Evaluation of species transfer models in the cfd simulation of fixed bed soybean drying
DOI:
https://doi.org/10.25186/.v16i.1937Abstract
The drying is fundamental to the preservation of materials, particularly food, which is sensible to damaging related to moisture because of its hygroscopic nature. The drying increases the shelf life of these products and reduces their overall weight, which facilitates the logistics and aggregates value to the product. Computational Fluid Dynamics is a potentially facilitating tool for the analysis of drying variables, such as velocity, air temperature, and particle temperature, which have great influence on the drying rate. This work aimed at studying different numeric models for the simulation of a fixed bed drying operation, analyzing the influence of the equilibrium ratio and water diffusivity in the solid on the results. The computations were made in the software FLUENT 19.2, using the Multiphase Eulerian Granular Model with packed bed configuration and different mass transfer models: Constant, Species-Constant, Species-Sherwood, Ranz-Marshall, and Hughmark, as well as heat transfer models: Constant Heat Transfer Coefficient, Constant Nusselt Number, Ranz-Marshall, and Hughmark. The mass transfer models with the best performance were the Ranz-Marshall and Hughmark models. A strong influence of the equilibrium ratio was observed for both models, and a moderate influence of the water diffusivity. The influence of equilibrium ratio and water diffusivity was not observed for the other models. The heat transfer models did not present expressive difference, and the system reached thermal equilibrium quickly. The overall study of the models and the influence of different parameters was effective, and was able to document the obtained results for future optimization and further investigation of the numeric model.
Key words: Computational fluid dynamics; Diffusivity; Particle; Eulerian; Mass transfer.
References
ANSYS. Fluent User’s Guide and Theory Guide. Canonsburg: [s.n.], 2018. Available at: https://ansyshelp.ansys.com. Accessed on: October, 30, 2020.
AZADBAKHT, M. et al. Thermal properties of soybean pod as a function of moisture content and temperature. American journal of food science and technology, 1(2):9-13, 2013.
BERGMAN, T. L. et al. Introduction to heat transfer. Jefferson City: John Wiley & Sons, 2011. 960p.
CORADI, P. C. et al. Effects of drying air temperature and grain initial moisture content on soybean quality (Glycine max (L.) Merrill). Engenharia Agrícola, 36(1): 866-876, 2016.
CORADI, P. C. et al. Mathematical modeling of drying in a new concept of silo-dryer-aerator and the quality of soybean seeds (Glycine max (L.) Merrill). Journal of Agricultural Science and Technology B, 8(1):483-498, 2018.
CORADI, P. C.; LEMES, Â. F. C. Experimental prototype of silo-dryer-aerator of grains using Computational Fluid Dynamics (CFD) system. Acta Scientiarum. Technology, 41:e36949, 2019.
COSTA, F. O.; PERES, A. P.; PETRI JUNIOR, I. Simulation of hydrocyclones for evaluating the flow of non-Newtonian fluids. REVISTA DE ENGENHARIA E TECNOLOGIA, 13(1):1-12, 2021.
DESHPANDE, S. D.; BAL, S.; OJHA, T. P. Physical properties of soybean. Journal of Agricultural Engineering Research, 56(2):89-98, 1993.
GARCIA, D. C. et al. Seed drying. Ciência Rural, 34(2):603-608, 2004.
HUGHMARK G. A. T. I. Mass and heat transfer from rigid spheres. AIChE Journal, 13(6):1219-1221, 1967.
KLOSS, C. et al. Models, algorithms and validation for opensource DEM and CFD–DEM. Progress in Computational Fluid Dynamics, an International Journal, 12(2-3):140-152, 2012.
MADAMBA, P. S.; DRISCOLL, R. H.; BUCKLE, K. A. Thin-layer drying characteristics of garlic slices. Journal of Food Engineering, 29(1):75-97, 1996.
MATEUS, F. L. B.; PETRI, I. J.; Momentum and heat transfer prediction in a silo-dryer through computational fluid-dynamics. Coffee Science, 16:e161902, 2021.
MCCABE, W. L.; SMITH, J. C.; HARRIOTT, P. Unit operations of chemical engineering. New York: McGraw-hill, 1993. 175p.
RANZ, W. E.; MARSHALL, W. R. Evaporation from drops. Chemical Engineering Progress, 48(1):137-152, 1952.
REINATO, C. H. R. et al. Energy consumption and costs in coffee drying of agricultural properties from the south of Minas Gerais. Revista brasileira de engenharia agrícola e ambiental, 6(1):112-116, 2002.
STOPPE, A. C. R.; NETO, J. L. V.; DOS SANTOS, K. G. Development of a fixed bed solar dryer: experimental study and CFD simulation. Research, Society and Development, 9(3):e123932667, 2020.
SZAFRAN, R. G.; KMIEC, A. CFD modeling of heat and mass transfer in a spouted bed dryer. Industrial & engineering chemistry research, 43(4):1113-1124, 2004.
XIA, B.; SUN, D-W. Applications of computational fluid dynamics (CFD) in the food industry: a review. Computers and electronics in agriculture, 34(1-3):5-24, 2002.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Coffee Science - ISSN 1984-3909Os direitos autorais dos artigos publicados nesta revista pertencem aos autores, com os primeiros direitos de publicação pertencentes à revista. Como os artigos aparecem nesta revista com acesso aberto, eles podem ser usados livremente, com as devidas atribuições, em aplicativos educacionais e não comerciais.
