Numerical and experimental analysis of particle residence times in a continuously operated dual-chamber fluidized bed

Fluidized beds that consist of multiple chambers are used in various processes including granulation, drying or coating. As overly short or long particle residence times inside the vessel are undesirable, it is of high interest to measure and detect the influences of variations of the operational pa...

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Veröffentlicht in:Powder technology 2018-10, Vol.338, p.625-637
Hauptverfasser: Vollmari, K., Kruggel-Emden, H.
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description Fluidized beds that consist of multiple chambers are used in various processes including granulation, drying or coating. As overly short or long particle residence times inside the vessel are undesirable, it is of high interest to measure and detect the influences of variations of the operational parameters on the particle residence times so that they can be adjusted accordingly to gain narrow particle residence time distributions. For this purpose, an ultra-high frequency (UHF) radio frequency identification system (RFID) has been developed, that is able to detect multiple particles without a direct line-of-sight at different positions inside the vessel. Furthermore, coupled discrete element method (DEM)/computational fluid dynamics (CFD) simulations have been carried out to study a continuously operated laboratory scale dual-chamber fluidized bed. To examine the influences of operational and particle parameters 10 different variations have been evaluated both numerically and experimentally. Results show good agreement between simulation and experiment for most cases. The highest change of the residence times could be achieved by changing the particle mass inflow and the fluidization velocity. The results for non-spherical particles showed some deviations in the longer residence times, as certain particle/wall effects were not fully recreated in the simulation. Nonetheless, it was proven that coupled DEM-CFD simulations can be a useful tool in the prediction of residence time which can greatly help to optimize continuously operated fluidized processes. [Display omitted] •Particle residence times in a dual-chamber fluidized bed were investigated.•A radio frequency identification-system was developed and tested in experiments.•The DEM-CFD was used to simulate the process and obtain residence times numerically.•Results are in good agreement for most cases (e.g. mass inflow, fluid velocity, …).
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As overly short or long particle residence times inside the vessel are undesirable, it is of high interest to measure and detect the influences of variations of the operational parameters on the particle residence times so that they can be adjusted accordingly to gain narrow particle residence time distributions. For this purpose, an ultra-high frequency (UHF) radio frequency identification system (RFID) has been developed, that is able to detect multiple particles without a direct line-of-sight at different positions inside the vessel. Furthermore, coupled discrete element method (DEM)/computational fluid dynamics (CFD) simulations have been carried out to study a continuously operated laboratory scale dual-chamber fluidized bed. To examine the influences of operational and particle parameters 10 different variations have been evaluated both numerically and experimentally. Results show good agreement between simulation and experiment for most cases. The highest change of the residence times could be achieved by changing the particle mass inflow and the fluidization velocity. The results for non-spherical particles showed some deviations in the longer residence times, as certain particle/wall effects were not fully recreated in the simulation. Nonetheless, it was proven that coupled DEM-CFD simulations can be a useful tool in the prediction of residence time which can greatly help to optimize continuously operated fluidized processes. [Display omitted] •Particle residence times in a dual-chamber fluidized bed were investigated.•A radio frequency identification-system was developed and tested in experiments.•The DEM-CFD was used to simulate the process and obtain residence times numerically.•Results are in good agreement for most cases (e.g. mass inflow, fluid velocity, …).</description><identifier>ISSN: 0032-5910</identifier><identifier>EISSN: 1873-328X</identifier><identifier>DOI: 10.1016/j.powtec.2018.07.061</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>CFD ; Computational fluid dynamics ; Computer applications ; Computer simulation ; DEM (discrete element method) ; Discrete element method ; Drying ; Dual-chamber fluidized bed ; Fluid dynamics ; Fluidization ; Fluidized beds ; Granulation ; Hydrodynamics ; Inflow ; Non-spherical particles ; Numerical analysis ; Parameters ; Particle mass ; Particle physics ; Particle residence times ; Radio frequency identification ; RFID ; Very high frequencies ; Wall effects</subject><ispartof>Powder technology, 2018-10, Vol.338, p.625-637</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Oct 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-e76a094900545ebe9af01b9df9690833e1434e3f94a7fb05e7d6686a011c4ae33</citedby><cites>FETCH-LOGICAL-c371t-e76a094900545ebe9af01b9df9690833e1434e3f94a7fb05e7d6686a011c4ae33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0032591018305606$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Vollmari, K.