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Influence of particle distribution on filter coefficient in the initial stage of filtration
Under the condition that the size of suspended particles is nonhomogeneous, we studied how filter grain and suspended particles affect filter coefficient in the early stage. A stochastic method was used to study the variation of the initial filter coefficient. Through physical experiment, the collec...
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| Published in: | The Korean journal of chemical engineering 2013, 30(2), 155, pp.456-464 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c358t-9787bb61f454c5c8aed51c1bbf52309e12d44ed9f08969f1513dc1b9f92b8b263 |
| container_end_page | 464 |
| container_issue | 2 |
| container_start_page | 456 |
| container_title | The Korean journal of chemical engineering |
| container_volume | 30 |
| creator | Min, Xing Shu, Longcang Li, Wei Appiah-Adjei, Emmanuel Kwame |
| description | Under the condition that the size of suspended particles is nonhomogeneous, we studied how filter grain and suspended particles affect filter coefficient in the early stage. A stochastic method was used to study the variation of the initial filter coefficient. Through physical experiment, the collected data include the initial inflow and outflow concentration, the size distributions of particles in suspension and so on. By introducing the standard capture probability function P(d) and the characteristic length of filter bed L
c
, this separated the grains’ and particles’ influence on filter coefficient. An example showed that we could use P(d), L
c
to ascertain the result of effluent distribution, ratio of C
out
to C
in
in any depths and equivalent filter coefficient
λ
m
. We also studied the filter coefficient λ
l
during the experiment and the first-order derivative of
λ
l
. |
| doi_str_mv | 10.1007/s11814-012-0141-x |
| format | article |
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c
, this separated the grains’ and particles’ influence on filter coefficient. An example showed that we could use P(d), L
c
to ascertain the result of effluent distribution, ratio of C
out
to C
in
in any depths and equivalent filter coefficient
λ
m
. We also studied the filter coefficient λ
l
during the experiment and the first-order derivative of
λ
l
.</description><identifier>ISSN: 0256-1115</identifier><identifier>EISSN: 1975-7220</identifier><identifier>DOI: 10.1007/s11814-012-0141-x</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Biotechnology ; Catalysis ; Chemistry ; Chemistry and Materials Science ; Industrial Chemistry/Chemical Engineering ; Materials Science ; Separation Technology ; Thermodynamics ; 화학공학</subject><ispartof>Korean Journal of Chemical Engineering, 2013, 30(2), 155, pp.456-464</ispartof><rights>Korean Institute of Chemical Engineers, Seoul, Korea 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-9787bb61f454c5c8aed51c1bbf52309e12d44ed9f08969f1513dc1b9f92b8b263</citedby><cites>FETCH-LOGICAL-c358t-9787bb61f454c5c8aed51c1bbf52309e12d44ed9f08969f1513dc1b9f92b8b263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001738691$$DAccess content in National Research Foundation of Korea (NRF)$$Hfree_for_read</backlink></links><search><creatorcontrib>Min, Xing</creatorcontrib><creatorcontrib>Shu, Longcang</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Appiah-Adjei, Emmanuel Kwame</creatorcontrib><title>Influence of particle distribution on filter coefficient in the initial stage of filtration</title><title>The Korean journal of chemical engineering</title><addtitle>Korean J. Chem. Eng</addtitle><description>Under the condition that the size of suspended particles is nonhomogeneous, we studied how filter grain and suspended particles affect filter coefficient in the early stage. A stochastic method was used to study the variation of the initial filter coefficient. Through physical experiment, the collected data include the initial inflow and outflow concentration, the size distributions of particles in suspension and so on. By introducing the standard capture probability function P(d) and the characteristic length of filter bed L
c
, this separated the grains’ and particles’ influence on filter coefficient. An example showed that we could use P(d), L
c
