Numerical simulation of a fully baffled biological reactor: The differential circumferential averaging mixing plane approach
A modified mixing plane approach for steady state simulation of flow field in fully baffled biological reactor is presented and discussed. Without requiring any experimental input, this approach of dividing the vessel into suitable number of connected and disconnected zones; solving steady state equ...
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Veröffentlicht in: | Biotechnology and bioengineering 2006-11, Vol.95 (4), p.754-766 |
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description | A modified mixing plane approach for steady state simulation of flow field in fully baffled biological reactor is presented and discussed. Without requiring any experimental input, this approach of dividing the vessel into suitable number of connected and disconnected zones; solving steady state equation separately in each zone and then transferring information between them, provides a computationally less intensive alternative for simulating the flow in the whole vessel. Impeller used is the standard Rushton Turbine positioned at mid‐height of the reactor and simulations are carried out using standard k‐ε turbulence model implemented in CFD code FLUENT. Meshing is done using tetrahedral elements such that mesh size gradually increases from the center to the periphery. Most of the previous simulation works present only a few aspects of the flow field with scant importance to the energy balance in the tank and near tip turbulence. In this work, complete model prediction for velocity field and turbulence parameters (near tip and in the bulk region) are validated by comparison with experimental data. As compared to previous simulation works, the results predicted by this “Differential circumferential averaging mixing plane approach” show a better qualitative and quantitative agreement with the published experimental data. A distribution of energy dissipation in various zones of vessel is presented. Also a qualitative picture of flow field and stagnant zones inside the reactor is presented and discussed. Comparison of flow characteristics for different number of baffles shows that for the present dimension of the vessel, five baffles gives maximum enhanced mixing. © 2006 Wiley Periodicals, Inc. |
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Without requiring any experimental input, this approach of dividing the vessel into suitable number of connected and disconnected zones; solving steady state equation separately in each zone and then transferring information between them, provides a computationally less intensive alternative for simulating the flow in the whole vessel. Impeller used is the standard Rushton Turbine positioned at mid‐height of the reactor and simulations are carried out using standard k‐ε turbulence model implemented in CFD code FLUENT. Meshing is done using tetrahedral elements such that mesh size gradually increases from the center to the periphery. Most of the previous simulation works present only a few aspects of the flow field with scant importance to the energy balance in the tank and near tip turbulence. In this work, complete model prediction for velocity field and turbulence parameters (near tip and in the bulk region) are validated by comparison with experimental data. As compared to previous simulation works, the results predicted by this “Differential circumferential averaging mixing plane approach” show a better qualitative and quantitative agreement with the published experimental data. A distribution of energy dissipation in various zones of vessel is presented. Also a qualitative picture of flow field and stagnant zones inside the reactor is presented and discussed. Comparison of flow characteristics for different number of baffles shows that for the present dimension of the vessel, five baffles gives maximum enhanced mixing. © 2006 Wiley Periodicals, Inc.</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.21030</identifier><identifier>PMID: 16767780</identifier><identifier>CODEN: BIBIAU</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>biochemical reactor ; Biological and medical sciences ; Bioreactors ; Biotechnology ; CFD ; Comparative analysis ; Equipment Design - instrumentation ; Fundamental and applied biological sciences. Psychology ; impeller modeling ; k-ε turbulence model ; mixing plane approach ; Models, Theoretical ; Reactors ; Rheology - methods ; Rushton turbine ; Simulation ; Turbulence models</subject><ispartof>Biotechnology and bioengineering, 2006-11, Vol.95 (4), p.754-766</ispartof><rights>Copyright © 2006 Wiley Periodicals, Inc.</rights><rights>2007 INIST-CNRS</rights><rights>(c) 2006 Wiley Periodicals, Inc.</rights><rights>Copyright John Wiley and Sons, Limited Nov 5, 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4490-559c9ca51bc62b7bc854106726b0a9b789b61f5007170c7c94fc3774924ffb183</citedby><cites>FETCH-LOGICAL-c4490-559c9ca51bc62b7bc854106726b0a9b789b61f5007170c7c94fc3774924ffb183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbit.21030$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbit.21030$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18176416$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16767780$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dubey, Hitesh</creatorcontrib><creatorcontrib>Das, Sarit Kumar</creatorcontrib><creatorcontrib>Panda, Tapobrata</creatorcontrib><title>Numerical simulation of a fully baffled biological reactor: The differential circumferential averaging mixing plane approach</title><title>Biotechnology and bioengineering</title><addtitle>Biotechnol. Bioeng</addtitle><description>A modified mixing plane approach for steady state simulation of flow field in fully baffled biological reactor is presented and discussed. Without requiring any experimental input, this approach of dividing the vessel into suitable number of connected and disconnected zones; solving steady state equation separately in each zone and then transferring information between them, provides a computationally less intensive alternative for simulating the flow in the whole vessel. Impeller used is the standard Rushton Turbine positioned at mid‐height of the reactor and simulations are carried out using standard k‐ε turbulence model implemented in CFD code FLUENT. Meshing is done using tetrahedral elements such that mesh size gradually increases from the center to the periphery. Most of the previous simulation works present only a few aspects of the flow field with scant importance to the energy balance in the tank and near tip turbulence. In this work, complete model prediction for velocity field and turbulence parameters (near tip and in the bulk region) are validated by comparison with experimental data. As compared to previous simulation works, the results predicted by this “Differential circumferential averaging mixing plane approach” show a better qualitative and quantitative agreement with the published experimental data. A distribution of energy dissipation in various zones of vessel is presented. Also a qualitative picture of flow field and stagnant zones inside the reactor is presented and discussed. Comparison of flow characteristics for different number of baffles shows that for the present dimension of the vessel, five baffles gives maximum enhanced mixing. © 2006 Wiley Periodicals, Inc.