Application of deep learning neural networks for the analysis of fluid-particle dynamics in fibrous filters

Shirzadi, Mohammadreza; Fukasawa, Tomonori; Fukui, Kiichi; Ishigami, Toru

doi:10.1016/j.cej.2022.140775

Cited by 19 publications

(3 citation statements)

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“…The SDF can represent complex geometries in a scalar field without complicated procedures. Yokoi et al, Shigeto et al, Shirzadi et al, and Kawashima et al used SDF as a wall boundary model for complex solid geometries in the granular flow simulations. The SDF, denoted by ϕ, is defined as ϕ ( x ) = normald ( x ) s ( x ) where d( x ) is the minimum distance from position vector x to the nearest point on the surface.…”

Section: Methodsmentioning

confidence: 99%

“…Artificial 3D filter model installed in the computational domain to simulate air filtration. (a) artificial 3D filter domain with a porosity of 95% and a fiber diameter of 10 μm, (b) X-ray CT image of commercial N95 face mask (reprinted with permission from ref , Copyright 2023 Elsevier), and (c) cross-sectional view of SDF contours at y = 47 μm in the artificial filter domain.…”

Section: Methodsmentioning

confidence: 99%

“…The SDF can represent complex geometries in a scalar field without complicated procedures. Yokoi et al, Shigeto et al, Shirzadi et al, and Kawashima et al used SDF as a wall boundary model for complex solid geometries in the granular flow simulations. The SDF, denoted by ϕ, is defined as where d( x ) is the minimum distance from position vector x to the nearest point on the surface.…”

Section: Methodsmentioning

confidence: 99%

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Investigation on the Collection Mechanism of van der Waals Force in Air Filtration by Numerical Simulation and Empirical Model Development

Rachmawati,

Hada,

Shirzadi

et al. 2024

Ind. Eng. Chem. Res.

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van der Waals forces, which are attractive interactions between electroneutral particles and fibers, are not as widely recognized as other collection mechanisms in fibrous filters. We developed a numerical model by combining computational fluid dynamics (CFD) and a discrete phase model (DPM) to predict the impact of van der Waals forces on particle dynamics in filter microstructures. The results were extended to establish an empirical model for the collection efficiency due to van der Waals forces. The filter microstructure was constructed by using an artificial three-dimensional (3D) filter domain with a signed distance function (SDF). We found that the collection efficiency due to van der Waals forces increased with a decrease in the porosity and fiber diameter. By testing the filter microstructures, our empirical model provided an appropriate prediction. This study contributes to a new understanding of the collection mechanism of van der Waals forces and offers a user-friendly estimation of the collection efficiency due to van der Waals forces.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…The SDF can represent complex geometries in a scalar field without complicated procedures. Yokoi et al, Shigeto et al, Shirzadi et al, and Kawashima et al used SDF as a wall boundary model for complex solid geometries in the granular flow simulations. The SDF, denoted by ϕ, is defined as where d( x ) is the minimum distance from position vector x to the nearest point on the surface.…”

Section: Methodsmentioning

confidence: 99%

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