industrial Technology Research Institute Co., Ltd, Chongqing, 401332, People’s Republic of ChinaCollege of Mechanical Engineering, Chongqing University , Chongqing, 400044, People’s Republic of ChinaChongqing Ceprei Industrial Technology Research Institute Co., Ltd, Chongqing, 401332, People’s Republic of ChinaChongqing Ceprei Industrial Technology Research Institute Co., Ltd, Chongqing, 401332, People’s Republic of ChinaIn this work, the hot precision forging process was proposed to manufacture the synchronizer ring made of HMn64–8–5–1.5 alloy, and the forming process parameters were optimized. The true stress-strain data of HMn64–8–5–1.5 alloy were obtained through the isothermal compression test. Then, the finite element model of the hot precision forging process of the synchronizer ring was built, and two schemes of the forming process were analyzed and compared. To solve the problems during the hot precision forging process of synchronizer ring, i.e. forging defects, low material utilization and large forming load, a multi-objective optimization method based on grey relational analysis (GRA) and response surface method (RSM) were introduced to optimize the process parameters. As a result, a set of optimal process parameters was determined through the model calculating. Numerical simulation and experiment were carried out to verify the optimal scheme, which was set up based on the obtained optimal process parameters. The results of experimental and numerical simulation have good consistency. The results show that the optimal scheme can ensure product quality, enhance material utilization and reduce forming load.https://doi.org/10.1088/2053-1591/ac64ebSynchronizer ringhot precision forginggrey relational analysisresponse surface methodparameter optimization |
spellingShingle | Yanyan Jia Hemeng Peng Huajun Cao Li Li Jiping Yang Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method Materials Research Express Synchronizer ring hot precision forging grey relational analysis response surface method parameter optimization |
title | Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
title_full | Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
title_fullStr | Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
title_full_unstemmed | Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
title_short | Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
title_sort | parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method |
topic | Synchronizer ring hot precision forging grey relational analysis response surface method parameter optimization |
url | https://doi.org/10.1088/2053-1591/ac64eb |
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