Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling

Jin Yuanyuan; Xu Hongyu; Li Li; Zhang Fengshou; Wang Xiaoqiang; Zhang Guang

doi:10.16578/j.issn.1004.2539.2022.11.014

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Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling

Test·Analysis | 更新时间：2022-12-01

- Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling
- Journal of Mechanical Transmission Vol. 46, Issue 11, Pages: 88-94(2022)
- 作者机构：
  
  1.河南科技大学机电工程学院，河南洛阳 471000
  2.中国石油集团川庆钻探工程有限公司长庆钻井总公司，陕西西安 610100
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.11.014
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靳园园,徐红玉,李莉等.热滚轧面齿轮表层残余应力预测模型建立[J].机械传动,2022,46(11):88-94.

Jin Yuanyuan,Xu Hongyu,Li Li,et al.Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling[J].Journal of Mechanical Transmission,2022,46(11):88-94.
靳园园,徐红玉,李莉等.热滚轧面齿轮表层残余应力预测模型建立[J].机械传动,2022,46(11):88-94. DOI： 10.16578/j.issn.1004.2539.2022.11.014.

Jin Yuanyuan,Xu Hongyu,Li Li,et al.Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling[J].Journal of Mechanical Transmission,2022,46(11):88-94. DOI： 10.16578/j.issn.1004.2539.2022.11.014.

摘要

为了预测热滚轧面齿轮齿廓表层残余压应力峰值大小和残余压应力层深度，利用DEFORM-3D有限元仿真软件对热滚轧面齿轮加工过程进行仿真，获得不同工艺参数组合下齿廓表层残余压应力峰值大小和残余压应力层深度。以仿真结果为数据样本，采用响应曲面法建立热滚轧面齿轮齿廓表层残余压应力和压应力层深度的预测模型，并以残余压应力峰值最大、残余压应力层深度最小为优化目标，得到最优工艺组合。以最优工艺组合为实际加工参数，对齿廓表层残余应力实测值与预测值进行对比分析可知，实测值小于预测值，最大误差不超过17%。表明所建立的预测模型可以实现对热滚轧面齿轮表层残余应力的测控。

Abstract

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.

关键词

面齿轮热滚轧残余应力响应曲面

Keywords

Face gearHot rollingResidual stressResponse surface

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