Digital Modelling of Sintered Diamond Wheel Topography with Random Grain Distribution for Protrusion State Evaluation in Grinding

49 Pages Posted: 21 May 2025

See all articles by Quanpeng He

Quanpeng He

Southern University of Science and Technology

Zehong Zhuang

affiliation not provided to SSRN

Hao Yang

South China University of Technology

Ping Li

Guangzhou University

Yuhan Wang

Southern University of Science and Technology

Jin Xie

South China University of Technology

Yingying Guo

Guangzhou University

Hui Deng

Southern University of Science and Technology

Abstract

Grinding process is a complex grain-workpiece interaction. Due to the on-site measurement limitations, empirical knowledge is generally utilized for condition planning regardless of irregular grain protrusion, leading to unstable grinding quality. Accordingly, a novel digital modelling of sintered diamond wheel topography with random grain distribution factors of spatial position, rotation angle and geometrical shape was proposed to evaluate the grain protrusion. Grain interference recognition and multiple concentration matching were also developed to improve simulative precision and speed. The objective is to realize the condition planning with statistical mechanism rather than empirical knowledge. First, grain shedding coefficient was tuned to simulate the resin- and metal-bond based wheel topographies. Then, the influence on grain protrusion uncertainty was investigated at different equivalent grain sizes and grain concentrations. Finally, tool cutting performance was experimentally analyzed with the simulative wheel topographies under shedding and frictional wear conditions. It is shown that the simulative wheel topographies present the skewed distribution of grain top height after grain exclusion, conforming to the actual surfaces with high fitness. Small wheel topographical deviation is achieved at small equivalent grain size and large grain concentration, wherein the influence of spatial position is more significant. The resin-bond based wheel tool under shedding condition increases the active grain number but decreases the equivalent grain top height to produce the multiple-stage increase of ground surface roughness, against the bathtub-like change for the metal-bond one under frictional wear condition. Hence, the condition planning could be guided by the digital model associating with grain protrusion.

Keywords: Grinding, Diamond grain, Wheel topography, Digitization, Grain protrusion

Suggested Citation

He, Quanpeng and Zhuang, Zehong and Yang, Hao and Li, Ping and Wang, Yuhan and Xie, Jin and Guo, Yingying and Deng, Hui, Digital Modelling of Sintered Diamond Wheel Topography with Random Grain Distribution for Protrusion State Evaluation in Grinding. Available at SSRN: https://ssrn.com/abstract=5263721 or http://dx.doi.org/10.2139/ssrn.5263721

Quanpeng He

Southern University of Science and Technology ( email )

No 1088, xueyuan Rd.
Xili, Nanshan District
Shenzhen, 518055
China

Zehong Zhuang

affiliation not provided to SSRN ( email )

Hao Yang

South China University of Technology ( email )

Wushan
Guangzhou, AR 510640
China

Ping Li

Guangzhou University ( email )

Guangzhou Higher Education Mega Center
Waihuanxi Road 230
Guangzhou, 510006
China

Yuhan Wang

Southern University of Science and Technology ( email )

No 1088, xueyuan Rd.
Xili, Nanshan District
Shenzhen, 518055
China

Jin Xie

South China University of Technology ( email )

Yingying Guo (Contact Author)

Guangzhou University ( email )

Guangzhou Higher Education Mega Center
Waihuanxi Road 230
Guangzhou, 510006
China

Hui Deng

Southern University of Science and Technology ( email )

No 1088, xueyuan Rd.
Xili, Nanshan District
Shenzhen, 518055
China

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