基于蜗杆砂轮磨削工艺参数优化的新能源汽车减速器齿轮齿面波纹度控制研究

Study on control of gear tooth surface waviness in new energy vehicle reducers based on optimization of gear grinding parameters with worm grinding wheel

  • 摘要: 齿轮齿面波纹度是导致新能源汽车减速器齿轮传动系统啸叫噪声产生的关键激励之一。针对蜗杆砂轮连续展成磨削工艺,对加工齿面波纹度控制进行了研究。首先,通过裂区试验设计,得到显著影响齿面波纹度的因素为砂轮修整速度、磨削余量以及磨削轴向进给速度。其次,根据试验结果分析了磨齿工艺参数对齿面波纹度各特征的不同影响规律。然后,建立了关键工艺参数与齿面波纹度的线性模型,并求解得到最佳的工艺参数组合。最后,由加工样件的测量结果验证了所建立关系模型的合理有效性。最终通过工艺参数优化后,齿轮齿面波纹度总体幅值降低了37.4%,为面向齿面波纹度控制的蜗杆砂轮磨齿工艺优化提供技术思路及实践经验。

     

    Abstract: Tooth surface waviness of gears is a key excitation source of whining noise in the gear transmission system of new energy vehicle reducers. The control of machined tooth surface waviness was investigated based on the continuous generating grinding process with a worm grinding wheel. Firstly, through a split-plot experimental design, the factors found to significantly affect tooth surface waviness were wheel dressing speed, grinding allowance, and axial grinding feed rate. Secondly, the different effects of grinding process parameters on various characteristics of tooth surface waviness were analyzed based on the experimental results. Thirdly,a linear model was established to describe the relationship between the key process parameters and tooth surface waviness, and the optimal combination of process parameters was obtained. The measurement results of the machined specimens further verified the rationality and effectiveness of the established model. Finally, after process parameter optimization, the overall amplitude of gear tooth surface waviness was reduced by 37.4%, providing a technical basis and practical guidance for optimizing the worm wheel grinding process toward tooth surface waviness control.

     

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