</creatorcontrib><creatorcontrib>Kruggel-Emden, H.</creatorcontrib><title>Numerical and experimental analysis of particle residence times in a continuously operated dual-chamber fluidized bed</title><title>Powder technology</title><description>Fluidized beds that consist of multiple chambers are used in various processes including granulation, drying or coating. 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The highest change of the residence times could be achieved by changing the particle mass inflow and the fluidization velocity. The results for non-spherical particles showed some deviations in the longer residence times, as certain particle/wall effects were not fully recreated in the simulation. Nonetheless, it was proven that coupled DEM-CFD simulations can be a useful tool in the prediction of residence time which can greatly help to optimize continuously operated fluidized processes. [Display omitted] •Particle residence times in a dual-chamber fluidized bed were investigated.•A radio frequency identification-system was developed and tested in experiments.•The DEM-CFD was used to simulate the process and obtain residence times numerically.•Results are in good agreement for most cases (e.g. mass inflow, fluid velocity, …).</description><subject>CFD</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>DEM (discrete element method)</subject><subject>Discrete element method</subject><subject>Drying</subject><subject>Dual-chamber fluidized bed</subject><subject>Fluid dynamics</subject><subject>Fluidization</subject><subject>Fluidized beds</subject><subject>Granulation</subject><subject>Hydrodynamics</subject><subject>Inflow</subject><subject>Non-spherical particles</subject><subject>Numerical analysis</subject><subject>Parameters</subject><subject>Particle mass</subject><subject>Particle physics</subject><subject>Particle residence times</subject><subject>Radio frequency identification</subject><subject>RFID</subject><subject>Very high frequencies</subject><subject>Wall effects</subject><issn>0032-5910</issn><issn>1873-328X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOI7-AxcB1603TZ8bQQZfMOhGwV1Ik1tM6TQ1SdXx15txXLu63MM5B85HyDmDlAErL_t0sp8BVZoBq1OoUijZAVmwuuIJz-rXQ7IA4FlSNAyOyYn3PQCUnMGCzI_zBp1RcqBy1BS_pvhtcAy_ghy23nhqOzpJF4wakDr0RuOokIbo89SMVFJlx2DG2c5-2FIbK2RATfUsh0S9yU2LjnbDbLT5jnKL-pQcdXLwePZ3l-Tl9uZ5dZ-sn-4eVtfrRPGKhQSrUkKTNwBFXmCLjeyAtY3umrKBmnNkOc-Rd00uq66FAitdlnXMMKZyiZwvycW-d3L2fUYfRG9nF2d5kTGeZ1WW1UV05XuXctZ7h52YIgPptoKB2AEWvdgDFjvAAioRAcfY1T6GccGHQSe8Mjsy2jhUQWhr_i_4AZDgiCY</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Vollmari, K.</creator><creator>Kruggel-Emden, 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></search><sort><creationdate>20181001</creationdate><title>Numerical and experimental analysis of particle residence times in a continuously operated dual-chamber fluidized bed</title><author>Vollmari, K. ; Kruggel-Emden, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-e76a094900545ebe9af01b9df9690833e1434e3f94a7fb05e7d6686a011c4ae33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CFD</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>DEM (discrete element method)</topic><topic>Discrete element method</topic><topic>Drying</topic><topic>Dual-chamber fluidized bed</topic><topic>Fluid dynamics</topic><topic>Fluidization</topic><topic>Fluidized beds</topic><topic>Granulation</topic><topic>Hydrodynamics</topic><topic>Inflow</topic><topic>Non-spherical particles</topic><topic>Numerical analysis</topic><topic>Parameters</topic><topic>Particle mass</topic><topic>Particle physics</topic><topic>Particle residence times</topic><topic>Radio frequency identification</topic><topic>RFID</topic><topic>Very high frequencies</topic><topic>Wall effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vollmari, K.</creatorcontrib><creatorcontrib>Kruggel-Emden, 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>Vollmari, K.</au><au>Kruggel-Emden, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical and experimental analysis of particle residence times in a continuously operated dual-chamber fluidized bed</atitle><jtitle>Powder technology</jtitle><date>2018-10-01</date><risdate>2018</risdate><volume>338</volume><spage>625</spage><epage>637</epage><pages>625-637</pages><issn>0032-5910</issn><eissn>1873-328X</eissn><abstract>Fluidized beds that consist of multiple chambers are used in various processes including granulation, drying or coating. 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subjects CFD
Computational fluid dynamics
Computer applications
Computer simulation
DEM (discrete element method)
Discrete element method
Drying
Dual-chamber fluidized bed
Fluid dynamics
Fluidization
Fluidized beds
Granulation
Hydrodynamics
Inflow
Non-spherical particles
Numerical analysis
Parameters
Particle mass
Particle physics
Particle residence times
Radio frequency identification
RFID
Very high frequencies
Wall effects
title Numerical and experimental analysis of particle residence times in a continuously operated dual-chamber fluidized bed
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