Prediction of Cutting Temperature and Optimization of Process Parameters in Gear Skiving

Wen Zijin; Chen Yongpeng

doi:10.16578/j.issn.1004.2539.2024.04.004

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Prediction of Cutting Temperature and Optimization of Process Parameters in Gear Skiving

Theory·Research | 更新时间：2024-04-19

- Prediction of Cutting Temperature and Optimization of Process Parameters in Gear Skiving
- Journal of Mechanical Transmission Vol. 48, Issue 4, Pages: 26-32(2024)
- 作者机构：
  
  重庆交通大学机电与车辆工程学院，重庆 400074
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2024.04.004
  CLC：
- Published：15 April 2024，
  
  Received：30 January 2023，
扫描看全文
温子进,陈永鹏.车齿工艺切削温度预测与工艺参数优化[J].机械传动,2024,48(04):26-32.

Wen Zijin,Chen Yongpeng.Prediction of Cutting Temperature and Optimization of Process Parameters in Gear Skiving[J].Journal of Mechanical Transmission,2024,48(04):26-32.
温子进,陈永鹏.车齿工艺切削温度预测与工艺参数优化[J].机械传动,2024,48(04):26-32. DOI： 10.16578/j.issn.1004.2539.2024.04.004.

Wen Zijin,Chen Yongpeng.Prediction of Cutting Temperature and Optimization of Process Parameters in Gear Skiving[J].Journal of Mechanical Transmission,2024,48(04):26-32. DOI： 10.16578/j.issn.1004.2539.2024.04.004.

摘要

车齿工艺具有加工效率高、适用齿轮类型广等优点，近年来受到越来越多的关注。车齿加工切削温度预测与工艺参数优化对提高刀具寿命、改善加工质量、降低残余应力等具有重要意义。首先，根据车齿工艺运动学原理，构建了车齿刀具和齿轮工件的实体模型，基于Deform有限元仿真获得单刀齿切削过程的前刀面温度云图；其次，针对切削速度、进给量和刀具与工件轴交角等工艺参数对前刀面最高温度的影响，采用响应曲面法建立了多元参数作用下的切削温度预测模型；最后，提出了以切削温度约束下加工效率最高为目标的工艺参数优化方法，并结合3组工艺参数优化实例，对比了最优参数下切削温度的预测值和仿真结果之间的误差，验证了所提出预测优化模型的有效性。结果表明，单参数下，轴交角对切削温度影响最大；多元参数下，切削速度-轴交角对切削温度影响最大；并且，优化后的预测值与仿真结果误差在合理范围内。研究结果为提高车齿工艺加工质量与刀具寿命等提供了方法支撑。

Abstract

Gear skiving has been paid more and more attention for high efficiency and wide application in gear manufacturing. In gear skiving

prediction of cutting temperature and optimization of process parameters have an important influence on increasing tool life

improving machining quality and decreasing residual stress. In this study

firstly

according to the kinematic theory of gear skiving

the entity models of the skiving tool and the workpiece are established

and then the cutting temperature nephograms on the rake face of single tooth during the cutting process are obtained based on Deform software. Secondly

aiming at the influences of the cutting velocity

feed rate and shaft angle on the maximum cutting temperature on the rake face

the prediction model of the cutting temperature under multiple parameters is established by response surface methodology. Finally

a method of process parameter optimization is proposed to maximize the machining efficiency with the constraint of cutting temperature. Combined with three groups of optimization examples

the validity of the cutting temperature prediction model is verified by comparing the error between the predicted values and simulation results under the optimized parameters. The results show that the shaft angle has the greatest effect on the cutting temperature under single parameter

the cutting velocity-shaft angle has the greatest effect on the cutting temperature under multiple parameters

and the optimized predicted values are within a reasonable error range from the simulation results. The results of this study provide methodological support for improving the machining quality and tool life in gear skiving.

关键词

车齿切削温度工艺参数有限元仿真参数优化

Keywords

Gear skivingCutting temperatureProcess parametersFinite element simulationParameter optimization

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