Computational modeling of a mass transfer measuring device
DOI:
https://doi.org/10.18687/LACCEI2026.1.1.1282Palabras clave:
CFD, biomass, dryer, transientResumen
This article presents a Computational Fluid Dynamics (CFD) model of a mass‐transfer measurement device designed to characterise biomass properties using Fick’s second law of diffusion, enabling the experimental determination of drying kinetics. The developed numerical model describes the device operation under vacuum conditions and incorporates the Ergun equation to represent the effect of the internal mesh filter. Model predictions were validated against experimental measurements performed with the device for different mesh sizes, yielding discrepancies of less than 1% in mass flow rate and below 7% in outlet air velocity. This validation supports the use of the model to assess alternative device geometries prior to fabrication and to extend the simulations to include biomass properties inside the internal containers, in order to analyse the influence of mass diffusion on the drying process.Descargas
Publicado
2026-07-27
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Derechos de autor 2026 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Chavez, W., Delgado-Plaza, E., Leon-Moreira, D., & Paredes, R. (2026). Computational modeling of a mass transfer measuring device. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.1282