Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling
In order to predict the peak value of residual compressive stress and the depth of residual compressive stress layer on the surface of hot rolling gear profiles, the machining process of face gears during hot rolling is simulated by DEFORM-3D finite element simulation software, and the peak value of...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2022-11-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841547055755952128 |
|---|---|
| author | Jin Yuanyuan Xu Hongyu Li Li Zhang Fengshou Wang Xiaoqiang Zhang Guang |
| author_facet | Jin Yuanyuan Xu Hongyu Li Li Zhang Fengshou Wang Xiaoqiang Zhang Guang |
| author_sort | Jin Yuanyuan |
| collection | DOAJ |
| description | In order to predict the peak value of residual compressive stress and the depth of residual compressive stress layer on the surface of hot rolling gear profiles, the machining process of face gears during hot rolling is simulated by DEFORM-3D finite element simulation software, and the peak value of residual compressive stress and the depth of residual compressive stress layer on the surface of gear profile under different combinations of process parameters are obtained. Taking the simulation results as data samples, the response surface method is used to establish the prediction model of residual compressive stress and compressive stress layer depth on the surface of hot rolling gear profiles, and the optimal process combination is obtained by taking the maximum peak value of residual compressive stress and the minimum depth of residual compressive stress layer as the optimization objective. Taking the optimal process combination as the actual processing parameters, the measured value of residual stress on the surface of tooth profile is compared with the predicted value. It is found that the measured value is less than the predicted value, and the maximum error is no more than 17%. The results show that the prediction model can measure and control the surface residual stress of hot rolling gears. |
| format | Article |
| id | doaj-art-bcb6af02104a4f0b9c47b6704060a3e3 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2022-11-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-bcb6af02104a4f0b9c47b6704060a3e32025-01-10T14:56:34ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-11-0146889432292642Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot RollingJin YuanyuanXu HongyuLi LiZhang FengshouWang XiaoqiangZhang GuangIn order to predict the peak value of residual compressive stress and the depth of residual compressive stress layer on the surface of hot rolling gear profiles, the machining process of face gears during hot rolling is simulated by DEFORM-3D finite element simulation software, and the peak value of residual compressive stress and the depth of residual compressive stress layer on the surface of gear profile under different combinations of process parameters are obtained. Taking the simulation results as data samples, the response surface method is used to establish the prediction model of residual compressive stress and compressive stress layer depth on the surface of hot rolling gear profiles, and the optimal process combination is obtained by taking the maximum peak value of residual compressive stress and the minimum depth of residual compressive stress layer as the optimization objective. Taking the optimal process combination as the actual processing parameters, the measured value of residual stress on the surface of tooth profile is compared with the predicted value. It is found that the measured value is less than the predicted value, and the maximum error is no more than 17%. The results show that the prediction model can measure and control the surface residual stress of hot rolling gears.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.014Face gearHot rollingResidual stressResponse surface |
| spellingShingle | Jin Yuanyuan Xu Hongyu Li Li Zhang Fengshou Wang Xiaoqiang Zhang Guang Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling Jixie chuandong Face gear Hot rolling Residual stress Response surface |
| title | Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling |
| title_full | Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling |
| title_fullStr | Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling |
| title_full_unstemmed | Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling |
| title_short | Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling |
| title_sort | establishment of a prediction model for the residual stress on the surface layer of face gears during hot rolling |
| topic | Face gear Hot rolling Residual stress Response surface |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.014 |
| work_keys_str_mv | AT jinyuanyuan establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling AT xuhongyu establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling AT lili establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling AT zhangfengshou establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling AT wangxiaoqiang establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling AT zhangguang establishmentofapredictionmodelfortheresidualstressonthesurfacelayeroffacegearsduringhotrolling |