期刊
POWDER TECHNOLOGY
卷 385, 期 -, 页码 131-143出版社
ELSEVIER
DOI: 10.1016/j.powtec.2021.02.072
关键词
Direct numerical simulation; Discrete element method; Signed distance function; Wall boundary model; X-ray CT image
资金
- Hosokawa Powder Technology Foundation
- Nippon Life Insurance Foundation
This study investigated the permeation behavior of particles through a PPS fibrous filter using numerical simulations. A new method was proposed to create a signed distance function (SDF) of the filter structure, and it was found that particles tend to contact fibers oriented perpendicularly to the main flow direction.
In this study, we investigated the permeation behavior of particles through a polyphenylene sulfide (PPS) fibrous filter using a numerical simulation approach. To represent realistic flow inside the filter during simulation, voxel data obtained from X-ray computed tomography (CT) images of the PPS filter microstructure were used. To cal-culate the contact force between the particle and the fiber surface, we propose a new method to create a signed distance function (SDF) of the PPS filter structure by utilizing the phase-field model and the level set method. Our method successfully constructs SDF from the complex filter microstructures created from the X-ray CT images. As a demonstration of the application of this method, the permeation of four particles through a realistic filter mi-crostructure was simulated. The effect of the filter microstructure, such as the fiber orientation and porosity, on the permeation behavior of the particles was investigated using several filter domains. Our simulations dem-onstrate that the behavior of the particles in contact with the fiber surface can be reasonably described by apply-ing SDF. The particles tend to contact the fibers oriented perpendicularly to the main flow direction rather than the fibers oriented parallelly. In addition, particles remain inside lower porous filter domains for longer durations because of an increase in the probability of contact with the fiber surfaces. (c) 2021 Elsevier B.V. All rights reserved.
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