Scholarlink

Surface integrity is an important indicator that affects the meshing performance of face gears. How to achieve pre control of surface integrity is a hot research topic today. Based on the structural characteristics of the high load-bearing tooth surface of the face gear and the method of grinding the face gear with a large disc grinding wheel, this article establishes an analysis model for the grinding roughness of the face gear tooth surface. Furthermore, the mathematical model of the grinding force of the face gear is studied. According to the theory of triangular heat sources, a mathematical model of the grinding heat of the face gear is established. The stress and strain process of the tooth surface during the generative grinding process of the face gear is studied, and a mathematical model for calculating the stress and strain of the grinding tooth surface of the face gear is established. By designing a series of parameters to obtain a dataset of residual stress on the tooth surface, a response surface model driven by basic data was established. The Particle Swarm Optimization (PSO) was achieved with the optimization objectives of grinding wheel swing speed and single grinding depth, which improved grinding efficiency while ensuring surface grinding quality.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Surface Quality Prediction and Process Parameter Optimization of Face Gear Grinding Based on Disc Grinding Wheel

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Wang Yanzhong,
  • Huang Yizhan,
  • Nie Shuoshuo,
  • Gao Shibo,
  • Chen Guangju,
  • Liu Peng,
  • Chu Xiaomeng,
  • Chen Yanyan

摘要

Surface integrity is an important indicator that affects the meshing performance of face gears. How to achieve pre control of surface integrity is a hot research topic today. Based on the structural characteristics of the high load-bearing tooth surface of the face gear and the method of grinding the face gear with a large disc grinding wheel, this article establishes an analysis model for the grinding roughness of the face gear tooth surface. Furthermore, the mathematical model of the grinding force of the face gear is studied. According to the theory of triangular heat sources, a mathematical model of the grinding heat of the face gear is established. The stress and strain process of the tooth surface during the generative grinding process of the face gear is studied, and a mathematical model for calculating the stress and strain of the grinding tooth surface of the face gear is established. By designing a series of parameters to obtain a dataset of residual stress on the tooth surface, a response surface model driven by basic data was established. The Particle Swarm Optimization (PSO) was achieved with the optimization objectives of grinding wheel swing speed and single grinding depth, which improved grinding efficiency while ensuring surface grinding quality.