Simulation of Bimodal Fiber Distribution Effect on Transient Accumulation of Particles During Filtration
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Simulation of Bimodal Fiber Distribution Effect on Transient Accumulation of Particles During Filtration AKAMPUMUZA Obed 1,3 ,
WU Jiajun 1 (),
QUAN Zhenzhen 1,2 (),
QIN Xiaohong 1∗ ()
(1. College of Textiles, Donghua University, Shanghai 201620, China; 2. Innovation Center for Textile Science and Technology, Donghua University, Shanghai 201620, China; 3. Uganda Industrial Research Institute, P.O. Box 7086, Kampala, Uganda)
© Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract: Modeling has become phenomenal in developing new products. In the case of filters, one of the most applied procedures is via the construction of idealized physical computational models bearing close semblance to real filter media. It is upon these that multi-physics tools were applied to analyze the flow of fluid and the resulting typical performance parameters. In this work, two 3D filter membranes were constructed with MATLAB; one had a random distribution of unimodal nanofibers, and the other, a novel modification, formed a bimodal distribution; both of them had similar dimensions and solid volume fractions. A comparison of their performance in a dust-loading environment was made by using computational fluid dynamic-discrete element method (CFD-DEM) coupling technique in STAR-CCM+. It was found that the bimodal nanofiber membrane greatly improved the particle capture efficiency. Whereas this increased the pressure drop, the gain was not too significant. Thus, overall, the results of the figure of merit proved that adopting a bimodal formation improved the filter’s quality. Key words: 3D virtual filters, computational fluid dynamic (CFD), discrete element method (DEM), coupling simulation, dust loading, STAR-CCM+ CLC number: TQ 021.1 Document code: A
0 Introduction Filtration is a multi-phase process in which the component phases interact in an intricate fashion. Particles are deposited on the porous filter structure whereas the fluid that carries them there goes on to permeate through the filter’s pore network. During the initial stage of this process (also known as the clean filter phase), the quantity of the deposited particulate matter is not too significant to affect the filter’s subsequent performance behavior. Due to the relative simplicity of this stage, most classical filtration theories were derived based on it[1-4] . However, filters deployed in their natural operating environments experience a sustained flow of contaminant-laced fluids which builds the chains of particulate matter on their surfaces; this process was Received: 2019-12-12 Accepted: 2020-01-05 Foundation item: the Chang Jiang Youth Scholars Program of China (No. 51773037), the National Natural Science Foundation of China (Nos. 51803023 and 61771123), the Shanghai Sailing Program (No. 18YF1400400), the China Postdoctoral Science Foundation (No. 2018M640317), and the Fundamental Research Funds for the Central Universities (No. 2232018A3-11) ∗E-mail: [email protected]
first observed by Watson[5] . Taking a case of simple air filters,
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