Introducing a new rock abrasivity index using a scaled down disc cutter

磨损(机械) 重复性 岩土工程 灵敏度(控制系统) 地质学 工程类 机械工程 数学 统计 电子工程
作者
Mohammad Hassan Moradi,Mohammad Hossein Khosravi,Jafar Khademi Hamidi
标识
DOI:10.1016/j.rockmb.2024.100130
摘要

Rock abrasivity influences wear of cutting tools and consequently, performance of mechanized tunneling machines. Several methods have been proposed to evaluate rock abrasivity in recent decades, each one has its own advantages. In this paper, a new method is introduced to estimate wear of disc cutters based on rock cutting tests using scaled down discs (i.e. 54 and 72 ​mm diameter). The discs are made of H13 steel, which is a common steel type in producing real-scale discs, with hardness of 32 and 54 HRC. The small-scale linear rock cutting machine and a new abrasion test apparatus, namely University of Tehran abrasivity test machine, are utilized to perform the tests. Tip width of the worn discs is monitored and presented as the function of the accumulated test run to classify the rock abrasion. Abrasivity tests show that by increasing the uniaxial compressive strength (UCS) of the rock samples, wear rate is doubled gradually that reveals the sensitivity of the test procedure to the main parameters affecting the abrasivity of hard rocks. For the rocks with the highest UCS, the normal wear stops after performing 5 to 10 rounds of the tests, and then, deformation of the disc tip is detectable. Two abrasivity indices are defined based on the abrasivity tests results and their correlations with Cerchar Abrasivity Index (CAI) and UCS are established. Comparison of the established correlations in this study with previous investigations demonstrates the sensitivity of the indices to the parameters affecting wear of the disc cutters and repeatability of the outputs obtained from abrasivity tests using scaled down discs. Findings of this study can be used to enhance the accuracy of rock abrasivity classifications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
搞怪书包的应助被老孟采纳,获得50
1秒前
2秒前
2秒前
Jasper的应助被王焕玉采纳,获得10
2秒前
2秒前
狂野世立发布了新的文献求助10
2秒前
4秒前
4秒前
乐乐的应助被yulong采纳,获得10
6秒前
执笔绘朝暮完成签到,获得积分10
6秒前
小鱼完成签到,获得积分10
7秒前
wanci的应助被刘禹涵采纳,获得10
9秒前
chenyp发布了新的文献求助10
10秒前
11秒前
11秒前
11秒前
11秒前
hanjian完成签到,获得积分10
12秒前
上上发布了新的文献求助20
12秒前
大会完成签到,获得积分20
13秒前
13秒前
13秒前
14秒前
14秒前
14秒前
难过云朵完成签到 ,获得积分10
14秒前
互化化发布了新的文献求助10
14秒前
顺鑫发布了新的文献求助10
15秒前
孙晓婷完成签到,获得积分10
15秒前
15秒前
王焕玉发布了新的文献求助10
16秒前
希格斯玻色子完成签到,获得积分10
16秒前
wangxiaozhi2012完成签到 ,获得积分10
17秒前
17秒前
17秒前
问玉发布了新的文献求助10
18秒前
无花果的应助被大海采纳,获得10
19秒前
Ye_F完成签到,获得积分10
19秒前
狂野世立完成签到,获得积分10
19秒前
藤藤菜发布了新的文献求助10
19秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811028
求助须知:如何正确求助?哪些是违规求助? 9342673
关于积分的说明 20514022
捐赠科研通 7403860
什么是DOI,文献DOI怎么找? 3329614
关于科研通互助平台的介绍 2476392
邀请新用户注册赠送积分活动 2348504