Preprint Article Version 1 This version is not peer-reviewed

Modeling Polymer Microencapsulation Processes using CFD and Population Balance Models

Version 1 : Received: 7 August 2024 / Approved: 7 August 2024 / Online: 7 August 2024 (14:11:11 CEST)

How to cite: Qizilbash, M.; Del Valle, L. J.; Guardo Zabaleta, A. Modeling Polymer Microencapsulation Processes using CFD and Population Balance Models. Preprints 2024, 2024080534. https://doi.org/10.20944/preprints202408.0534.v1 Qizilbash, M.; Del Valle, L. J.; Guardo Zabaleta, A. Modeling Polymer Microencapsulation Processes using CFD and Population Balance Models. Preprints 2024, 2024080534. https://doi.org/10.20944/preprints202408.0534.v1

Abstract

Computational fluid dynamics (CFD) modeling has emerged as a valuable tool for investigating complex processes like microencapsulation. This paper aims to validate the ability of CFD simula-tions to predict particle size distribution in a polymer microencapsulation process. The CFD mod-eling approach employed an Eulerian multiphase framework, incorporating a discrete population balance model to track the evolution of the droplet population. A realizable k-ε turbulence model and a multiple reference frame strategy were utilized to capture the system’s flow dynamics. The results reveal that while the CFD simulations align well with experimental data at higher agitation speeds (>10000 rpm), discrepancies arise at lower speeds (

Keywords

Computational Fluid Dynamics; Microencapsulation; population balance model; turbulent flow; mixing

Subject

Engineering, Chemical Engineering

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