Modeling transport of colloidal particles through polydisperse fibrous membrane filters under unfavorable chemical and physical conditions
Numerical simulations of filters with polydisperse fibers under chemically and physically unfavorable conditions were conducted to predict particle retentions on polypropylene fibrous filters. The fibrous filters were analyzed by a scanning electron microscopy to obtain fiber size distributions, and...
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Veröffentlicht in: | Powder technology 2019-10, Vol.355, p.7-17 |
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creator | Lee, Handol Kang, Seungkoo Kim, Seong Chan Pui, David Y.H. |
description | Numerical simulations of filters with polydisperse fibers under chemically and physically unfavorable conditions were conducted to predict particle retentions on polypropylene fibrous filters. The fibrous filters were analyzed by a scanning electron microscopy to obtain fiber size distributions, and on the basis of a randomized algorithm, 2-D calculation domains were generated, and flow field calculations were conducted. For tracking particles, the standard Lagrangian tracking method in ANSYS Fluent software was modified by user-defined functions to incorporate particle deposition via interception and interaction energy calculations. Particle release from collector surfaces was considered by performing torque analysis for particles attached to the surfaces. Numerical retention efficiencies of fibrous filters showed very good agreement with experimental data without any free parameters or empirical correction factors. The parametric studies of polydisperse fibrous filters were conducted, and the retention efficiency was varied from 0 to 100% depending on chemical and physical conditions.
[Display omitted]
•Modeling of membranes with polydisperse fiber size distributions.•Incorporating interaction energy between a particle and filter in particle tracking.•Accurate prediction of deposition behaviors of colloidal particles on membranes.•Insignificant effect of membrane thickness on collision efficiency.•Lower collision efficiency with smaller fiber size and lower solid volume fraction. |
doi_str_mv | 10.1016/j.powtec.2019.07.025 |
format | Article |
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[Display omitted]
•Modeling of membranes with polydisperse fiber size distributions.•Incorporating interaction energy between a particle and filter in particle tracking.•Accurate prediction of deposition behaviors of colloidal particles on membranes.•Insignificant effect of membrane thickness on collision efficiency.•Lower collision efficiency with smaller fiber size and lower solid volume fraction.</description><identifier>ISSN: 0032-5910</identifier><identifier>EISSN: 1873-328X</identifier><identifier>DOI: 10.1016/j.powtec.2019.07.025</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Adhesive and hydrodynamic torque ; Algorithms ; Colloid chemistry ; Computer simulation ; Derjaguin-Landau-Verwey-Overbeek (DLVO) theory ; Empirical analysis ; Filters ; Interception ; Mathematical models ; Membrane filters ; Microfiltration ; Organic chemistry ; Particle deposition ; Polydisperse fibrous membrane filter ; Polypropylene ; Retention ; Scanning electron microscopy ; Tracking ; Ultrafiltration</subject><ispartof>Powder technology, 2019-10, Vol.355, p.7-17</ispartof><rights>2019</rights><rights>Copyright Elsevier BV Oct 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-1997af78413afa3df0a1ef731f9f1ee5fb04e2fcef4c62b06269e02cec6f80453</citedby><cites>FETCH-LOGICAL-c334t-1997af78413afa3df0a1ef731f9f1ee5fb04e2fcef4c62b06269e02cec6f80453</cites><orcidid>0000-0002-9819-2957</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.powtec.2019.07.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Lee, Handol</creatorcontrib><creatorcontrib>Kang, Seungkoo</creatorcontrib><creatorcontrib>Kim, Seong Chan</creatorcontrib><creatorcontrib>Pui, David Y.H.</creatorcontrib><title>Modeling transport of colloidal particles through polydisperse fibrous membrane filters under unfavorable chemical and physical conditions</title><title>Powder technology</title><description>Numerical simulations of filters with polydisperse fibers under chemically and physically unfavorable conditions were conducted to predict particle retentions on polypropylene fibrous filters. The fibrous filters were analyzed by a scanning electron microscopy to obtain fiber size distributions, and on the basis of a randomized algorithm, 2-D calculation domains were generated, and flow field calculations were conducted. For tracking particles, the standard Lagrangian tracking method in ANSYS Fluent software was modified by user-defined functions to incorporate particle deposition via interception and interaction energy calculations. Particle release from collector surfaces was considered by performing torque analysis for particles attached to the surfaces. Numerical retention efficiencies of fibrous filters showed very good agreement with experimental data without any free parameters or empirical correction factors. The parametric studies of polydisperse fibrous filters were conducted, and the retention efficiency was varied from 0 to 100% depending on chemical and physical conditions.
