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Modelling of bubble breakage and coalescence in stirred and sparged bioreactor using the Euler-Lagrange approach

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F22%3A43925038" target="_blank" >RIV/60461373:22340/22:43925038 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0017931022009358?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0017931022009358?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijheatmasstransfer.2022.123466" target="_blank" >10.1016/j.ijheatmasstransfer.2022.123466</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Modelling of bubble breakage and coalescence in stirred and sparged bioreactor using the Euler-Lagrange approach

  • Popis výsledku v původním jazyce

    Gas-liquid systems are commonly used in industry to carry out biochemical reactions. Such process must be carried out to ensure sufficient mass transfer while there is no damage to the living cells/microorganisms. This is given mainly by the bubble size distribution (BSD) and process parameters such as the impeller speed and gas sparging rate. The correct prediction of BSD is crucial to choosing the optimal process parameters and meeting the requirements of a given culture. This work aimed to use computational fluid dynamics (CFD) to predict the breakage and coalescence of individual bubbles and therefore to predict the whole BSD under broad range of process parameters. The gas-liquid system of the stirred and sparged bioreactor was modelled utilizing the Euler-Lagrange (EL) approach. The continuous phase was modelled as a 3D time-dependent problem using the Reynolds-averaged Navier-Stokes (RANS) method with a realizable k-ε model for the description of turbulence. The motion of discrete Lagrangian bubbles was tracked by Newton&apos;s equation of motion. Both the breakage and coalescence of individual bubbles were implemented. For bubble coalescence, the model developed by Prince and Blanch and further modified by Sommerfeld and Sungkorn for use in the Lagrangian approach to bubbles was used. For breakup, a model developed by Martínez-Bazán was used. There, the effect of daughter distribution function (DDF) on the resulting gas dispersion was studied. Experiments and simulations were performed in the Minifors stirred and sparged bioreactor with a working volume of 3.5 L. The impeller speeds ranged from 200 to 500 rpm (corresponding to Reynolds number in the range from 10,889 to 27,222), while the gas feed rate was constant and reached a value of 1.2 L min–1. To validate the whole CFD model, we compared the BSDs obtained from the simulations against experimentally determined BSDs. There, for all cases, the simulations matched the experimental data relatively well. Subsequently, a general characterization of the system studied was performed in terms of the volumetric mass transfer coefficient (kLa) and the maximum hydrodynamic stress (τVS) to which the cell could be exposed. Also in this case, under all tested conditions, we achieved satisfactory agreement with experiments.

  • Název v anglickém jazyce

    Modelling of bubble breakage and coalescence in stirred and sparged bioreactor using the Euler-Lagrange approach

  • Popis výsledku anglicky

    Gas-liquid systems are commonly used in industry to carry out biochemical reactions. Such process must be carried out to ensure sufficient mass transfer while there is no damage to the living cells/microorganisms. This is given mainly by the bubble size distribution (BSD) and process parameters such as the impeller speed and gas sparging rate. The correct prediction of BSD is crucial to choosing the optimal process parameters and meeting the requirements of a given culture. This work aimed to use computational fluid dynamics (CFD) to predict the breakage and coalescence of individual bubbles and therefore to predict the whole BSD under broad range of process parameters. The gas-liquid system of the stirred and sparged bioreactor was modelled utilizing the Euler-Lagrange (EL) approach. The continuous phase was modelled as a 3D time-dependent problem using the Reynolds-averaged Navier-Stokes (RANS) method with a realizable k-ε model for the description of turbulence. The motion of discrete Lagrangian bubbles was tracked by Newton&apos;s equation of motion. Both the breakage and coalescence of individual bubbles were implemented. For bubble coalescence, the model developed by Prince and Blanch and further modified by Sommerfeld and Sungkorn for use in the Lagrangian approach to bubbles was used. For breakup, a model developed by Martínez-Bazán was used. There, the effect of daughter distribution function (DDF) on the resulting gas dispersion was studied. Experiments and simulations were performed in the Minifors stirred and sparged bioreactor with a working volume of 3.5 L. The impeller speeds ranged from 200 to 500 rpm (corresponding to Reynolds number in the range from 10,889 to 27,222), while the gas feed rate was constant and reached a value of 1.2 L min–1. To validate the whole CFD model, we compared the BSDs obtained from the simulations against experimentally determined BSDs. There, for all cases, the simulations matched the experimental data relatively well. Subsequently, a general characterization of the system studied was performed in terms of the volumetric mass transfer coefficient (kLa) and the maximum hydrodynamic stress (τVS) to which the cell could be exposed. Also in this case, under all tested conditions, we achieved satisfactory agreement with experiments.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20401 - Chemical engineering (plants, products)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    International Journal Heat Mass Transfer

  • ISSN

    0017-9310

  • e-ISSN

    1879-2189

  • Svazek periodika

    199

  • Číslo periodika v rámci svazku

    DEC 15 2022

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    9

  • Strana od-do

    123466

  • Kód UT WoS článku

    000863980300008

  • EID výsledku v databázi Scopus

    2-s2.0-85144012378