Abstract
This work describes a detailed phenomenological-based semi-physical model (PBSM) for a co-current spray drying tower used for maltodextrin drying. The model is useful for process optimization and control. This model differs from previously published models by using an alternative numerical methodology, reducing the loss of information. The droplets hydrodynamics, particles, and air are modeled along with heat and mass transfer, combining the movement of the macroscopic phase and transfer phenomena at a lower scale (droplet and particle). The model is a tool to analyze drying mechanisms and processes dynamically, considering the axial changes but using a simple algorithm structure. The advantages of the model are demonstrated by comparing its results with published data. The modeled dynamics are compared to similar system experimental data, obtaining reasonable and expected outcomes. The steady-state obtained is compared with reported data from a computational fluid dynamics (CFD) model for a co-current spray drying tower.
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Gonzalez-Gallego, S., López, S. & Alvarez, H. A phenomenological-based model for a spray drying tower. Braz. J. Chem. Eng. 41, 163–178 (2024). https://doi.org/10.1007/s43153-023-00323-0
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DOI: https://doi.org/10.1007/s43153-023-00323-0