An approach for multiscale two-phase flow simulation in the direct simulation Monte Carlo framework

物理 直接模拟蒙特卡罗 蒙特卡罗方法 统计物理学 机械 两相流 传热 流量(数学) 动量转移 动态蒙特卡罗方法 数学 统计 光学 散射
作者
Yeongho Shin,Sanghun Kim,Eunji Jun
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (6) 被引量:3
标识
DOI:10.1063/5.0212766
摘要

To simulate multiscale gas flow with solid particles, Burt's model, based on the Direct Simulation Monte Carlo (DSMC) framework, is widely used to predict gas–solid interactions under the assumption of a negligibly small solid particle diameter compared to the local gas mean free path. However, Burt's model could become inaccurate when the solid particle is large relative to the local gas mean free path. This study introduces the Gas–Solid Synchronous (GSS) model, which predicts gas–solid interactions in continuum gas regions without assuming the local gas flow regime around a solid particle. Similar to Burt's model, the GSS model includes gas-to-solid and solid-to-gas interaction models to consider bidirectional interaction between two phases. The GSS gas-to-solid model is established by selecting accurate semi-empirical force and heat transfer models in comparison with DSMC simulation results. The GSS solid-to-gas model is developed based on the principles of momentum and energy conservation and validated against Burt's solid-to-gas model. The results show that Burt's model could overestimate the interphase force and heat transfer rates when its assumption on solid particle diameter does not hold, but it can reproduce non-equilibrium characteristics of two-phase flows where gas velocity distribution functions do not follow the Maxwell–Boltzmann distribution. By contrast, the GSS model can accurately predict gas–solid interaction in continuum gas flows, while it cannot capture the non-equilibrium nature of two-phase flows. The characteristics and limitations of the two models indicate that using a valid model for each gas–solid interaction could be crucial for accurate simulation of multiscale two-phase flows.
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
金子悠月完成签到,获得积分10
刚刚
1秒前
11完成签到 ,获得积分10
2秒前
白k完成签到,获得积分10
4秒前
徐梓睿发布了新的文献求助10
4秒前
当冬夜渐暖完成签到,获得积分10
5秒前
一只小羊完成签到 ,获得积分10
6秒前
害怕的鞯发布了新的文献求助10
7秒前
干净的琦应助荔枝采纳,获得10
7秒前
SHANSHAN完成签到 ,获得积分10
7秒前
zhhh完成签到,获得积分10
8秒前
贾明灵完成签到,获得积分10
9秒前
科研狗完成签到,获得积分10
10秒前
选择性哑巴完成签到,获得积分10
10秒前
11秒前
科研狗发布了新的文献求助10
14秒前
姜糊完成签到 ,获得积分10
15秒前
小杨完成签到,获得积分10
15秒前
忧虑的鹭洋完成签到,获得积分10
15秒前
PDL_完成签到,获得积分20
16秒前
Hailey完成签到,获得积分10
17秒前
18秒前
朱佳宁完成签到 ,获得积分10
18秒前
小明完成签到,获得积分0
19秒前
等风的人发布了新的文献求助10
19秒前
dizi完成签到 ,获得积分10
19秒前
20秒前
小福完成签到 ,获得积分10
21秒前
KingYugene完成签到,获得积分10
22秒前
我是老大应助actor2006采纳,获得10
24秒前
噗愣噗愣地刚发芽完成签到 ,获得积分10
24秒前
DRX发布了新的文献求助10
25秒前
25秒前
26秒前
27秒前
28秒前
28秒前
包子凯越完成签到,获得积分10
29秒前
gougoubao发布了新的文献求助10
30秒前
等风的人完成签到,获得积分10
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 6359097
求助须知:如何正确求助?哪些是违规求助? 8173163
关于积分的说明 17212541
捐赠科研通 5414120
什么是DOI,文献DOI怎么找? 2865393
邀请新用户注册赠送积分活动 1842773
关于科研通互助平台的介绍 1690901