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内啮合强力珩齿工件齿面珩削纹理预测与控制方法研究
引用本文:韩江,李振富,田晓青,费宁忠,夏链.内啮合强力珩齿工件齿面珩削纹理预测与控制方法研究[J].中国机械工程,2023,34(1):10-16.
作者姓名:韩江  李振富  田晓青  费宁忠  夏链
作者单位:1.合肥工业大学机械工程学院,合肥,230009 2.安徽省智能数控技术及装备工程实验室,合肥,230009 3.上海纳铁福传动系统有限公司,上海,201315
基金项目:国家重点研发计划(2020YFE0201000);国家自然科学基金(52075142, 51875161)
摘    要:以内啮合强力珩齿工艺为对象,研究工件齿面珩削纹理的形成机制,并对珩削纹理进行预测,提出一种珩削纹理的主动控制方法。建立工件齿面接触线模型,模拟珩齿加工过程;研究珩磨轮修整工艺原理,得到珩削速度与加工纹理的映射关系。由于珩削速度受制于工件齿轮与珩磨轮的中心距和轴交角等参数,提出以轴交角和中心距为控制对象,对珩削工件齿面纹理的分布情况及纹理变化趋势进行控制的方法;采用不同工艺参数进行齿轮加工,并对齿面进行三维形貌检测。被加工齿轮齿面检测结果与预测模型高度吻合,表明采用该方法可以实现对珩齿加工纹理的控制。

关 键 词:内啮合强力珩齿  珩削速度  珩磨轮修整  工艺参数  纹理控制

Research on Prediction and Control Method of Workpiece Tooth Flank Texture during Internal Gear Power Honing
HAN Jiang,LI Zhenfu,TIAN Xiaoqing,FEI Ningzhong,XIA Lian.Research on Prediction and Control Method of Workpiece Tooth Flank Texture during Internal Gear Power Honing[J].China Mechanical Engineering,2023,34(1):10-16.
Authors:HAN Jiang  LI Zhenfu  TIAN Xiaoqing  FEI Ningzhong  XIA Lian
Affiliation:1.School of Mechanical Engineering,Hefei University of Technology,Hefei,230009 2.Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment,Hefei,230009 3.Shanghai GKN HUAYU Driveline Systems Co.,Ltd.,Shanghai,201315
Abstract:Taking the internal gear power honing process as the object, the formation mechanism of the honing texture of the workpiece tooth flanks was studied, the honing texture was predicted, and an active control method of the honing texture was proposed. Firstly, a tooth flank contact line model of the workpieces was established to simulate the honing process. Secondly, the principle of the honing wheel dressing process was studied, and the mapping relationship between the honing speed and the machining texture was obtained. Since the honing speed was controlled by the parameters such as center distance and the cross-axis angle of the workpiece gear and the honing wheel, a control method for the distribution and change trend of the tooth flank texture of the workpieces was proposed, taking the cross-axis angle and the center distance as the control objects. Finally, the gears were machined with different processing parameters, and the three-dimensional morphology of the tooth flanks were detected. The measured results of the machined tooth flanks are highly consistent with that from the prediction models, which show the method herein may realize the texture control of gear honing. 
Keywords:internal gear power honing  honing speed  honing wheel dressing  processing parameter  texture control  
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