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Lattice-Boltzmann approach for description of the structure of deposited particulate matter in fibrous filters

机译:用Lattice-Boltzmann方法描述纤维过滤器中沉积颗粒物的结构

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The rational design of filtration process should be based on reliable predictions of the dependence on the effluent concentration and on the pressure drop variations with time for a given set of the operating conditions, i.e. particle cocnentration and size, filter packing density, size of filter element, gas velocity, etc. The pattern of filling of the internal space with the porous structure of fibrous fi8lters strongly influences the behavior of the filter at the stage of non-steady-state filtration. The cellular automata probabilistic model extended to the lattice-Boltzmann approach was sued for descritpion of the local structures of deposited particles forming clusters on the surface of a single fibre of the filter. The fractal dimension of deposited structure and its local porosity were calcualted for the Peclet number ranging from 0.5 to 10. The results of calculations show that deposits, for which diffusion is a controlling mechanism of deposition, have higher fractal dimension, are strongly branched and are distributed around the filter fibre. Deposits obtained for the conditions related to the higher Peclet numbers are situated at the front of the fibrea nd are more regular than those obtained for diffusion-controlled deposition. The pressure drop of the aerosol flow through a loaded fibre increases more rapidly, during loading, for diffusion-controlled deposition than that for the higher contribution of convection during the deposition process.
机译:对于给定的一组运行条件,合理的过滤工艺设计应基于对废水浓度和压降随时间变化的依赖性的可靠预测,即颗粒浓度和大小,过滤器填充密度,过滤器元件的大小纤维过滤器的多孔结构填充内部空间的方式在非稳态过滤阶段会严重影响过滤器的性能。提出了扩展到晶格-玻尔兹曼方法的细胞自动机概率模型,以描述在过滤器单纤维表面上形成簇的沉积颗粒的局部结构。计算出的沉积结构的分形维数及其局部孔隙率的Peclet数范围为0.5至10。计算结果表明,扩散是沉积的控制机制的沉积物具有较高的分形维数,强分枝并且是分布在过滤纤维周围。在与较高的Peclet数相关的条件下获得的沉积物位于纤维的前部,并且比通过扩散控制沉积获得的沉积物更规则。在加载过程中,对于扩散控制的沉积,与在沉积过程中对流的贡献较大相比,通过加载的纤维的气溶胶流的压降增加得更快。

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