Research progress of surface topography detection on grinding wheel

LIU Wei; SHANG Yuanyuan; DENG Chaohui; LIU Rentong

doi:10.13394/j.cnki.jgszz.2017.6.0013

Volume 37 Issue 6

Dec. 2017

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Article Navigation > Diamond & Abrasives Engineering > 2017 > 37(6): 70-78,86

LIU Wei, SHANG Yuanyuan, DENG Chaohui, LIU Rentong. Research progress of surface topography detection on grinding wheel[J]. Diamond & Abrasives Engineering, 2017, 37(6): 70-78,86. doi: 10.13394/j.cnki.jgszz.2017.6.0013

Citation:

LIU Wei, SHANG Yuanyuan, DENG Chaohui, LIU Rentong. Research progress of surface topography detection on grinding wheel[J]. Diamond & Abrasives Engineering, 2017, 37(6): 70-78,86. doi: 10.13394/j.cnki.jgszz.2017.6.0013

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Research progress of surface topography detection on grinding wheel

doi: 10.13394/j.cnki.jgszz.2017.6.0013

1. Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-cut Material, Intelligent Manufacturing Institute, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China;
2. College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China

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Rev Recd Date: 2017-10-12

Available Online: 2022-07-27

Abstract

Abstract

The grinding performance mainly depends on the surface topography characteristics of grinding wheel.The accurate detection of grinding wheel surface topography will not only help to further understand the grinding mechanism, but also be an indispensable prerequisite for grinding wheel surface modeling and grinding simulation.Therefore, typical surface topography detection methods for grinding wheel are summarized and the basic principles of these methods are briefly described, as well as their advantages and disadvantages analyzed.The current situation of surface topography detection methods for grinding wheel at home and abroad is analyzed.In the end, the existing problems are pointed out, and the development prospect is prospected.
- direct detection,
- indirect detection,
- contact,
- optical detection