CPFD modeling and experimental validation of gas–solid flow in a down flow reactor. (12th July 2016)
- Record Type:
- Journal Article
- Title:
- CPFD modeling and experimental validation of gas–solid flow in a down flow reactor. (12th July 2016)
- Main Title:
- CPFD modeling and experimental validation of gas–solid flow in a down flow reactor
- Authors:
- Lanza, A.
Islam, M.A.
de Lasa, H. - Abstract:
- Graphical abstract: Highlights: We studied gas–solid fluid dynamics in the developed region of a downer unit. We simulated particle–fluid flow using CPFD Barracuda software. We considered a random particle selection for cluster formation in the CPFD model. We studied cluster size distributions for a CPFD model with experimental data. We validated the computational model using a wide range of operating conditions. Abstract: This manuscript reports the fluid dynamics in the developed flow region of a cocurrent gas–solid down flow fluidized bed unit. Gas–solid flows are simulated using a Computational Particle Fluid Dynamics (CPFD) numerical scheme and experimental data from the CREC-GS-Optiprobes. This model represents clusters in a downer unit. It is hypothesized that in downers, clusters are formed via a Random Particle-Selection Method (RPSM) ensuring cluster dynamic stability. To accomplish this, a statistical particle-selection of clusters (SPSC) method is developed. This hybrid model is validated with experimental data obtained in a 2 m height and 2.57 cm diameter column. Observed time-averaged axial and radial velocities and solid concentration profiles are successfully simulated by the Hybrid CPFD / CREC - GS - Optiprobes Data Model . These findings support: (a) a narrow distribution of particle cluster residences, (b) the relatively flat radial solid concentrations and solid cluster velocities, and (c) a valuable approach for establishing slip velocities in downerGraphical abstract: Highlights: We studied gas–solid fluid dynamics in the developed region of a downer unit. We simulated particle–fluid flow using CPFD Barracuda software. We considered a random particle selection for cluster formation in the CPFD model. We studied cluster size distributions for a CPFD model with experimental data. We validated the computational model using a wide range of operating conditions. Abstract: This manuscript reports the fluid dynamics in the developed flow region of a cocurrent gas–solid down flow fluidized bed unit. Gas–solid flows are simulated using a Computational Particle Fluid Dynamics (CPFD) numerical scheme and experimental data from the CREC-GS-Optiprobes. This model represents clusters in a downer unit. It is hypothesized that in downers, clusters are formed via a Random Particle-Selection Method (RPSM) ensuring cluster dynamic stability. To accomplish this, a statistical particle-selection of clusters (SPSC) method is developed. This hybrid model is validated with experimental data obtained in a 2 m height and 2.57 cm diameter column. Observed time-averaged axial and radial velocities and solid concentration profiles are successfully simulated by the Hybrid CPFD / CREC - GS - Optiprobes Data Model . These findings support: (a) a narrow distribution of particle cluster residences, (b) the relatively flat radial solid concentrations and solid cluster velocities, and (c) a valuable approach for establishing slip velocities in downer units. … (more)
- Is Part Of:
- Computers & chemical engineering. Volume 90(2016)
- Journal:
- Computers & chemical engineering
- Issue:
- Volume 90(2016)
- Issue Display:
- Volume 90, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 90
- Issue:
- 2016
- Issue Sort Value:
- 2016-0090-2016-0000
- Page Start:
- 79
- Page End:
- 93
- Publication Date:
- 2016-07-12
- Subjects:
- Fluidized downer unit -- Computational Particle Fluid Dynamics -- Particle clusters
Chemical engineering -- Data processing -- Periodicals
660.0285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00981354 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compchemeng.2016.04.007 ↗
- Languages:
- English
- ISSNs:
- 0098-1354
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.664000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1796.xml