scholarly journals Network model evaluation of the effects of pore and particle size distributions on dynamic straining-dominant deep bed filtration in porous media

Author(s):  
Binbin Ding ◽  
Chaolin Li ◽  
Jianhui Xu ◽  
Jian Zhang ◽  
Yaowu Wang ◽  
...  
1999 ◽  
Vol 104 (2) ◽  
pp. 169-179 ◽  
Author(s):  
Toby Mathews ◽  
G.Peter Matthews ◽  
Stephen Huggett

2021 ◽  
pp. 146808742199221
Author(s):  
Zhijun Li ◽  
Boxi Shen ◽  
Yanke Zhang ◽  
Xiangjin Kong ◽  
Shilong Li

In order to describe the microstructure of the porous wall of a gasoline particulate filter (GPF), a pore size distribution based on a probability density function (PDF) and a non-uniform porosity distribution are introduced. The dynamic process of deep-bed filtration in GPF with inhomogeneous wall structure is studied, considering different particle size distributions (PSDs). The results show that most of the particles are captured in the top region of the porous wall, in which the porosity and permeability reduce more obviously during dynamic filtration, and the bottom of the porous wall contributes little to the overall filtration. As time increases, the filtration efficiency of the porous wall for each particle size increases, and the most penetrating particle’s diameter becomes smaller gradually. The dynamic evolution of characteristic parameters of the porous wall, the most efficient filtration region, the pressure drop and the duration of deep-bed filtration are strongly influenced by PSD. This research illustrates the necessity to consider difference of PSDs when working on the filtration process of GPFs.


1999 ◽  
Author(s):  
K.K. Ellis ◽  
R. Buchan ◽  
M. Hoover ◽  
J. Martyny ◽  
B. Bucher-Bartleson ◽  
...  

2010 ◽  
Vol 126 (10/11) ◽  
pp. 577-582 ◽  
Author(s):  
Katsuhiko FURUKAWA ◽  
Yuichi OHIRA ◽  
Eiji OBATA ◽  
Yutaka YOSHIDA

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