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Study on the surface topography in consideration of the dynamic grinding hardening process

  • Shichao XiuEmail author
  • Cong Sun
  • Jinchao Duan
  • Dongxue Lan
  • Qingliang Li
ORIGINAL ARTICLE
  • 88 Downloads

Abstract

The workpiece’s surface topography is always a key factor to measure the quality of the workpiece’s finish. However, most previous studies on modeling of the workpiece’s surface topography neglect the dynamic hardening effect, which derives from the workpiece’s material microstructure transformation. In this paper, a new coupling model is established to investigate the influence of dynamic hardening effect on the workpiece’s surface topography. Coupled with the analytical and the numerical method, the dynamic grinding force is obtained firstly. Then, the dynamic grinding force is utilized to calculate the dynamic temperature in finite difference method (FDM). Afterwards, the model of the dynamic hardness is established according to the corresponding temperature distribution. Furthermore, coupled with the calculated dynamic hardness, the wheel’s and the workpiece’s surface topography is set up on the basis of the grits’ Gaussian distribution and the grits’ movement trajectory respectively. Finally, the proposed model is further validated by the experiments in different grinding depths. From the comparison, it can be found that the grinding hardening effect should be taken into consideration in analyzing the workpiece’s surface topography. Moreover, the surface roughness of the workpiece can be reduced by decreasing the larger grinding depth, which can result in a stronger hardening effect.

Keywords

Surface topography Grinding hardening Temperature distribution Dynamic hardness grinding depth 

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Notes

Funding information

This project is supported by the National Natural Science Foundation of China (Grant No. 51775101) and the Technology Project of Shenyang City (Grant No. F16-205-1-02).

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Shichao Xiu
    • 1
    Email author
  • Cong Sun
    • 1
  • Jinchao Duan
    • 1
  • Dongxue Lan
    • 1
  • Qingliang Li
    • 1
  1. 1.School of Mechanical Engineering and AutomationNortheastern UniversityShenyangChina

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