Direct numerical simulation of the thermal dehydration reaction in a TGA experiment

传质 热力学 工作(物理) 机械 传热 成核 材料科学 浮力 脱水 化学 物理 生物化学
作者
Shuiquan Lan,M. Gaeini,H.A. Zondag,Anton van Steenhoven,C.C.M. Rindt
出处
期刊:Applied Thermal Engineering [Elsevier BV]
卷期号:128: 1175-1185 被引量:8
标识
DOI:10.1016/j.applthermaleng.2017.08.073
摘要

This work presents a detailed mathematical model of the coupled mass and heat transfer processes in salt hydrate grains in a TGA experiment. The purpose of developing this numerical model is to get a more fundamental understanding of the influence of parameters like particle size, nucleation rate and vapor pressure on the dehydration reaction in a TGA experiment. Such a model needs a detailed description of the fluid flow and water vapor distribution between the particles. The dehydration reaction of grains of TCMs is described by the nucleation and nuclei growth model presented in our earlier work. The flow around grains is solved by means of the finite volume method using OpenFOAM including heat and mass transfer. Direct numerical simulations of TGA-experiments under various conditions are performed. Such simulations provide direct insight into the physics of mass and heat transport processes coupled with detailed reaction kinetics at grain scale. The numerical results are compared to the experimental results. The developed CFD model can be a promising tool to calculate the overall kinetics for dehydration reactions under realistic heat storage conditions. To that end, the effect of buoyancy should also be included in the model to get a more accurate description of convection within the sample.

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
JamesPei应助无心的雨雪采纳,获得10
1秒前
1秒前
banfen发布了新的文献求助10
1秒前
大喵发布了新的文献求助10
1秒前
Criminology34应助米甜甜采纳,获得10
2秒前
Akim应助full采纳,获得20
2秒前
CipherSage应助zjcbk985采纳,获得10
2秒前
3秒前
111111111发布了新的文献求助10
5秒前
fan发布了新的文献求助10
5秒前
王东发布了新的文献求助10
5秒前
谦让馒头发布了新的文献求助10
6秒前
7秒前
Criminology34应助hongxuezhi采纳,获得10
7秒前
7秒前
dxj发布了新的文献求助10
7秒前
7秒前
不刻苦的刻苦完成签到 ,获得积分10
8秒前
zzz_yue完成签到 ,获得积分10
8秒前
斯文败类应助完美的翼采纳,获得10
9秒前
zzy发布了新的文献求助30
9秒前
Ava应助星星不起床采纳,获得10
9秒前
LYH应助大喵采纳,获得10
10秒前
10秒前
12秒前
啦啦啦完成签到,获得积分20
14秒前
Criminology34应助米甜甜采纳,获得10
14秒前
14秒前
16秒前
像个间谍发布了新的文献求助10
16秒前
科研通AI6.4应助谦让馒头采纳,获得10
16秒前
18秒前
20秒前
21秒前
21秒前
zjcbk985发布了新的文献求助10
25秒前
25秒前
长风完成签到,获得积分10
25秒前
cdercder应助王东采纳,获得10
28秒前
大喵完成签到,获得积分10
29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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7036379
求助须知:如何正确求助?哪些是违规求助? 8704321
关于积分的说明 18440187
捐赠科研通 6542104
什么是DOI,文献DOI怎么找? 3114855
关于科研通互助平台的介绍 2195757
邀请新用户注册赠送积分活动 2090068