Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD
Liquid-phase dispersion in a continuous flow bubble column was studied using computational fluid dynamics (CFD) and different combinations of turbulence and biphasic models. The results were compared with the experimental data obtained by the stimulus-response method in an air-water pilot-scale bubb...
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MDPI AG
2023-08-01
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| author | Juan José Gallardo-Rodríguez Javier Velasco-Amate Erika Lorenzo-Horcajo Lorenzo López-Rosales Yusuf Chisti Francine Battaglia Asterio Sánchez-Mirón Francisco García-Camacho |
| author_facet | Juan José Gallardo-Rodríguez Javier Velasco-Amate Erika Lorenzo-Horcajo Lorenzo López-Rosales Yusuf Chisti Francine Battaglia Asterio Sánchez-Mirón Francisco García-Camacho |
| author_sort | Juan José Gallardo-Rodríguez |
| collection | DOAJ |
| description | Liquid-phase dispersion in a continuous flow bubble column was studied using computational fluid dynamics (CFD) and different combinations of turbulence and biphasic models. The results were compared with the experimental data obtained by the stimulus-response method in an air-water pilot-scale bubble column (2 m tall, 0.234 m internal diameter). Two flow combinations were examined: high flow rates of 3.2 m<sup>3</sup> h<sup>−1</sup> and 4.5 m<sup>3</sup> h<sup>−1</sup> and low flow rates of 1.98 m<sup>3</sup> h<sup>−1</sup> and 0.954 m<sup>3</sup> h<sup>−1</sup> for water and air, respectively. The objective was to evaluate commercial CFD 16.1 software to predict flow behavior beyond macroscale parameters such as hold-up or mixing time. The turbulence models that best replicated the experimental tracer dispersion were large eddy simulation-type models: scale-adaptive simulation (SAS) and shear stress transport-SAS. The simulations qualitatively predicted the tracer concentration with time but were unable to reveal the small-scale perturbations in the biphasic system. The predicted tracer residence time was double or triple the measured times for low and high flow, respectively. |
| first_indexed | 2024-03-11T00:09:22Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:09:22Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2d6a8f507b7e4294aaeab09bda2284832023-11-19T00:06:48ZengMDPI AGApplied Sciences2076-34172023-08-011316925010.3390/app13169250Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFDJuan José Gallardo-Rodríguez0Javier Velasco-Amate1Erika Lorenzo-Horcajo2Lorenzo López-Rosales3Yusuf Chisti4Francine Battaglia5Asterio Sánchez-Mirón6Francisco García-Camacho7Department of Chemical Engineering, University of Almería, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, 04120 Almería, SpainInstitute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, MalaysiaDepartment of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USADepartment of Chemical Engineering, University of Almería, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, 04120 Almería, SpainLiquid-phase dispersion in a continuous flow bubble column was studied using computational fluid dynamics (CFD) and different combinations of turbulence and biphasic models. The results were compared with the experimental data obtained by the stimulus-response method in an air-water pilot-scale bubble column (2 m tall, 0.234 m internal diameter). Two flow combinations were examined: high flow rates of 3.2 m<sup>3</sup> h<sup>−1</sup> and 4.5 m<sup>3</sup> h<sup>−1</sup> and low flow rates of 1.98 m<sup>3</sup> h<sup>−1</sup> and 0.954 m<sup>3</sup> h<sup>−1</sup> for water and air, respectively. The objective was to evaluate commercial CFD 16.1 software to predict flow behavior beyond macroscale parameters such as hold-up or mixing time. The turbulence models that best replicated the experimental tracer dispersion were large eddy simulation-type models: scale-adaptive simulation (SAS) and shear stress transport-SAS. The simulations qualitatively predicted the tracer concentration with time but were unable to reveal the small-scale perturbations in the biphasic system. The predicted tracer residence time was double or triple the measured times for low and high flow, respectively.https://www.mdpi.com/2076-3417/13/16/9250computations fluid dynamics (CFD)bubble columnliquid-phase dispersionturbulence modelsANSYS Fluent |
| spellingShingle | Juan José Gallardo-Rodríguez Javier Velasco-Amate Erika Lorenzo-Horcajo Lorenzo López-Rosales Yusuf Chisti Francine Battaglia Asterio Sánchez-Mirón Francisco García-Camacho Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD Applied Sciences computations fluid dynamics (CFD) bubble column liquid-phase dispersion turbulence models ANSYS Fluent |
| title | Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD |
| title_full | Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD |
| title_fullStr | Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD |
| title_full_unstemmed | Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD |
| title_short | Current Limitations for Predicting Liquid Dispersion in Continuous Flow Bubble Columns Using CFD |
| title_sort | current limitations for predicting liquid dispersion in continuous flow bubble columns using cfd |
| topic | computations fluid dynamics (CFD) bubble column liquid-phase dispersion turbulence models ANSYS Fluent |
| url | https://www.mdpi.com/2076-3417/13/16/9250 |
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