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InProceedings
2021
Experimental analysis and CFD-based modeling of grain bulk drying dynamics
Experimental analysis and CFD-based modeling of grain bulk drying dynamics
Abstract (English)
Drying is of great importance in the postharvest processing of agricultural commodities. It refers to the removal of the surplus moisture responsible for biochemical, microbiological, and other moisture-related deteriorative reactions, thereby ensuring quality preservation. However, drying is an intricate process comprising simultaneous heat and moisture transfers, which depends on product and drying air conditions. Therefore, drying practices are oftentimes misused, resulting in serious degradation of product quality. For this reason, modeling can be used to provide a deeper understanding of air-product interactions and to gain insights into drying process. Thus, this study focused on developing a CFD systematic approach to model the drying dynamics of wheat bulk (Pionier A, DSV AG) under controlled conditions. Within the model framework, a porous medium approach with tailored user-defined functions was utilized to represent the grain bulk characteristics. The drying experiments were performed using a high-precision and automated through-flow laboratory dryer. A coherent set of drying air temperatures T = 10 - 50°C, relative humidity RH = 20 - 60% and airflow velocity v = 0.15 - 1.00 ms-1 were employed for model validation. Afterwards, the validated computational model was used to predict the drying performance at T = 40°C, RH = 40% and v = 0.15 ms-1, where the simulated temperature and moisture content agreed very well with the experimental results (R2 ≥ 0.98 and MAPE ≤ 14.93%). The proposed model proved to be an efficient tool capable of simulating temperature and moisture dynamics inside the grain bulk with high spatial and temporal resolution, providing rapid and in-depth information compared to laborious physical experiments. In conclusion, the CFD-based approach has demonstrated a great potential for simulating drying processes. Its capabilities should be further assessed across various drying technologies, operating conditions, and agricultural commodities.
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Konferenz: Tropentag 2021
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Ramaj, I., Schock, S., & Müller, J. (2021). Experimental analysis and CFD-based modeling of grain bulk drying dynamics. https://doi.org/10.60848/13993
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English
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@inproceedings{Ramaj2021,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/19065},
author = {Ramaj, Iris and Schock, Steffen and Müller, Joachim et al.},
title = {Experimental analysis and CFD-based modeling of grain bulk drying dynamics},
year = {2021},
}