کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8055009 | 1519510 | 2016 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
CFD modeling of air flow distribution in rice bin storage system with different grain mass configurations
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: CFD modeling of air flow distribution in rice bin storage system with different grain mass configurations CFD modeling of air flow distribution in rice bin storage system with different grain mass configurations](/preview/png/8055009.png)
چکیده انگلیسی
Poor airflow distribution in grain mass during in-bin aeration, drying and storage may lead to moisture content variations that could be detrimental to grain quality. The effects of grain mass configuration and porosity on airflow distribution inside a rice bin were investigated using three-dimensional computational fluid dynamics simulations and experiments. A finite volume method with porous media formulation was used to simulate air flow characteristics in peaked, inverted, and levelled grain mass configurations for long-grain rough rice with a porosity of 0.55, and mean particle size distribution of 2.94 mm. The airflows through the rough rice masses were simulated for airflow rates of 0.55, 0.825 and 1.1 m3 minâ1[air] tâ1 [rice]. The model was validated using a bench scale pressure drop system and an actual long-grain rice in-bin storage with peaked grain mass configuration having a capacity of 700 Mt. The results showed that long-grain rice has viscous and inertial resistance coefficients of 9.72E+06 and 36,185, respectively. Non-uniform airflow distribution dominated peaked and inverted grain mass configurations with peaked configuration having the highest restriction to airflow. Airflow at peak positions in the bed were significantly (p < 0.05) lower compared to other parts. The average non-uniformity coefficient (NUF) measured directly from the bin was 34% and those obtained from the model using constant and variable porosities were 19% and 71%, respectively. For inverted scenario, a maximum of 50 t of rice is needed to be removed from the rice storage bin to ensure an airflow distribution with an NUF <50%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 151, November 2016, Pages 286-297
Journal: Biosystems Engineering - Volume 151, November 2016, Pages 286-297
نویسندگان
Gbenga Olatunde, Griffiths G. Atungulu, Sammy Sadaka,