Recent advances in hybrid Eulerian–Lagrangian description of atomization

分手 欧拉路径 过程(计算) 拉格朗日 计算机科学 计算机模拟 在制品 机械 物理 统计物理学 模拟 工程类 理论物理学 运营管理 操作系统
作者
Chao Wang,Tai Jin,Min Chai,Kun Luo,Jianren Fan
出处
期刊:Canadian Journal of Chemical Engineering [Wiley]
卷期号:100 (9): 2071-2092
标识
DOI:10.1002/cjce.24500
摘要

Abstract Atomization of liquid fuel is a crucial process to energy utilization. A thorough understanding of the physics of liquid atomization is challenging to acquire but necessary. During the past decades, numerical simulation methods for atomization with interface capturing schemes have been developed rapidly. However, several remaining issues need to be highlighted, such as the minimum size of the droplet to capture, numerical mass defects, and others. Thus, those simulations have been mostly limited to the primary breakup process and cannot capture the huge number of tiny droplets during the secondary breakup process. In recent years, a Eulerian–Lagrangian description of atomization has been introduced for the multi‐scale modelling of its whole process, in which the primary atomization process is treated in the Eulerian framework while the secondary atomization is treated in the Lagrangian framework. This hybrid method has been demonstrated to have many advantages in accuracy and efficiency. Considering its wide applications and contribution to the field, a comprehensive review is made in this work. First, an introduction to the phenomenon of atomization and the development of atomization numerical simulation in recent decades is made. Governing equations in the Eulerian and Lagrangian frameworks are then summarized. This is followed by a discussion of the hybrid combination method, the numerical framework, and its applications in atomization simulations. Last but not least, several relevant issues demanding attention are discussed as well.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
俭朴的世界完成签到 ,获得积分10
2秒前
聪明的元彤完成签到 ,获得积分10
2秒前
4秒前
北国雪未消完成签到 ,获得积分10
4秒前
YY完成签到,获得积分10
6秒前
蓝景轩辕完成签到 ,获得积分0
6秒前
hyf完成签到,获得积分10
9秒前
华仔应助SUSE_HJX采纳,获得10
9秒前
RR发布了新的文献求助30
10秒前
10秒前
hjc完成签到,获得积分10
11秒前
甜甜圈发布了新的文献求助10
14秒前
不可以懒懒完成签到,获得积分10
15秒前
NexusExplorer应助XIN采纳,获得10
16秒前
认真的画板完成签到,获得积分10
17秒前
在水一方应助科研通管家采纳,获得10
20秒前
20秒前
小二郎应助科研通管家采纳,获得20
20秒前
kmzzy完成签到 ,获得积分10
21秒前
RR完成签到,获得积分20
23秒前
24秒前
甜甜圈完成签到,获得积分10
27秒前
MaHongyang完成签到,获得积分10
29秒前
XIN发布了新的文献求助10
29秒前
xu完成签到 ,获得积分10
30秒前
32秒前
小鱼完成签到 ,获得积分10
34秒前
XIN完成签到,获得积分10
35秒前
SANDY完成签到,获得积分10
39秒前
初小花完成签到,获得积分10
40秒前
科研佟完成签到 ,获得积分10
41秒前
从容芮应助bsf123采纳,获得10
46秒前
David完成签到 ,获得积分10
48秒前
wanci应助Sun1c7采纳,获得10
49秒前
搜集达人应助森林木采纳,获得10
55秒前
潇洒莞完成签到 ,获得积分10
55秒前
闪闪岩完成签到,获得积分10
1分钟前
YORLAN完成签到 ,获得积分10
1分钟前
露露完成签到 ,获得积分10
1分钟前
Clover完成签到 ,获得积分10
1分钟前
高分求助中
LNG地下式貯槽指針(JGA指-107) 1000
LNG地上式貯槽指針 (JGA指 ; 108) 1000
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 900
QMS18Ed2 | process management. 2nd ed 600
LNG as a marine fuel—Safety and Operational Guidelines - Bunkering 560
Exploring Mitochondrial Autophagy Dysregulation in Osteosarcoma: Its Implications for Prognosis and Targeted Therapy 526
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2937339
求助须知:如何正确求助?哪些是违规求助? 2593965
关于积分的说明 6986099
捐赠科研通 2237324
什么是DOI,文献DOI怎么找? 1188188
版权声明 589991
科研通“疑难数据库(出版商)”最低求助积分说明 581651