</description><subject>biochemical reactor</subject><subject>Biological and medical sciences</subject><subject>Bioreactors</subject><subject>Biotechnology</subject><subject>CFD</subject><subject>Comparative analysis</subject><subject>Equipment Design - instrumentation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>impeller modeling</subject><subject>k-ε turbulence model</subject><subject>mixing plane approach</subject><subject>Models, Theoretical</subject><subject>Reactors</subject><subject>Rheology - methods</subject><subject>Rushton turbine</subject><subject>Simulation</subject><subject>Turbulence models</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0UFrFDEUB_Agit1WD34BCYJCD9O-ZGaSiTettS2UVWRF8BKSbLJNzcysyUztgh_ebHftQkE8hUd-eS_JH6EXBI4IAD3WfjiiBEp4hCYEBC-ACniMJgDAirIWdA_tp3SdS94w9hTtEcYZ5w1M0O_p2NrojQo4-XYMavB9h3uHFXZjCCuslXPBzrH2fegXdzBaZYY-vsWzK4vn3jkbbTf4vGN8NGO7q9WNjWrhuwVu_e16WQbVWayWy9grc_UMPXEqJPt8ux6grx9PZyfnxeWns4uTd5eFqSoBRV0LI4yqiTaMaq5NU1cEGKdMgxKaN0Iz4ur8OsLBcCMqZ0rOK0Er5zRpygP0ZtM3j_052jTI1idjw_oy_ZgkawQFLuh_Ic1_zBgrM3z1AF73Y-zyIyQlJWdlRdbocINM7FOK1sll9K2KK0lAroOTOTh5F1y2L7cNR93a-U5uk8rg9RaolENwUXXGp51rCGcVYdkdb9wvH-zq3xPl-4vZ39HF5oRPg729P6HiD8l4yWv5bXompx8-f_8CNZPn5R94GL5R</recordid><startdate>20061105</startdate><enddate>20061105</enddate><creator>Dubey, Hitesh</creator><creator>Das, Sarit Kumar</creator><creator>Panda, Tapobrata</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20061105</creationdate><title>Numerical simulation of a fully baffled biological reactor: The differential circumferential averaging mixing plane approach</title><author>Dubey, Hitesh ; Das, Sarit Kumar ; Panda, Tapobrata</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4490-559c9ca51bc62b7bc854106726b0a9b789b61f5007170c7c94fc3774924ffb183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>biochemical reactor</topic><topic>Biological and medical sciences</topic><topic>Bioreactors</topic><topic>Biotechnology</topic><topic>CFD</topic><topic>Comparative analysis</topic><topic>Equipment Design - instrumentation</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>impeller modeling</topic><topic>k-ε turbulence model</topic><topic>mixing plane approach</topic><topic>Models, Theoretical</topic><topic>Reactors</topic><topic>Rheology - methods</topic><topic>Rushton turbine</topic><topic>Simulation</topic><topic>Turbulence models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dubey, Hitesh</creatorcontrib><creatorcontrib>Das, Sarit Kumar</creatorcontrib><creatorcontrib>Panda, Tapobrata</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Biotechnology and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dubey, Hitesh</au><au>Das, Sarit Kumar</au><au>Panda, Tapobrata</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical simulation of a fully baffled biological reactor: The differential circumferential averaging mixing plane approach</atitle><jtitle>Biotechnology and bioengineering</jtitle><addtitle>Biotechnol. Bioeng</addtitle><date>2006-11-05</date><risdate>2006</risdate><volume>95</volume><issue>4</issue><spage>754</spage><epage>766</epage><pages>754-766</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><coden>BIBIAU</coden><abstract>A modified mixing plane approach for steady state simulation of flow field in fully baffled biological reactor is presented and discussed. Without requiring any experimental input, this approach of dividing the vessel into suitable number of connected and disconnected zones; solving steady state equation separately in each zone and then transferring information between them, provides a computationally less intensive alternative for simulating the flow in the whole vessel. Impeller used is the standard Rushton Turbine positioned at mid‐height of the reactor and simulations are carried out using standard k‐ε turbulence model implemented in CFD code FLUENT. Meshing is done using tetrahedral elements such that mesh size gradually increases from the center to the periphery. Most of the previous simulation works present only a few aspects of the flow field with scant importance to the energy balance in the tank and near tip turbulence. In this work, complete model prediction for velocity field and turbulence parameters (near tip and in the bulk region) are validated by comparison with experimental data. As compared to previous simulation works, the results predicted by this “Differential circumferential averaging mixing plane approach” show a better qualitative and quantitative agreement with the published experimental data. A distribution of energy dissipation in various zones of vessel is presented. Also a qualitative picture of flow field and stagnant zones inside the reactor is presented and discussed. Comparison of flow characteristics for different number of baffles shows that for the present dimension of the vessel, five baffles gives maximum enhanced mixing. © 2006 Wiley Periodicals, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>16767780</pmid><doi>10.1002/bit.21030</doi><tpages>13</tpages></addata></record> |
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subjects | biochemical reactor Biological and medical sciences Bioreactors Biotechnology CFD Comparative analysis Equipment Design - instrumentation Fundamental and applied biological sciences. Psychology impeller modeling k-ε turbulence model mixing plane approach Models, Theoretical Reactors Rheology - methods Rushton turbine Simulation Turbulence models |
title | Numerical simulation of a fully baffled biological reactor: The differential circumferential averaging mixing plane approach |
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