已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Numerical study of laser-induced cavitation bubble with consideration of chemical reactions

空化 气泡 化学反应 声化学 激光器 材料科学 机械 化学 物理 光学 有机化学
作者
Chengyan Wang,Hong Zhi Yan,Ruifan Zhang,Fuzhen Chen,Fan Liu
出处
期刊:Ultrasonics Sonochemistry [Elsevier]
卷期号:109: 107007-107007 被引量:1
标识
DOI:10.1016/j.ultsonch.2024.107007
摘要

Cavitation generated during injector jetting can significantly affect fuel atomization. Laser-induced cavitation bubble is an important phenomenon in laser induced plasma ignition technology. Limited by the difficulties in experimental measurements, numerical simulations have become an important tool in the study of laser-induced cavitation bubble, but most previous numerical models used to study the dynamics of laser-induced cavitation bubble usually ignore the effect of chemical reactions. In this study, the finite volume method is used to solve the compressible two-dimensional reynolds averaged Navier–Stokes equation by considering the heat and mass transfer as well as the chemical reactions within the cavitation bubble. The effects of overall reaction and elementary reactions on the cavitation bubble are evaluated, respectively. It is found that by additionally considering chemical reactions within the numerical model, lower maximum temperatures and higher maximum pressures are predicted within the bubble. And the generated non-condensable gases produced by the chemical reactions enhance the subsequent expansion process of the cavitation bubble. Besides, the effect of the one-sided wall boundary condition on cavitation bubble is compared with the infinite boundary condition. Influenced by the wall boundary, the cavitation bubble forms a localized high pressure on the side of the bubble away from the wall during the collapse process, which causes the bubble to be compressed into a "crescent" shape. The maximum pressure and temperature inside the bubble are lower due to localized losses caused by the wall.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Criminology34应助one采纳,获得10
刚刚
bkagyin应助duanying采纳,获得10
1秒前
Lucas应助xiezhenghong采纳,获得10
1秒前
1秒前
江南达尔贝完成签到 ,获得积分10
2秒前
秀丽手机发布了新的文献求助10
2秒前
共享精神应助冷静妙竹采纳,获得10
3秒前
悲凉的夜绿完成签到,获得积分10
4秒前
科研通AI6应助大气的人雄采纳,获得30
6秒前
6秒前
rose完成签到 ,获得积分10
7秒前
8秒前
赘婿应助JX采纳,获得50
8秒前
9秒前
搜集达人应助CH采纳,获得10
9秒前
Criminology34应助舒适的傲柔采纳,获得10
9秒前
李秉烛完成签到 ,获得积分10
11秒前
西江之水完成签到,获得积分10
11秒前
rose关注了科研通微信公众号
11秒前
12秒前
萝卜发布了新的文献求助10
12秒前
mmmaosheng完成签到,获得积分10
13秒前
大会哥发布了新的文献求助10
13秒前
14秒前
请叫我潇洒哥完成签到,获得积分10
16秒前
万能图书馆应助yziy采纳,获得10
16秒前
16秒前
18秒前
麻瓜发布了新的文献求助10
18秒前
19秒前
xuan完成签到 ,获得积分10
20秒前
22秒前
隐形曼青应助youseme采纳,获得10
24秒前
24秒前
Lauren发布了新的文献求助10
25秒前
25秒前
28秒前
chen完成签到,获得积分20
28秒前
吴子涵发布了新的文献求助30
28秒前
水松完成签到 ,获得积分10
28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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5355792
求助须知:如何正确求助?哪些是违规求助? 4487641
关于积分的说明 13970761
捐赠科研通 4388399
什么是DOI,文献DOI怎么找? 2411058
邀请新用户注册赠送积分活动 1403632
关于科研通互助平台的介绍 1377189