不同基因岩石的磨性数据库基于CERCHAR磨性测试
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
概括
这项研究提出了关于岩石磨蚀性的新数据集,这对于理解切割工具磨损至关重要. 这些数据有助于研究人员更准确地使用CERCHAR磨损度指数预测工具寿命.
科学领域:
- 地质技术工程 地质技术工程
- 材料科学 材料科学 材料科学
- 部落学 (tribology) 是一个学科.
背景情况:
- 岩石磨蚀性显著影响岩石切割工具的磨损.
- 赛尔查磨度指数 (CAI) 是衡量岩石磨度的标准.
- 缺乏关于岩石特性,特别是磨性的全面数据集.
研究的目的:
- 编制各种岩石类型的岩石磨蚀性详细数据集.
- 支持关于岩石切割工具磨损和性能预测的研究.
- 为开发更准确的磨损模型提供基础.
主要方法:
- 使用CERCHAR磨蚀性测试来测量岩石的磨蚀性.
- 采用数字测量技术来获取数据.
- 包括各种各样的岩石类型:沉积,变态和火性岩石.
主要成果:
- 编制了一个数据集,包括磨性,机械性能 (UCS) 和视觉数据 (划痕,点云).
- 包括来自CERCHAR磨蚀性测试的力数据.
- 数据集涵盖了10种不同的岩石类型.
结论:
- 生成的数据集解决了岩石力学研究中的一个关键差距.
- 促进了对岩石磨蚀性及其对工具磨损的影响的研究.
- 能够更精确地预测石材切割工具的使用寿命.
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