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Steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier
The hydrodynamic model for a liquid–solid classifier, developed by Chen et al. (2001), is applied to the steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier. For the binary and multi-size systems, the particles had different sizes but equal dens...
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Published in: | Chemical engineering science 2002-03, Vol.57 (6), p.991-1002 |
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container_end_page | 1002 |
container_issue | 6 |
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container_title | Chemical engineering science |
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creator | Chen, Aihua Grace, John R Epstein, Norman Lim, C.Jim |
description | The hydrodynamic model for a liquid–solid classifier, developed by
Chen et al. (2001), is applied to the steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier. For the binary and multi-size systems, the particles had different sizes but equal densities. The model was used to investigate the effects of different operating conditions—fluidizing liquid flowrate, feed voidage, feed flowrate, underflow discharge flowrate, breadth of particle size distribution in feed stream, height of cylindrical region of the classifier—on the voidages in the underflow discharge stream and the overflow stream from the classifier, as well as classifier efficiencies. The single fitted parameter, an axial dispersion coefficient, is either fitted for a single condition using measured voidages or concentrations, or is based on a correlation given in an earlier paper. Predictions from the model agree quite well with the experimental results obtained in five columns of diameter
191
mm
having different geometries with water and glass beads of different sizes. |
doi_str_mv | 10.1016/S0009-2509(01)00428-6 |
format | article |
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Chen et al. (2001), is applied to the steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier. For the binary and multi-size systems, the particles had different sizes but equal densities. The model was used to investigate the effects of different operating conditions—fluidizing liquid flowrate, feed voidage, feed flowrate, underflow discharge flowrate, breadth of particle size distribution in feed stream, height of cylindrical region of the classifier—on the voidages in the underflow discharge stream and the overflow stream from the classifier, as well as classifier efficiencies. The single fitted parameter, an axial dispersion coefficient, is either fitted for a single condition using measured voidages or concentrations, or is based on a correlation given in an earlier paper. Predictions from the model agree quite well with the experimental results obtained in five columns of diameter
191
mm
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Chen et al. (2001), is applied to the steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier. For the binary and multi-size systems, the particles had different sizes but equal densities. The model was used to investigate the effects of different operating conditions—fluidizing liquid flowrate, feed voidage, feed flowrate, underflow discharge flowrate, breadth of particle size distribution in feed stream, height of cylindrical region of the classifier—on the voidages in the underflow discharge stream and the overflow stream from the classifier, as well as classifier efficiencies. The single fitted parameter, an axial dispersion coefficient, is either fitted for a single condition using measured voidages or concentrations, or is based on a correlation given in an earlier paper. Predictions from the model agree quite well with the experimental results obtained in five columns of diameter
191
mm
having different geometries with water and glass beads of different sizes.</description><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Classifier</subject><subject>Exact sciences and technology</subject><subject>Fluidization</subject><subject>Liquid–solid systems</subject><subject>Particles</subject><subject>Sedimentation</subject><issn>0009-2509</issn><issn>1873-4405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LJDEQhoO44Oj6E4RcFAV7N0mnO9MnEfFjQdjDrOdQnQ8oyXSPqR7B_fVmZkSPHpKQylMp3oexEyl-SSHb3wshRFepRnTnQl4IodW8avfYTM5NXWktmn02-0QO2CHRc7kaI8WMPS-mAP6N0wRT4B5pFTLhOPAx8uU4jBXh_3DJexwgv3EYPF-u04TbMl9BntClQBwHDjzhyxo9j6ns5dnzviyXgAgjhvyT_YiQKBx_nEfs6e72381D9fj3_s_N9WPltJFTpUBIJ43o5FzLGlQvWzBG9Sa6phPKxbpru1r3ft74CKUWfWdKslo3vQ8R6iN2tvt3lceXdaDJLpFcSAmGMK7JKmO00toUsNmBLo9EOUS7yrgsOa0UdmPWbs3ajTYrpN2atW3pO_0YAOQgxQyDQ_pqrptGKl0X7mrHhZL2tRiw5DAMLnjMwU3Wj_jNpHdQeo3Z</recordid><startdate>20020301</startdate><enddate>20020301</enddate><creator>Chen, Aihua</creator><creator>Grace, John R</creator><creator>Epstein, Norman</creator><creator>Lim, C.Jim</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20020301</creationdate><title>Steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier</title><author>Chen, Aihua ; Grace, John R ; Epstein, Norman ; Lim, C.Jim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-2a01c170918413a2b16a772b7fc5902cf396934bd85dfac59fd97250345bdefa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Classifier</topic><topic>Exact sciences and technology</topic><topic>Fluidization</topic><topic>Liquid–solid systems</topic><topic>Particles</topic><topic>Sedimentation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Aihua</creatorcontrib><creatorcontrib>Grace, John R</creatorcontrib><creatorcontrib>Epstein, Norman</creatorcontrib><creatorcontrib>Lim, C.Jim</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Chemical engineering science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Aihua</au><au>Grace, John R</au><au>Epstein, Norman</au><au>Lim, C.Jim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier</atitle><jtitle>Chemical engineering science</jtitle><date>2002-03-01</date><risdate>2002</risdate><volume>57</volume><issue>6</issue><spage>991</spage><epage>1002</epage><pages>991-1002</pages><issn>0009-2509</issn><eissn>1873-4405</eissn><coden>CESCAC</coden><abstract>The hydrodynamic model for a liquid–solid classifier, developed by
Chen et al. (2001), is applied to the steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier. For the binary and multi-size systems, the particles had different sizes but equal densities. The model was used to investigate the effects of different operating conditions—fluidizing liquid flowrate, feed voidage, feed flowrate, underflow discharge flowrate, breadth of particle size distribution in feed stream, height of cylindrical region of the classifier—on the voidages in the underflow discharge stream and the overflow stream from the classifier, as well as classifier efficiencies. The single fitted parameter, an axial dispersion coefficient, is either fitted for a single condition using measured voidages or concentrations, or is based on a correlation given in an earlier paper. Predictions from the model agree quite well with the experimental results obtained in five columns of diameter
191
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subjects | Applied sciences Chemical engineering Classifier Exact sciences and technology Fluidization Liquid–solid systems Particles Sedimentation |
title | Steady state dispersion of mono-size, binary and multi-size particles in a liquid fluidized bed classifier |
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