https://ejournals.vdu.lt/index.php/ae/issue/feed Agricultural Engineering 2025-04-15T15:28:56+03:00 Juozas Padgurskas juozas.padgurskas@vdu.lt Open Journal Systems <p><strong>eISSN</strong> 2345–0371, <strong>ISSN</strong> 1392–1134, <strong>DOI </strong><a href="https://doi.org/10.15544/ageng" target="_blank" rel="noopener">10.15544/ageng</a><br /><strong>First Published:</strong> 1995–<br /><strong>Frequency:</strong> Yearly<br /><strong>Languages:</strong> English<br /><strong>Subjects:</strong> Technologies of Crops Cultivation, Transport and Power Machinery Engineering, Technologies of Animal Husbandry, Technologies of Alternatyve Fuels and Green Energy, Agricultural Machinery Engineering, Production Storage Technologies, Water Management, Agricultural Safety<br /><strong>Fees:</strong> No Publication Fees<br /><strong>Open Access:</strong> CC BY NC SA</p> https://ejournals.vdu.lt/index.php/ae/article/view/7188 MODELING OF AIRFLOW DISTRIBUTION IN A STATIONARY POROUS BULK 2025-04-02T10:11:55+03:00 Dovydas Arlauskas dovydas.arlauskas1@stud.vdu.lt Egidijus Zvicevičius egidijus.zvicevicius@vdu.lt Karolis Paskačimas karolis.paskacimas@stud.vdu.lt <p><em>&nbsp;</em>This paper investigates the airflow distribution in a stationary porous grain bulk. The aim of the study was to develop a mathematical model for a ventilated stationary porous layer, analyze airflow dispersion, and compare the results of CFD (Computational Fluid Dynamics) simulations with experimental data. The modeling was performed using SolidWorks software, while experimental measurements were conducted in a specially designed test stand. To assess the accuracy of the developed model, a statistical analysis was carried out using an independent two-sample t-test and Fisher's criterion. The experimental and simulation results showed strong agreement, with no statistically significant difference detected between their variances (p &lt; 0.05). The findings confirm that the developed mathematical model accurately represents airflow behavior in the stationary porous grain bulk. The simulation results allow for a more detailed visualization of airflow distribution, identifying zones of excessive flow and stagnation. These insights contribute to optimizing ventilation system efficiency, reducing energy consumption, and improving grain storage conditions.</p> 2025-04-15T00:00:00+03:00 Copyright (c) 2025 Agricultural Engineering