DYNAMICS OF PARTICLE LOADING IN DEEP-BED FILTER. TRANSPORT, DEPOSITION AND REENTRAINMENT

被引:7
作者
Przekop, Rafal [1 ]
Gradon, Leon [1 ]
机构
[1] Warsaw Univ Technol, Fac Chem & Proc Engn, Ul Warynskiego 1, PL-00645 Warsaw, Poland
来源
CHEMICAL AND PROCESS ENGINEERING-INZYNIERIA CHEMICZNA I PROCESOWA | 2016年 / 37卷 / 03期
关键词
filtration; lattice Boltzmann; Brownian dynamics; multi-phase flows; porous media; NUMERICAL-SIMULATION; FIBROUS FILTERS; BROWNIAN DYNAMICS; POROUS-MEDIA; FLOW; FILTRATION; EFFICIENCY; BEHAVIOR; FIBERS; MODEL;
D O I
10.1515/cpe-2016-0033
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Deep bed filtration is an effective method of submicron and micron particle removal from the fluid stream. There is an extensive body of literature regarding particle deposition in filters, often using the classical continuum approach. However, the approach is not convenient for studying the influence of particle deposition on filter performance (filtration efficiency, pressure drop) when non-steady state boundary conditions have to be introduced. For the purposes of this work the lattice-Boltzmann model describes fluid dynamics, while the solid particle motion is modeled by the Brownian dynamics. For aggregates the effect of their structure on displacement is taken into account. The possibility of particles rebound from the surface of collector or reentrainment of deposits to fluid stream is calculated by energy balanced oscillatory model derived from adhesion theory. The results show the evolution of filtration efficiency and pressure drop of filters with different internal structure described by the size of pores. The size of resuspended aggregates and volume distribution of deposits in filter were also analyzed. The model enables prediction of dynamic filter behavior. It can be a very useful tool for designing filter structures which optimize maximum lifetime with the acceptable values of filtration efficiency and pressure drop.
引用
收藏
页码:405 / 417
页数:13
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