欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
磨削硬化深度预测
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

贵州省科学技术基金项目(黔科合J字LKS[2013]36号);贵州省普通高等学校精密复合加工装备技术工程中心(黔教合KY字[2014]223);贵州师范大学博士科研项目(11904 -05032130023)


Prediction of Grind -hardening Depth
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    磨削硬化是利用磨削过程中产生的热、机械复合作用直接对工件进行表面淬火的新工艺。通过建立磨削温度三维分析模型和热金属效应分析,实现磨削硬化加工工件硬度的预测。基于瞬时温度分布和运动非稳定三维热传导微分方程,并考虑砂轮与工件及冷却液与工件交互作用时热传导情况和材料本身的热扩散,建立了磨削温度三维分析预测模型,结合对加工过程奥氏体相位比例的计算及珍珠岩、残余奥氏体和马氏体的转变等热冶金效应分析,得出磨削硬化加工后硬化深度,实现随加工参数变化的硬化深度分布预测。将此模型与有限元模型进行对比,并通过实验进行了验证。

    Abstract:

    The grind-hardening process uses the heat generated within the grinding zone in order to produce surface hardening of the workpiece combined with mechanical compound function. A three dimensional (3D) analytical model to predict grinding temperature is given, the thermo -metallurgical effects are analysed and the hardness of workpiece after grinding hardening is predicted. Based on the transient temperature distribution and the differential equation of nonsteady -state three -dimensional (3D) heat conduction, where the interdependence among the grinding wheel, the workpiece and the coolant were described, also the thermal diffusivity in material was considered. A 3D analytical model to predict grinding temperature was given. Combining the calculation for the proportion of the austenite phase and the analysis for thermo -metallurgical effects in transition of perlite in engineering process, residue austenite and martensite, the hardening depth of workpiece machined was predicted. The predication was realized for distribution of hardening depth along with changing of machining parameters. All these of the model are well coincided with the finite element model (FEM) and the experimental measurement results.

    参考文献
    相似文献
    引证文献
引用本文

吕长飞,吴小玉,郑继明.磨削硬化深度预测[J].机床与液压,2017,45(19):74-79.
. Prediction of Grind -hardening Depth[J]. Machine Tool & Hydraulics,2017,45(19):74-79

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2018-03-21
  • 出版日期: