China Mechanical Engineering ›› 2024, Vol. 35 ›› Issue (12): 2239-2250.DOI: 10.3969/j.issn.1004-132X.2024.12.017

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Temperature Field Prediction Method for Face Gear Generating Grinding with Discrete Grains as Computational Units

MA Xiaofan1,2;CAI Zhiqin1;YAO Bin1;CHEN Guanfeng3   

  1. 1.School of Aerospace Engineering,Xiamen University,Xiamen,Fujian,361102
    2.School of Aerospace Engineering,North University of China,Taiyuan,030051
    3.School of Mechanical and Electrical Engineering,Xiamen University Tan Kah Kee College,
    Zhangzhou,Fujian,363105

  • Online:2024-12-25 Published:2025-01-17

以离散磨粒为计算单元的面齿轮展成磨削温度场预测方法

马晓帆1,2;蔡志钦1;姚斌1;陈冠峰3   

  1. 1.厦门大学航空航天学院,厦门,361102
    2.中北大学航空宇航学院,太原,030051
    3.厦门大学嘉庚学院机电工程学院,漳州,363105
  • 作者简介:马晓帆,男,1992年生,博士、讲师。研究方向为传动部件加工表面完整性预测及控制。E-mail:xmumaxiaofan@163.com。
  • 基金资助:
    国家自然科学基金(52475070);福建省自然科学基金(2023J01048);广东省自然科学基金(2023A1515010040);福建省中青年教师教育科研项目(JAT220510);山西省自然科学基金(202403021212141);山西省高等学校科技创新项目(2024L163)

Abstract: Predicting the temperature field of generating grinding for face gears was challenging due to two factors. One was the complex relative motions and contact variations between the grinding wheel and the face gear, which rendered the conventional gear grinding temperature field model ineffective. The other was that most of the existing grinding temperature studies adopted the contact zone between the grinding wheel and the workpiece as a moving banded heat source, neglecting the micro-cutting behavior of discrete abrasive grains in the grinding contact area, which led to low accuracy of the grinding temperature field computation. To address these issues, a material removal model of face gear was established, the expression of material removal parameters was derived, and a novel grinding temperature prediction method was proposed that took the discrete abrasive grains as the computational unit and integrated the heat flux modeling with the grinding force model of different grinding phases(sliding, ploughing and cutting). The grinding temperature measurement experiments of face gears demonstrate that the prediction errors of this method range from -6.94% to 9.29%. It is also observed that the temperature field exhibits distinct features of discreteness, local confinement and non-linear variation, and the mechanism of these features was discussed.

Key words: face gear, generating grinding, discrete grain, temperature prediction, temperature field feature

摘要: 面齿轮磨削温度场预测中存在两个难题:一是砂轮与面齿轮之间存在复杂的相对运动和接触变化,导致传统的齿轮磨削温度场模型失效;二是以往的磨削温度研究中,大多将砂轮工件接触区域整体作为一个移动带状热源,忽略了磨削接触区域中离散磨粒的微观切削行为,导致磨削温度场的计算精度不高。为解决上述问题,建立了面齿轮的材料去除模型,推导了轮齿材料去除参数的表达式,以砂轮离散磨粒为计算单元,将热流密度的建模与不同磨削阶段(滑擦、犁耕和切削)的磨削力模型相统一,提出了一种磨削温度预测新方法。面齿轮的磨削温度测量实验结果证明了该方法的预测误差为-6.94%~9.29%。同时,分析发现面齿轮展成磨削温度场呈现出明显的离散性、局部封闭性和非线性变化等特征,探讨了这些特征的产生机理。

关键词: 面齿轮, 展成磨削, 离散磨粒, 温度预测, 温度场特征

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