Numerical Model of Filtration Efficiency Based on Fractal Characteristics of Particulate Matter and Particle Filter

Fractal theory was used to characterize particles and particle trapping parameters to accurately predict the particle filtration process inside a gasoline engine particle filter (GPF). The particles were fractal aggregates, and the fractal dimension (Df) was introduced to redefine the particle size....

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Bibliographic Details
Published in:	Atmosphere 2023-11, Vol.14 (11), p.1689
Main Authors:	Liu, Yiqing, Wang, Hao, Yu, Haisheng
Format:	Article
Language:	eng
Subjects:	Air filters Control Diameters Diesel engines Diffusion coefficient Efficiency Electron microscopes Engines Filtration filtration efficiency Fractal geometry Fractal models fractal theory Fractals Gasoline Gasoline engines GPF Mathematical models Modelling Morphology Numerical models Parameters Particle size Particles Particulate matter Performance measurement Permeability Pore size Porosity Porous materials Porous media Pressure drop Scanning electron microscopy Solid phases Statistical analysis structural parameters Suspended particulate matter Tortuosity Trapping
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Summary:	Fractal theory was used to characterize particles and particle trapping parameters to accurately predict the particle filtration process inside a gasoline engine particle filter (GPF). The particles were fractal aggregates, and the fractal dimension (Df) was introduced to redefine the particle size. The porous medium inside the particle filter was a solid phase fractal. The pore tortuosity fractal dimension (Dt) and the pore area fractal dimension (Da) were introduced to define the fiber length of the trap. The Brownian diffusion coefficient and permeability were modified. A new fractal numerical model of GPF filtration efficiency was proposed based on the classical filtration theory. The results show that the fractal expansion model of filtration efficiency has good applicability. The influence of GPF structural parameters on filtration efficiency and pressure drop was analyzed. In this study, two performance metrics, trapping efficiency and pressure drop, were considered by fractal expansion filtration modeling. It is possible to increase or decrease filtration efficiency by adjusting the porosity and pore diameter.
ISSN:	2073-4433 2073-4433