Prediction of gas cavities size and structure and their effect on the power consumption in a gas-liquid stirred tank by means of a two-fluid RANS model. (21st September 2021)
- Record Type:
- Journal Article
- Title:
- Prediction of gas cavities size and structure and their effect on the power consumption in a gas-liquid stirred tank by means of a two-fluid RANS model. (21st September 2021)
- Main Title:
- Prediction of gas cavities size and structure and their effect on the power consumption in a gas-liquid stirred tank by means of a two-fluid RANS model
- Authors:
- Maluta, Francesco
Paglianti, Alessandro
Montante, Giuseppina - Abstract:
- Graphical abstract: Highlights: A fully predictive CFD model is presented to obtain different gas cavity structures. Transition between vortex-clinging and small '3-3′ cavities captured by the model. For the first time small '3-3′ cavities are obtained with a steady approach. The prediction of cavity structure, size and impeller power reduction are validated. Influence of the bubble size on the cavity prediction is analyzed and quantified. A novel interpretation of the power reduction and cavity formation is proposed. Abstract: Aerated cavities behind the impeller blades in stirred tanks affect the power transferred to the liquid that in turns affects heat and mass transfer, thus the development of fully predictive simulation methods to detect the formation of cavities, their size and structures is of paramount importance for an effective simulation of aerated reactors and bioreactors. In this work, operating conditions corresponding to different cavity structures are investigated by means of a Reynolds averaged two-fluid model without adjustable parameters. Based on the comparison with previous experiments and correlations, the method proved to be reliable in the prediction of the transition between vortex-clinging and small '3-3′ cavities, cavity size and power drawn reduction. For the first time, small '3-3′ cavities with volume fractions close to unity are obtained with a steady approach. The power reduction mechanism is observed and a novel interpretation of theGraphical abstract: Highlights: A fully predictive CFD model is presented to obtain different gas cavity structures. Transition between vortex-clinging and small '3-3′ cavities captured by the model. For the first time small '3-3′ cavities are obtained with a steady approach. The prediction of cavity structure, size and impeller power reduction are validated. Influence of the bubble size on the cavity prediction is analyzed and quantified. A novel interpretation of the power reduction and cavity formation is proposed. Abstract: Aerated cavities behind the impeller blades in stirred tanks affect the power transferred to the liquid that in turns affects heat and mass transfer, thus the development of fully predictive simulation methods to detect the formation of cavities, their size and structures is of paramount importance for an effective simulation of aerated reactors and bioreactors. In this work, operating conditions corresponding to different cavity structures are investigated by means of a Reynolds averaged two-fluid model without adjustable parameters. Based on the comparison with previous experiments and correlations, the method proved to be reliable in the prediction of the transition between vortex-clinging and small '3-3′ cavities, cavity size and power drawn reduction. For the first time, small '3-3′ cavities with volume fractions close to unity are obtained with a steady approach. The power reduction mechanism is observed and a novel interpretation of the formation of the asymmetrical cavities is proposed. … (more)
- Is Part Of:
- Chemical engineering science. Volume 241(2021)
- Journal:
- Chemical engineering science
- Issue:
- Volume 241(2021)
- Issue Display:
- Volume 241, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 241
- Issue:
- 2021
- Issue Sort Value:
- 2021-0241-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09-21
- Subjects:
- CFD -- Gas cavity -- Relative Power Demand -- Aerated power consumption -- Stirred bioreactors
Chemical engineering -- Periodicals
Génie chimique -- Périodiques
Chemical engineering
Periodicals
Electronic journals
660 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00092509 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ces.2021.116677 ↗
- Languages:
- English
- ISSNs:
- 0009-2509
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3146.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17004.xml