to ascertain the result of effluent distribution, ratio of C
out
to C
in
in any depths and equivalent filter coefficient
λ
m
. We also studied the filter coefficient λ
l
during the experiment and the first-order derivative of
λ
l
.</description><subject>Biotechnology</subject><subject>Catalysis</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Materials Science</subject><subject>Separation Technology</subject><subject>Thermodynamics</subject><subject>화학공학</subject><issn>0256-1115</issn><issn>1975-7220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKsfwFuOXlYz2c3u5liKfwqCIPXkIWSzSU27JiVJoX57s13PwgzvMO_NMD-EboHcAyHNQwRooSoI0NwVFMczNAPesKKhlJyjGaGsLgCAXaKrGLeEMFZTMkOfK2eGg3ZKY2_wXoZk1aBxb2MKtjsk6x3OZeyQdMDKa2OsstolbB1OXzqLTVYOOCa5Oe0YrUGOwWt0YeQQ9c2fztHH0-N6-VK8vj2vlovXQpWsTQVv2qbrajAVqxRTrdQ9AwVdZxgtCddA-6rSPTek5TU3wKDs85gbTru2o3U5R3fTXheM2CkrvLQn3XixC2Lxvl6JJl9pRytMVhV8jEEbsQ_2W4YfAUSMIMUEUmSQYgQpjjlDp0zMXrfRQWz9Ibj80T-hXxbVd3Y</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Min, Xing</creator><creator>Shu, Longcang</creator><creator>Li, Wei</creator><creator>Appiah-Adjei, Emmanuel Kwame</creator><general>Springer US</general><general>한국화학공학회</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ACYCR</scope></search><sort><creationdate>20130201</creationdate><title>Influence of particle distribution on filter coefficient in the initial stage of filtration</title><author>Min, Xing ; Shu, Longcang ; Li, Wei ; Appiah-Adjei, Emmanuel Kwame</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-9787bb61f454c5c8aed51c1bbf52309e12d44ed9f08969f1513dc1b9f92b8b263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Biotechnology</topic><topic>Catalysis</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Materials Science</topic><topic>Separation Technology</topic><topic>Thermodynamics</topic><topic>화학공학</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Min, Xing</creatorcontrib><creatorcontrib>Shu, Longcang</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Appiah-Adjei, Emmanuel Kwame</creatorcontrib><collection>CrossRef</collection><collection>Korean Citation Index</collection><jtitle>The Korean journal of chemical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Min, Xing</au><au>Shu, Longcang</au><au>Li, Wei</au><au>Appiah-Adjei, Emmanuel Kwame</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of particle distribution on filter coefficient in the initial stage of filtration</atitle><jtitle>The Korean journal of chemical engineering</jtitle><stitle>Korean J. Chem. Eng</stitle><date>2013-02-01</date><risdate>2013</risdate><volume>30</volume><issue>2</issue><spage>456</spage><epage>464</epage><pages>456-464</pages><issn>0256-1115</issn><eissn>1975-7220</eissn><abstract>Under the condition that the size of suspended particles is nonhomogeneous, we studied how filter grain and suspended particles affect filter coefficient in the early stage. A stochastic method was used to study the variation of the initial filter coefficient. Through physical experiment, the collected data include the initial inflow and outflow concentration, the size distributions of particles in suspension and so on. By introducing the standard capture probability function P(d) and the characteristic length of filter bed L
c
, this separated the grains’ and particles’ influence on filter coefficient. An example showed that we could use P(d), L
c
to ascertain the result of effluent distribution, ratio of C
out
to C
in
in any depths and equivalent filter coefficient
λ
m
. We also studied the filter coefficient λ
l
during the experiment and the first-order derivative of
λ
l
.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11814-012-0141-x</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0256-1115 |
| ispartof | Korean Journal of Chemical Engineering, 2013, 30(2), 155, pp.456-464 |
| issn | 0256-1115 1975-7220 |
| language | eng |
| recordid | cdi_nrf_kci_oai_kci_go_kr_ARTI_797886 |
| source | Springer Nature |
| subjects | Biotechnology Catalysis Chemistry Chemistry and Materials Science Industrial Chemistry/Chemical Engineering Materials Science Separation Technology Thermodynamics 화학공학 |
| title | Influence of particle distribution on filter coefficient in the initial stage of filtration |
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