Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy
Nonisothermal forging is an efficient plastic forming method for titanium alloys, but at the same time, it can produce large and uneven residual stress, which seriously affects the service life of components. In order to quantitatively analyze the influence of forging process parameters on the resid...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/3105470 |
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| _version_ | 1832561536865927168 |
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| author | Xiurong Fang Liu Liu Jia Lu Yang Gao |
| author_facet | Xiurong Fang Liu Liu Jia Lu Yang Gao |
| author_sort | Xiurong Fang |
| collection | DOAJ |
| description | Nonisothermal forging is an efficient plastic forming method for titanium alloys, but at the same time, it can produce large and uneven residual stress, which seriously affects the service life of components. In order to quantitatively analyze the influence of forging process parameters on the residual stress of Ti-6Al-4V alloy forgings, a numerical model was first established and optimized in combination with experiments. Then, the effects of deformation temperature, deformation degree, and deformation speed on the residual stress of forgings were analyzed by orthogonal test, and the optimal combination of forging process parameters was obtained. Finally, the multiple regression analysis was employed to propose multivariate regression models for the prediction of the average equivalent residual stress. Results show that the prediction model can be used for predicting the residual stress of Ti-6Al-4V alloy forgings with a higher reliability. |
| format | Article |
| id | doaj-art-efe65bc818d64c5482d12affd9b0f76d |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-efe65bc818d64c5482d12affd9b0f76d2025-02-03T01:24:50ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/31054703105470Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V AlloyXiurong Fang0Liu Liu1Jia Lu2Yang Gao3School of Mechanical Engineering, Xi’an University of Science and Technology, Xi'an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi'an 710054, ChinaWuhan Huazhong Numerical Control Co.,Ltd., Wuhan 430223, ChinaCRRC Qishuyan Institute Co.,Ltd., Changzhou 213011, ChinaNonisothermal forging is an efficient plastic forming method for titanium alloys, but at the same time, it can produce large and uneven residual stress, which seriously affects the service life of components. In order to quantitatively analyze the influence of forging process parameters on the residual stress of Ti-6Al-4V alloy forgings, a numerical model was first established and optimized in combination with experiments. Then, the effects of deformation temperature, deformation degree, and deformation speed on the residual stress of forgings were analyzed by orthogonal test, and the optimal combination of forging process parameters was obtained. Finally, the multiple regression analysis was employed to propose multivariate regression models for the prediction of the average equivalent residual stress. Results show that the prediction model can be used for predicting the residual stress of Ti-6Al-4V alloy forgings with a higher reliability.http://dx.doi.org/10.1155/2021/3105470 |
| spellingShingle | Xiurong Fang Liu Liu Jia Lu Yang Gao Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy Advances in Materials Science and Engineering |
| title | Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy |
| title_full | Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy |
| title_fullStr | Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy |
| title_full_unstemmed | Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy |
| title_short | Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy |
| title_sort | optimization of forging process parameters and prediction model of residual stress of ti 6al 4v alloy |
| url | http://dx.doi.org/10.1155/2021/3105470 |
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