CFD-aided population balance modeling of a spray drying process

[Display omitted] •Reduced order model of co-current spray drying process using height discretization.•2-D population balances describe drying and solidification of droplets.•Validation by pilot scale spray dryer experiments.•CFD simulation of pilot and production scale spray dryers.•Incorporation o...

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Veröffentlicht in:Advanced powder technology : the international journal of the Society of Powder Technology, Japan Japan, 2022-07, Vol.33 (7), p.103636, Article 103636
Hauptverfasser: Buchholz, Moritz, Haus, Johannes, Pietsch-Braune, Swantje, Kleine Jäger, Frank, Heinrich, Stefan
Format: Artikel
Sprache:eng
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Zusammenfassung:[Display omitted] •Reduced order model of co-current spray drying process using height discretization.•2-D population balances describe drying and solidification of droplets.•Validation by pilot scale spray dryer experiments.•CFD simulation of pilot and production scale spray dryers.•Incorporation of drop movement data to reduced order model to increase accuracy. Due to the widespread application of spray dryers, the model-based optimization and control of the process are of great interest. Therefore, a reduced order model based on a population balance approach for the spray drying process is developed to accurately capture the shrinkage and drying mechanisms. The population balances describe the two-dimensional distribution of the moisture content and the granule size. The model is validated by experiments in a pilot scale spray dryer. Information from CFD simulations and previous single droplet experiments are used to determine suitable model parameters. The results show a good agreement of the model with experimental findings and promote the suitability of the population balance approach. Furthermore, a novel method of extracting information on the trajectories from detailed CFD simulations and inserting them into the reduced order model is presented. This increases the accuracy of the model without changing the computational complexity.
ISSN:0921-8831
1568-5527
DOI:10.1016/j.apt.2022.103636