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Abrasivity database of different genetic rocks based on CERCHAR Abrasivity Test
Kuidong Gao1, Xinyu Wang1, Hongxin Wei1
1College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Scientific Data
|June 14, 2024
Summary
This study presents a new dataset on rock abrasivity, crucial for understanding rock-cutting tool wear. The data aids researchers in predicting tool life more accurately using the CERCHAR Abrasivity Index.
Area of Science:
- Geotechnical Engineering
- Materials Science
- Tribology
Background:
- Rock abrasivity significantly impacts rock-cutting tool wear.
- The CERCHAR Abrasivity Index (CAI) is standard for quantifying rock abrasivity.
- A comprehensive dataset on rock properties, particularly abrasivity, is lacking.
Purpose of the Study:
- To compile a detailed dataset of rock abrasivity for various rock types.
- To support research on rock-cutting tool wear and performance prediction.
- To provide a foundation for developing more accurate wear models.
Main Methods:
- Utilized the CERCHAR Abrasivity Test to measure rock abrasivity.
- Employed digital measurement techniques for data acquisition.
- Included diverse rock types: sedimentary, metamorphic, and igneous.
Main Results:
- Compiled a dataset encompassing abrasivity, mechanical properties (UCS), and visual data (scratches, point clouds).
- Included force data from the CERCHAR Abrasivity Test.
- Dataset covers 10 distinct rock types.
Conclusions:
- The generated dataset addresses a critical gap in rock mechanics research.
- Facilitates enhanced studies into rock abrasivity and its effect on tool wear.
- Enables more precise prediction of rock-cutting tool lifespan.
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