张庆来, 李斌, 王雨萌, 范林达, 陈宇翔. 基于 LBM-DEM 喷动床内换热特性介尺度数值模拟[J]. 煤炭学报, 2022, 47(S1): 331-339.
引用本文: 张庆来, 李斌, 王雨萌, 范林达, 陈宇翔. 基于 LBM-DEM 喷动床内换热特性介尺度数值模拟[J]. 煤炭学报, 2022, 47(S1): 331-339.
ZHANG Qinglai, LI Bin, WANG Yumeng, FAN Linda, CHEN Yuxiang. Mesoscale numerical simulation of heat transfer characteristics in spout bed based on LBM-DEM[J]. Journal of China Coal Society, 2022, 47(S1): 331-339.
Citation: ZHANG Qinglai, LI Bin, WANG Yumeng, FAN Linda, CHEN Yuxiang. Mesoscale numerical simulation of heat transfer characteristics in spout bed based on LBM-DEM[J]. Journal of China Coal Society, 2022, 47(S1): 331-339.

基于 LBM-DEM 喷动床内换热特性介尺度数值模拟

Mesoscale numerical simulation of heat transfer characteristics in spout bed based on LBM-DEM

  • 摘要: 为探究喷动床内稠密气固两相体系间的相互作用机理,基于格子 Boltzmann 方法(LBM)经 典 D2Q9 双分布模型与离散单元法(DEM)软球弹性模型的结合,从介观角度建立了 LBM-DEM 耦 合流动及换热模型。 采用 Fortran 语言自主编程,针对不同射流入射速度下的微型喷动床进行了数 值模拟,并深入分析了床内稠密气、固两相及两相间的换热特性。 同时,将模拟结果与实验及相关 文献进行比对,有效验证了模型准确性。 研究结果表明,床内颗粒对于气相温度场的演变具有较强 的影响作用,气体入射速度越大,气相温度场变化速度越快,其温度梯度分布渐呈明显 S 状。 颗粒 在床体不同区域内的温升速率差异较大,而其在中间射流区停留时间的长短是决定粒间温度差异 的主因;射流速度与床内整体换热强度成正比,且其影响作用存在一定量变过程;微型喷动床内 3 种换热方式以对流换热为主,100 °C温差下,其占比达 99%以上。 射流入射速度与床内对流、辐射 换热过程正相关,与导热过程成负相关;0.5 ~ 0.9 m / s 速度范围内,射流速度对床内 3 种换热方式的 占比影响仅在 1‰,因此在低精度要求下此影响作用可忽略不计。 以上分析结果表明:介观 LBM- DEM 耦合模型可以作为分析稠密流-固两相系统流动及换热内在机理的有效手段。

     

    Abstract: In order to investigate the interaction mechanism between the dense gas⁃solid two⁃phase system in a spout bed,the LBM⁃DEM coupled flow and heat transfer model was established from the mesoscopic perspective based on the combination of the classical D2Q9 double distribution model of lattice Boltzmann method (LBM) and the soft sphere elastic model of the discrete element method (DEM). The numerical simulation of a micro⁃jet bed with differ⁃ ent jet incidence velocities was carried out using FORTRAN programming language,and the heat transfer characteris⁃ tics of dense gas⁃solid two⁃phase and two⁃phase in the bed were analyzed. At the same time,the simulation results were compared with experiments and relevant literatures,which effectively verified the accuracy of the model. The re⁃ sults show that the particles in the bed have a strong effect on the evolution of the gas temperature field. The larger the gas incidence velocity is,the faster the gas temperature field changes,and the temperature gradient distribu⁃ tion gradually presents an obvious S shape. The temperature increase rate of particles in different regions of the bed varies greatly,and the residence time of particles in the middle jet region is the main factor that determines the tempera⁃ ture difference between particles. The jet velocity is proportional to the overall heat transfer intensity in the bed,and its influence has a certain quantitative process. Convection is the main heat transfer mode in the micro⁃spout bed,which accounts for more than 99% under the temperature difference of 100 °C . The jet incidence velocity is positively corre⁃ lated with the convection and radiation heat transfer process in the bed,but negatively correlated with the heat conduc⁃ tion process. Within the velocity range of 0.5⁃0.9 m / s,the proportion of jet velocity on the three heat transfer modes in the bed is only about 1‰,so this effect can be ignored under the requirement of low accuracy. The above analysis results indicate that the mesoscopic LBM⁃DEM coupling model can be used as an effective means to analyze the flow and heat transfer mechanism in the dense fluid⁃solid two⁃phase system.

     

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