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A numerical study of bend-induced particle deposition in and behind duct bends

This paper investigated the microparticle deposition and distribution due to the presence of duct bends by employing the Eulerian approach with Reynolds stress turbulent model and a Lagrangian trajectory method. The air velocity, particle velocity and particle deposition velocity were validated with...

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Detalles Bibliográficos
Autores principales: Sun, Ke, Lu, Lin, Jiang, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126509/
https://www.ncbi.nlm.nih.gov/pubmed/32288022
http://dx.doi.org/10.1016/j.buildenv.2011.12.009
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author Sun, Ke
Lu, Lin
Jiang, Hai
author_facet Sun, Ke
Lu, Lin
Jiang, Hai
author_sort Sun, Ke
collection PubMed
description This paper investigated the microparticle deposition and distribution due to the presence of duct bends by employing the Eulerian approach with Reynolds stress turbulent model and a Lagrangian trajectory method. The air velocity, particle velocity and particle deposition velocity were validated with available experimental data. Several particle deposition ratios were proposed to describe the particle accumulation due to bends. Particle deposition velocities in and behind bends were analyzed numerically. It is found that bend walls with surfaces of higher capture velocity tend to accumulate more contaminant particles as seen with an increased factor of 1.2 times on particle deposition velocity. Particle deposition reaches a maximum value near bend outlet, e.g. 15.2 times deposition ratio for particles of d(p) = 23 μm, and decay exponentially to a status of fully developed deposition in approximately 10D length. Compared to traditional consideration of sole deposition in bends, a new general concept of total deposition including that in bends and behind bends is proposed to better describe the particle deposition induced by bends since the enhancement deposition ratios behind bends compose 42–99% in the total ratios for particles of d(p) = 3–23 μm. Furthermore, models of fast power and exponential decay trend are demonstrated to uncover the relationship among enhancement factor of deposition velocity behind bend, dimensionless distance behind bends and particle Stokes number. The present study can contribute to the understanding and controlling of contaminant aerosol flow behavior in ducts, e.g. particle sampling, removal and associated epidemiologic study between particle and human health.
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spelling pubmed-71265092020-04-08 A numerical study of bend-induced particle deposition in and behind duct bends Sun, Ke Lu, Lin Jiang, Hai Build Environ Article This paper investigated the microparticle deposition and distribution due to the presence of duct bends by employing the Eulerian approach with Reynolds stress turbulent model and a Lagrangian trajectory method. The air velocity, particle velocity and particle deposition velocity were validated with available experimental data. Several particle deposition ratios were proposed to describe the particle accumulation due to bends. Particle deposition velocities in and behind bends were analyzed numerically. It is found that bend walls with surfaces of higher capture velocity tend to accumulate more contaminant particles as seen with an increased factor of 1.2 times on particle deposition velocity. Particle deposition reaches a maximum value near bend outlet, e.g. 15.2 times deposition ratio for particles of d(p) = 23 μm, and decay exponentially to a status of fully developed deposition in approximately 10D length. Compared to traditional consideration of sole deposition in bends, a new general concept of total deposition including that in bends and behind bends is proposed to better describe the particle deposition induced by bends since the enhancement deposition ratios behind bends compose 42–99% in the total ratios for particles of d(p) = 3–23 μm. Furthermore, models of fast power and exponential decay trend are demonstrated to uncover the relationship among enhancement factor of deposition velocity behind bend, dimensionless distance behind bends and particle Stokes number. The present study can contribute to the understanding and controlling of contaminant aerosol flow behavior in ducts, e.g. particle sampling, removal and associated epidemiologic study between particle and human health. Elsevier Ltd. 2012-06 2011-12-23 /pmc/articles/PMC7126509/ /pubmed/32288022 http://dx.doi.org/10.1016/j.buildenv.2011.12.009 Text en Copyright © 2011 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sun, Ke
Lu, Lin
Jiang, Hai
A numerical study of bend-induced particle deposition in and behind duct bends
title A numerical study of bend-induced particle deposition in and behind duct bends
title_full A numerical study of bend-induced particle deposition in and behind duct bends
title_fullStr A numerical study of bend-induced particle deposition in and behind duct bends
title_full_unstemmed A numerical study of bend-induced particle deposition in and behind duct bends
title_short A numerical study of bend-induced particle deposition in and behind duct bends
title_sort numerical study of bend-induced particle deposition in and behind duct bends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126509/
https://www.ncbi.nlm.nih.gov/pubmed/32288022
http://dx.doi.org/10.1016/j.buildenv.2011.12.009
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