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RETRACTED ARTICLE: A novel approach to simulate surface topography based on motion trajectories and feature theories of abrasive grains

  • Hui-Qun Chen
  • Qing-Hui WangEmail author
ORIGINAL ARTICLE

Abstract

The method of combining simulations with experiments is used in this paper. Both traditional grinding and point grinding are considered as the research objects. The motion paths of grains in the point grinding process will completely differ from those in the traditional grinding process because of the non-zero inclination angle α. Thus, a coordinate transformation between the grinding wheel and the workpiece is performed. Then, a brand-new formation mechanism for a 3D workpiece surface is established by combining selected trajectories to simulate the formation of the surface. The interference trajectories are effectively screened by iterating over the cutting paths of all grains on the grinding wheel surface to improve the prediction accuracy for the machined surface. Both the surface features of the grinding wheel and the elastic-plastic deformation of the workpiece material are investigated and analyzed for the first time in this paper; they are considered in the motion trajectories of the abrasive grains to make the simulated grinding surface topography closer to that formed in the actual grinding process. The trend of the influence of the variable angle α on the surface roughness is obtained and analyzed. The comparison and analysis of the simulation and experimental results prove that the simulated surface quality of the grinding workpiece is consistent with that measured in a 3D microtopography analysis, and the curve shapes in the cross-section and surface roughness evaluations are also consistent. The surface quality of a grinding workpiece can be effectively predicted using this simulation method.

Keywords

Point grinding Surface topography Abrasive grain Material deformation 

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Notes

Funding information

This work was partially supported by the National Natural Science Foundation of China [grant number 51775192], the Science & Technology Research Program of Guangdong, China [grant number 2015A030313590, 2015B090922010], and the Program for Scientific and Technological Innovation in Shenzhen, China [grant number JCYJ20160415113818087].

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Copyright information

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

Authors and Affiliations

  1. 1.School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.School of Mechanical and Electrical EngineeringShenzhen Institute of Information TechnologyShenzhenChina

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