Investigation effect of copper particle size and jaw geometric configurations on jaw crusher wear

破碎机 材料科学 粒径 冶金 复合材料 粒子(生态学) 几何形状 粒度分布 工程制图 粒度 尺寸 金相学 粉碎 变形(气象学)
作者
Leandro Coloma,Rodrigo Sucasaca,Jorge Luis Apaza,Yuri Silva Vidal Lester,Angel Joel Mendoza Quispe,Christofer Alex Diaz Arapa
出处
期刊:Advances in Science and Technology Research Journal [Society of Polish Mechanical Engineers and Technicians]
卷期号:20 (3): 181-196
标识
DOI:10.12913/22998624/213959
摘要

The growing demand for efficiency in industrial crushing processes has highlighted the need to understand the particle behaviour in jaw crushers in order to minimise wear and maximise productivity.In response, analysing the influence of particle size and jaw geometry can play a crucial role in reducing operating costs and increasing equipment life.This study explored the relationship between different material sizes as well as the geometric configurations of movable and fixed jaws in the wear of jaw crushers.A comparative analysis was performed using simulation to evaluate wear through a discrete element method-multibody dynamics-particle replacement method (DEM-MBD-PRM) coupling with the Tavares fracture model and the Archard wear model.Prior to simulation, the material and contact parameters were calibrated in EDEM software to ensure reliable representation of copper-steel interactions.This analysis process led to a better understanding of tribological behaviour.The configurations with smaller particle sizes, in the range of 80 to 100 mm, reduced wear by up to 50% compared with larger particles, in the range of 100 to 120 mm, with distinct wear patterns observed between sharp and standard profiles.Additionally, simulation showed that jaws with sharp profiles typically had longer service lives, suggesting that the configurations with standard profiles and large particle sizes are the most susceptible to wear.The findings of this study demonstrate that optimising feed particle size and jaw geometry can reduce wear on crusher components by up to 50%, directly contributing to more efficient crushing operations, extended equipment lifetime, and lower maintenance costs.Although the study was uniquely based on computational modelling without an experimental verification, the results provide a solid framework for the guidance of future physical testing and design improvements.
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
博思好行完成签到,获得积分10
2秒前
1725665189完成签到 ,获得积分10
2秒前
4秒前
TPolymer完成签到,获得积分10
4秒前
8秒前
9秒前
米鼓完成签到 ,获得积分10
10秒前
10秒前
wangyue1230完成签到,获得积分10
14秒前
周_完成签到 ,获得积分10
15秒前
DLT完成签到,获得积分10
15秒前
shizhiheng完成签到 ,获得积分10
16秒前
研友_85yrY8发布了新的文献求助10
17秒前
标致的丝完成签到 ,获得积分10
19秒前
大白完成签到,获得积分10
20秒前
Jack80应助鲁班大神采纳,获得30
21秒前
沐雨完成签到,获得积分10
21秒前
小蘑菇应助波波波波波6764采纳,获得10
29秒前
30秒前
王道远完成签到,获得积分10
31秒前
34秒前
知性的新之完成签到,获得积分10
35秒前
老刘Diamond发布了新的文献求助10
37秒前
自由飞翔完成签到,获得积分10
37秒前
辰12完成签到 ,获得积分10
38秒前
43秒前
波波波波波6764完成签到,获得积分10
43秒前
47秒前
47秒前
科研通AI6.2应助鲁班大神采纳,获得10
48秒前
Akim应助老刘Diamond采纳,获得10
48秒前
独孤磕盐完成签到,获得积分10
49秒前
Hello应助超帅的黄采纳,获得10
54秒前
56秒前
58秒前
feng1235完成签到,获得积分10
1分钟前
cssc完成签到,获得积分10
1分钟前
1分钟前
929发布了新的文献求助10
1分钟前
麦丰完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7619825
求助须知:如何正确求助?哪些是违规求助? 9195255
关于积分的说明 19706753
捐赠科研通 7191401
什么是DOI,文献DOI怎么找? 3272433
关于科研通互助平台的介绍 2435079
邀请新用户注册赠送积分活动 2267654