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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Main Authors: Yanyan Jia, Hemeng Peng, Huajun Cao, Li Li, Jiping Yang
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Materials Research Express
Subjects:
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.
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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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AT huajuncao parameteroptimizationinhotprecisionforgingprocessofsynchronizerringbasedongreyrelationalanalysisandresponsesurfacemethod
AT lili parameteroptimizationinhotprecisionforgingprocessofsynchronizerringbasedongreyrelationalanalysisandresponsesurfacemethod
AT jipingyang parameteroptimizationinhotprecisionforgingprocessofsynchronizerringbasedongreyrelationalanalysisandresponsesurfacemethod