[Display omitted]
•Modeling of membranes with polydisperse fiber size distributions.•Incorporating interaction energy between a particle and filter in particle tracking.•Accurate prediction of deposition behaviors of colloidal particles on membranes.•Insignificant effect of membrane thickness on collision efficiency.•Lower collision efficiency with smaller fiber size and lower solid volume fraction.</description><subject>Adhesive and hydrodynamic torque</subject><subject>Algorithms</subject><subject>Colloid chemistry</subject><subject>Computer simulation</subject><subject>Derjaguin-Landau-Verwey-Overbeek (DLVO) theory</subject><subject>Empirical analysis</subject><subject>Filters</subject><subject>Interception</subject><subject>Mathematical models</subject><subject>Membrane filters</subject><subject>Microfiltration</subject><subject>Organic chemistry</subject><subject>Particle deposition</subject><subject>Polydisperse fibrous membrane filter</subject><subject>Polypropylene</subject><subject>Retention</subject><subject>Scanning electron microscopy</subject><subject>Tracking</subject><subject>Ultrafiltration</subject><issn>0032-5910</issn><issn>1873-328X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9UE1rGzEQFSWFukn-QQ6CnHc7kvbzEighTQsuvTTQm9BKI1tGXm0lOcF_Ib86ct1zLjPMm_feMI-QGwY1A9Z92dVLeMmoaw5srKGvgbcfyIoNvagEH_5ckBWA4FU7MvhEPqe0A4BOMFiR15_BoHfzhuao5rSEmGmwVAfvgzPK00XF7LTHRPM2hsNmS5fgj8alBWNCat1U0ET3uJ-KwQnwuWzoYTYYS7XqOUQ1eaR6i3uni6WaDV22x_Rv0GE2Lrswpyvy0Sqf8Pp_vyRP3x5-33-v1r8ef9x_XVdaiCZXbBx7ZfuhYUJZJYwFxdD2gtnRMsTWTtAgtxptozs-Qce7EYFr1J0doGnFJbk9-y4x_D1gynIXDnEuJyUXYmBjCz0vrObM0jGkFNHKJbq9ikfJQJ5Slzt5Tl2eUpfQy5J6kd2dZVg-eHYYZdIOZ43GRdRZmuDeN3gDL7OSXg</recordid><startdate>201910</startdate><enddate>201910</enddate><creator>Lee, Handol</creator><creator>Kang, Seungkoo</creator><creator>Kim, Seong Chan</creator><creator>Pui, David Y.H.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7ST</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>JG9</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9819-2957</orcidid></search><sort><creationdate>201910</creationdate><title>Modeling transport of colloidal particles through polydisperse fibrous membrane filters under unfavorable chemical and physical conditions</title><author>Lee, Handol ; Kang, Seungkoo ; Kim, Seong Chan ; Pui, David Y.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-1997af78413afa3df0a1ef731f9f1ee5fb04e2fcef4c62b06269e02cec6f80453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adhesive and hydrodynamic torque</topic><topic>Algorithms</topic><topic>Colloid chemistry</topic><topic>Computer simulation</topic><topic>Derjaguin-Landau-Verwey-Overbeek (DLVO) theory</topic><topic>Empirical analysis</topic><topic>Filters</topic><topic>Interception</topic><topic>Mathematical models</topic><topic>Membrane filters</topic><topic>Microfiltration</topic><topic>Organic chemistry</topic><topic>Particle deposition</topic><topic>Polydisperse fibrous membrane filter</topic><topic>Polypropylene</topic><topic>Retention</topic><topic>Scanning electron microscopy</topic><topic>Tracking</topic><topic>Ultrafiltration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Handol</creatorcontrib><creatorcontrib>Kang, Seungkoo</creatorcontrib><creatorcontrib>Kim, Seong Chan</creatorcontrib><creatorcontrib>Pui, David Y.H.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><jtitle>Powder technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Handol</au><au>Kang, Seungkoo</au><au>Kim, Seong Chan</au><au>Pui, David Y.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling transport of colloidal particles through polydisperse fibrous membrane filters under unfavorable chemical and physical conditions</atitle><jtitle>Powder technology</jtitle><date>2019-10</date><risdate>2019</risdate><volume>355</volume><spage>7</spage><epage>17</epage><pages>7-17</pages><issn>0032-5910</issn><eissn>1873-328X</eissn><abstract>Numerical simulations of filters with polydisperse fibers under chemically and physically unfavorable conditions were conducted to predict particle retentions on polypropylene fibrous filters. The fibrous filters were analyzed by a scanning electron microscopy to obtain fiber size distributions, and on the basis of a randomized algorithm, 2-D calculation domains were generated, and flow field calculations were conducted. For tracking particles, the standard Lagrangian tracking method in ANSYS Fluent software was modified by user-defined functions to incorporate particle deposition via interception and interaction energy calculations. Particle release from collector surfaces was considered by performing torque analysis for particles attached to the surfaces. Numerical retention efficiencies of fibrous filters showed very good agreement with experimental data without any free parameters or empirical correction factors. The parametric studies of polydisperse fibrous filters were conducted, and the retention efficiency was varied from 0 to 100% depending on chemical and physical conditions.
[Display omitted]
•Modeling of membranes with polydisperse fiber size distributions.•Incorporating interaction energy between a particle and filter in particle tracking.•Accurate prediction of deposition behaviors of colloidal particles on membranes.•Insignificant effect of membrane thickness on collision efficiency.•Lower collision efficiency with smaller fiber size and lower solid volume fraction.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.powtec.2019.07.025</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9819-2957</orcidid></addata></record> |
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subjects | Adhesive and hydrodynamic torque Algorithms Colloid chemistry Computer simulation Derjaguin-Landau-Verwey-Overbeek (DLVO) theory Empirical analysis Filters Interception Mathematical models Membrane filters Microfiltration Organic chemistry Particle deposition Polydisperse fibrous membrane filter Polypropylene Retention Scanning electron microscopy Tracking Ultrafiltration |
title | Modeling transport of colloidal particles through polydisperse fibrous membrane filters under unfavorable chemical and physical conditions |
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