Multiscale modeling of liquid jet breakup in crossflow using an Eulerian/Lagrangian approach

分手 流体体积法 机械 物理 拉格朗日粒子跟踪 喷射(流体) 燃烧室 空气动力学 欧拉路径 粒子(生态学) 拉格朗日 计算流体力学 经典力学 燃烧 化学 海洋学 地质学 有机化学 数学物理
作者
Ping Zhang,Wei Li,Teng Zhang,Yingwen Yan,Jinghua Li,Hao Tang
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (12) 被引量:2
标识
DOI:10.1063/5.0177032
摘要

Liquid atomization is a very complex issue, involving multiple length and time scales over several orders of magnitude. To better understand the atomization characteristics of the main injection in a lean premix prevaporize (LPP) combustor, a volume of fluid (VOF)–particle conversion algorithm Lagrangian particle tracking (LPT) coupled approach was proposed to simultaneously reproduce the primary and secondary breakup processes. A VOF model with an adaptive mesh refinement strategy was used to resolve the liquid disintegration on a large scale. The small liquid structures qualified as droplets were transformed into discrete particles based on particle conversion criteria. Next, these particles were tracked using the LPT method to simulate the secondary breakup process. The proposed coupled method used in the Eulerian/Lagrangian framework was validated against liquid jet in crossflow experimental data. The numerical results achieved good agreement with the experimental data. Finally, the proposed method was used to predict the atomization characteristics of the main injection in an LPP combustor under various aerodynamic conditions. Qualitative and quantitative information about liquid deformation and spray characteristics were obtained, which varied depending on the aerodynamic parameters.

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
yunchaozhang发布了新的文献求助10
刚刚
小鱼鱼完成签到,获得积分20
1秒前
1秒前
黄良凤完成签到,获得积分10
1秒前
2秒前
gg完成签到,获得积分10
3秒前
babylow完成签到,获得积分10
3秒前
开朗草丛发布了新的文献求助10
3秒前
YPHCC发布了新的文献求助10
4秒前
4秒前
4秒前
EV发布了新的文献求助10
5秒前
熠熠生辉完成签到,获得积分20
5秒前
5秒前
SciGPT应助Tartaglia采纳,获得30
6秒前
闪闪的盼海完成签到 ,获得积分20
6秒前
小狼狗很凶完成签到,获得积分10
7秒前
8秒前
鸭鸭乐园完成签到,获得积分10
8秒前
科研通AI6.1应助汉堡采纳,获得10
8秒前
QiuQiu发布了新的文献求助10
8秒前
孙Tuan完成签到,获得积分10
9秒前
9秒前
mo_发布了新的文献求助10
11秒前
11秒前
浮游应助小狼狗很凶采纳,获得10
12秒前
47完成签到,获得积分20
13秒前
yunchaozhang发布了新的文献求助10
13秒前
14秒前
Moxley完成签到,获得积分10
14秒前
牛牛完成签到,获得积分10
15秒前
15秒前
浮游应助盖了帽了采纳,获得10
15秒前
zxcvbnm完成签到,获得积分10
15秒前
搜集达人应助单薄冰安采纳,获得10
16秒前
开朗草丛完成签到,获得积分10
16秒前
17秒前
yunchaozhang完成签到,获得积分10
17秒前
18秒前
19秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6700887
求助须知:如何正确求助?哪些是违规求助? 8442623
关于积分的说明 18035432
捐赠科研通 5936071
什么是DOI,文献DOI怎么找? 2988835
邀请新用户注册赠送积分活动 1964618
关于科研通互助平台的介绍 1908154