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Abrasivity database of different genetic rocks based on CERCHAR Abrasivity Test.
Gao, Kuidong; Wang, Xinyu; Wei, Hongxin; Wang, Shuxue; Xu, Weipeng; Li, Xu; Sun, Liqing; Jiang, Hongxiang.
Afiliación
  • Gao K; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Wang X; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Wei H; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Wang S; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Xu W; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Li X; China Coal Technology & Engineering Group Shanghai Co., Ltd., Shanghai, 201400, China.
  • Sun L; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
  • Jiang H; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China. sunlqsdust@163.com.
Sci Data ; 11(1): 630, 2024 Jun 14.
Article en En | MEDLINE | ID: mdl-38876992
ABSTRACT
Rock abrasivity is one of the main factors affecting the wear of rock-cutting tools, which is usually quantified by the CERCHAR Abrasivity Index (CAI). Researchers and engineers study tool wear and predict tool life based on the CAI of rocks. However, there is still a lack of a dataset on rock properties, especially the abrasivity of various rocks. This paper reports the abrasive dataset of 10 kinds of rocks, including sedimentary rocks, metamorphic rocks, and igneous rocks, with the aid of the CERCHAR Abrasivity Test and digital measurement techniques. The dataset comprises rock abrasivity data, point cloud data for visualization, scratch photos, CERCHAR Abrasivity Test force data, and mechanical properties (uniaxial compressive strength) of rock samples. This dataset facilitates future research on rock abrasivity and rock-cutting tool wear.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China