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基于格子玻尔兹曼-有限差分方法(LBM-FDM)的湍流传质系数模型构建与理论验证
结题报告
批准号:
21978218
项目类别:
面上项目
资助金额:
65.0 万元
负责人:
刘伯潭
依托单位:
学科分类:
传递过程
结题年份:
2023
批准年份:
2019
项目状态:
已结题
项目参与者:
刘伯潭
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中文摘要
湍流传质理论是化工领域中的难题,而湍流传质系数的确定常采用经验关联。为了解决湍流传质系数模型问题,本项目基于“涡流对传质控制在机理上一致”的观点,提出了一条解决湍流传质问题的理论路线:采用格子玻尔兹曼-有限差分介观方法(LBM-FDM)对界面对流传质过程进行模拟,结合传质双方程输运模型,通过理论分析并同时考虑速度场与浓度场物理统计量构建界面对流传质系数模型,在此基础上采用粒子图像测速仪(PIV)与激光诱导荧光(LIF)进行湍流传质过程浓度场与速度场的测量,确定模型参数并修正模型。然后将发展的传质系数模型应用于湍流传质过程,实现对动量、质量传质方程的封闭,完成湍流传质系数模型的理论验证。本项目的实施对于湍流传质过程机理揭示、计算传质学理论框架发展具有重要科学意义,可为计算传质学(CMT)在化工中的应用奠定理论基础。
英文摘要
The theory of turbulent mass transfer is a permanent difficult unsolved problem in chemical engineering for past decades, in which the turbulent mass transfer coefficient is usually determined by empirical correlation. In order to develop the turbulent mass transfer model, a theoretical route is proposed by considering the point “common mechanism of eddies controlling the mass transfer”: firstly, the interfacial convective mass transfer process is simulated by employing three-dimensional mesoscopic Lattice Boltzmann Method- Finite Difference Method (LBM-FDM). And by combining with the two-equation transport model proposed before, theoretical interfacial convective mass model based on velocity and concentration filed was established. Then Particle Image Velocimetry (PIV) and Laser Induced Fluorescence (LIF) are used to obtain the velocity and concentration filed in turbulent mass transfer experiment, which provides the information for determining the model parameters and model improvement. Finally, the mass transfer coefficient model developed in the present work is applied to turbulent mass transfer process, and the momentum and mass balance equations could be solved simultaneously. Therefore, the turbulent mass transfer coefficient model could be validated theoretically. The implementation of this project has important scientific significance on the turbulent mass transfer mechanism and computational mass transfer (CMT) framework development, which could provide theoretic foundation for CMT’s application in chemical engineering.
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DOI:https://dx.doi.org/10.1021/acs.iecr.0c05980
发表时间:2020
期刊:Industrial & Engineering Chemistry Research
影响因子:--
作者:Xiaolong Ge;Yicheng Han;Xinchuang Yang;Botan Liu;Botong Liu
通讯作者:Botong Liu
DOI:--
发表时间:2022
期刊:化学工程
影响因子:--
作者:潘雨;刘伯潭;盖晓龙
通讯作者:盖晓龙
DOI:https://doi.org/10.1016/j.compchemeng.2020.107172
发表时间:2020
期刊:Computers & Chemical Engineering
影响因子:--
作者:Xiaolong Ge;Beibei Wang;Xinchuang Yang;Yu Pan;Botan Liu;Botong Liu
通讯作者:Botong Liu
DOI:https://doi.org/10.1016/j.compchemeng.2022.108075
发表时间:2023
期刊:Computers and Chemical Engineering
影响因子:--
作者:Xiaolong Ge;Ran Zhang;Pengfei Liu;Botan Liu;Botong Liu
通讯作者:Botong Liu
DOI:10.1016/j.jclepro.2022.133618
发表时间:2022-08
期刊:Journal of Cleaner Production
影响因子:11.1
作者:Xiaolong Ge;Yicheng Han;P. Liu;Botan Liu;Botong Liu
通讯作者:Xiaolong Ge;Yicheng Han;P. Liu;Botan Liu;Botong Liu
国内基金
海外基金