Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/85263
Title: | Estimation of the dominant size enlargement mechanism in spray fluidized bed processes |
Author(s): | Rieck, Christian Bück, Andreas Tsotsas, Evangelos |
Issue Date: | 2020 |
Type: | Article |
Language: | English |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-872159 |
Subjects: | Agglomeration Layering Size enlargement mechanism Spray fluidized bed |
Abstract: | This work deals with estimating the dominant size enlargement mechanism in spray fluidized beds. A new process model is presented, which consists of population balances and a heat- and mass-transfer model. New methods to incorporate the wet surface fraction and the Stokes criterion are proposed, which allow for the probability of wet collisions and the probability of successful wet collisions to be calculated. The product of these parameters, the probability of successful collisions, is linked to the dominant size enlargement mechanism. Simulation studies were performed to investigate the influence of inlet gas temperature, viscosity, droplet size, and contact angle on the probability of successful collisions. Further simulation results based on experiments available in literature suggest that exceeding a probability of successful collisions of 0.001 is sufficient for agglomeration to become dominant. Otherwise, layering will be the dominant size enlargement mechanism. Finally, regime maps of layering and agglomeration are constructed. |
URI: | https://opendata.uni-halle.de//handle/1981185920/87215 http://dx.doi.org/10.25673/85263 |
Open Access: | Open access publication |
License: | (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0 |
Sponsor/Funder: | Projekt DEAL 2020 |
Journal Title: | AIChE journal |
Publisher: | Wiley |
Publisher Place: | Hoboken, NJ |
Volume: | 66 |
Issue: | 5 |
Original Publication: | 10.1002/aic.16920 |
Page Start: | 1 |
Page End: | 18 |
Appears in Collections: | Fakultät für Verfahrens- und Systemtechnik (OA) |
Files in This Item:
File | Description | Size | Format | |
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Rieck et al._Estimation _2020.pdf | Zweitveröffentlichung | 1.91 MB | Adobe PDF | View/Open |