The effect of surface roughness on the viscoelastic energy dissipation in a particle–wall collision

消散 机械 碰撞 表面光洁度 粘弹性 表面粗糙度 恢复系数 碰撞频率 材料科学 工作(物理) 分段线性函数 无量纲量 粒子(生态学) 放松(心理学) 几何学 物理 复合材料 数学 热力学 地质学 离子 社会心理学 心理学 海洋学 计算机安全 量子力学 计算机科学
作者
Yating Wang,Yiyang Zhang,Zhu Fang,Xinxin Wu
出处
期刊:Journal of Aerosol Science [Elsevier BV]
卷期号:175: 106280-106280 被引量:3
标识
DOI:10.1016/j.jaerosci.2023.106280
摘要

The particle collision on a wall with roughness is common in nature and industries, but not well understood yet. The presence of surface roughness greatly increases the complexity of local contact and makes it difficult to predict the energy dissipation by analytical models. In this work, we investigate the energy dissipation in a dynamic particle–wall collision with regular hemisphere roughness. The finite element method (FEM) with the standard linear solid model is used to solve the problem of non-ideal geometry, and extract the law of energy dissipation due to viscoelasticity. The results show that with the existence of surface roughness, the total viscoelastic dissipation is lower than that for a smooth surface, showing a higher restitution coefficient compared to the smooth surface. Based on the maximum number of asperities that particle contacts, the dynamic collisions can be categorized as the single-contact mode and multiple-contact mode. The variation of the total energy dissipation shows opposite trends with the roughness height in the two different modes. The collision time is recognized as the key to predict the total energy dissipation. Based on FEM simulation results, a piecewise correlation is established to estimate the Hertzian collision time with regular roughness. Finally, a correlation is proposed for the total energy dissipation in a viscoelastic particle–wall collision with regular roughness, which only takes the dimensionless relaxation time as the parameter. Covering different roughness heights, particle sizes, densities, relaxation times, and Young’s modulus, all the data are well correlated with the predicted curve.

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
花灯王子发布了新的文献求助10
1秒前
1秒前
Allen完成签到,获得积分20
1秒前
2秒前
S1mon完成签到,获得积分10
2秒前
hyl发布了新的文献求助10
2秒前
2秒前
wyk发布了新的文献求助10
2秒前
lll发布了新的文献求助10
2秒前
wenxianqiuzhu发布了新的文献求助10
2秒前
喜东东完成签到,获得积分10
2秒前
3秒前
3秒前
3秒前
李子发布了新的文献求助10
4秒前
可爱的函函应助mm采纳,获得10
4秒前
4秒前
5秒前
栗子完成签到,获得积分10
5秒前
喜东东发布了新的文献求助50
6秒前
7秒前
wanci应助谭沁瑶采纳,获得20
8秒前
豆豆豆豆发布了新的文献求助10
9秒前
大个应助认真的海之采纳,获得10
9秒前
不再挨训发布了新的文献求助10
9秒前
10秒前
133发布了新的文献求助10
10秒前
卫傀斗完成签到,获得积分10
10秒前
暮商零七发布了新的文献求助10
10秒前
Lucas应助谢冬采纳,获得10
11秒前
hyl完成签到,获得积分10
11秒前
NexusExplorer应助nn采纳,获得10
11秒前
123123发布了新的文献求助10
11秒前
11秒前
12秒前
凉柚lalala完成签到,获得积分10
12秒前
13秒前
Zaiye完成签到,获得积分10
13秒前
jason发布了新的文献求助10
13秒前
英姑应助喵喵采纳,获得10
14秒前
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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6423995
求助须知:如何正确求助?哪些是违规求助? 8242197
关于积分的说明 17522216
捐赠科研通 5478217
什么是DOI,文献DOI怎么找? 2893609
邀请新用户注册赠送积分活动 1869805
关于科研通互助平台的介绍 1707636