2026-04-13T02:46:47Zhttps://recercat.cat/oai/request
oai:recercat.cat:2117/4153012026-02-07T11:44:36Zcom_2072_1033col_2072_452950
RECERCAT author Qizilbash, Masooma author Valle Mendoza, Luis Javier del author Guardo Zabaleta, Alfredo de Jesús 2024-09-03 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 simulations to predict particle size distribution in a polymer microencapsulation process. The CFD modeling approach employed a Eulerian multiphase framework, incorporating a discrete population balance model to track the evolution of the droplet population. A realizable k-e 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 (>10,000 rpm), discrepancies arise at lower speeds (<7500 rpm), indicating a challenge in accurately capturing turbulent viscous regimes. Despite these challenges, the CFD model demonstrates robust predictive capabilities for droplet formation and distribution in microencapsulation processes, validated by error margins within the acceptable limits. The validated model can be used as a reliable tool to guide experimental efforts and optimize process parameters, contributing to an enhanced understanding and control of microencapsulation processes.Peer ReviewedObjectius de Desenvolupament Sostenible::12 - Producció i Consum ResponsablesPostprint (published version) http://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International Àrees temàtiques de la UPC::Enginyeria química Àrees temàtiques de la UPC::Enginyeria dels materials Computational fluid dynamics Microencapsulation Cumulative probability distribution Population balance models Number density Modeling polymer microencapsulation processes using CFD and population balance models Article