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基于 CERCHAR 磨蚀性试验的不同遗传岩石的磨蚀性数据库。

Abrasivity database of different genetic rocks based on CERCHAR Abrasivity Test.

机构信息

College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

China Coal Technology & Engineering Group Shanghai Co., Ltd., Shanghai, 201400, China.

出版信息

Sci Data. 2024 Jun 14;11(1):630. doi: 10.1038/s41597-024-03470-2.

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.

摘要

岩石研磨性是影响岩石切削工具磨损的主要因素之一,通常用 CERCHAR 研磨性指数(CAI)来量化。研究人员和工程师根据岩石的 CAI 研究工具磨损并预测工具寿命。然而,岩石特性,特别是各种岩石的研磨性数据集仍然缺乏。本文借助 CERCHAR 研磨性测试和数字测量技术,报告了 10 种岩石(包括沉积岩、变质岩和火成岩)的研磨性数据集。该数据集包括岩石研磨性数据、用于可视化的点云数据、划痕照片、CERCHAR 研磨性测试力数据以及岩石样品的力学性能(单轴抗压强度)。该数据集有助于未来研究岩石研磨性和岩石切削工具磨损。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830d/11178864/5913b2c561c1/41597_2024_3470_Fig1_HTML.jpg

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