Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2962
Publisher DOI: 10.1016/j.partic.2018.01.008
Title: Simulation of spray coating in a spouted bed using recurrence CFD
Language: English
Authors: Kieckhefen, Paul  
Lichtenegger, Thomas 
Pietsch, Swantje  
Pirker, Stefan 
Heinrich, Stefan 
Keywords: CFD-DEM;Recurrence CFD;Spray coating;Time-scale decoupling;Spouted bed;Draft plates
Issue Date: 25-Jun-2018
Publisher: Elsevier
Journal or Series Name: Particuology 
Abstract (english): Although numerical models such as the computational fluid dynamics–discrete element method(CFD–DEM) have enabled the accurate simulation of laboratory-scale apparatuses, the application ofthese methods to large-scale apparatuses with many particles and time scales ranging from minutes tohours remains a challenge. The recently developed recurrence CFD (rCFD) method seeks to overcomethese issues in pseudo-periodic processes by extrapolating globally recurring patterns in a physicallymeaningful way and describing the transport and interaction of passive scalars using Lagrangian tracers.Spouted beds represent an interesting target because of the associated variety of flow regimes. They canbe effectively described by CFD–DEM on the time scale of tens of seconds, whereas industrially relevantprocesses typically take hours. In this contribution, we established the validity of applying the LagrangianrCFD method to spouted beds by demonstrating the accurate reproduction of the particle residence timedistribution in a fictitious spray zone. The deposition of spray droplets onto tracer particles was simulatedfor 1 h, and the particle surface coverage distribution was estimated using a statistical approach for bothan unstabilized prismatic spouted bed and one stabilized by draft plates.
URI: http://hdl.handle.net/11420/7477
DOI: 10.15480/882.2962
ISSN: 1674-2001
Institute: Feststoffverfahrenstechnik und Partikeltechnologie V-3 
Type: (wissenschaftlicher) Artikel
Funded by: Linz Instituteof Technology (LIT)
Johannes Kepler University (project LIT-2016-1-YOU-007)
BASF SE
License: CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives) CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)
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