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基于改进格子Boltzmann焓法模型的霜层生长数值研究

A Numerical Study of Frost Layer Growth with Improved Lattice Boltzmann Enthalpy Method
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摘要 采用介观尺度格子Boltzmann方法数值研究壁面的表面特性对霜层生长的影响.将成核概率模型和改进的焓法相变模型相耦合,建立基于成核概率理论的霜层生长过程格子Boltzmann模型.该模型能够在宏观尺度上模拟霜层生长的加密加厚过程,也可以从微观尺度上描述局部的冰枝生长导致的霜层结构的动态变化,应用该模型能够获得霜层平均厚度、平均密度、结霜量等内部非稳态物理量.开展冷壁面上霜层形成及生长过程的数值研究,获得霜层的拓扑结构时空演化特性,得到不同时刻下结霜量以及霜层的平均厚度、平均密度、平均固相体积分数,探讨冷壁面温度、相对湿度、冷表面浸润性能对结霜的影响. Influence of wall surface on growth of frost layer is studied by using mesoscale lattice Boltzmann method. Nucleation probability model is coupled with improved enthalpy model. A lattice Boltzmann model of frost layer growth process based on nucleation probability theory is established. It simulates thickening of frost layer growth on macro scale, and dynamic change of frost layer structure caused by growth of ice branches in microscale as well. Average thickness, average density and frosting amount of frost layer are obtained. Formation and growth of frost layer on cold wall surface are studied. Temporal and spatial evolution of topological structure of frost layer are obtained. Average thickness, average density and average solid volume fraction of frost at different time were calculated and effects of cold wall surface temperature, relative humidity and cold surface infiltration on frost were discussed.
作者 崔静 杨霆浩 杨帆 李虎林 杨广峰 CUI Jing;YANG Tinghao;YANG Fan;LI Hulin;YANG Guangfeng(Airport College of Civil Aviation University of China,Tianjin 300300,China)
出处 《计算物理》 EI CSCD 北大核心 2019年第3期323-334,共12页 Chinese Journal of Computational Physics
基金 国家自然科学基金(U1633111 51206179) 中央高校基本科研业务费(3122017036 3122017040 ZYGX2018044)资助项目
关键词 格子BOLTZMANN模型 概率生长模型 改进焓法模型 结霜 表面浸润性 lattice Boltzmann model nucleation probability model improved enthalpy model frost surface infiltration
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