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埃塞俄比亚新鲜农产品干燥过程中的传热传质建模与模拟

Modeling and simulation of heat and mass transfer in an Ethiopian fresh drying process.

作者信息

Solomon Alamrew B, Fanta Solomon W, Delele Mulugeta A, Vanierschot Maarten

机构信息

Department of Chemical Engineering, Kombolcha Institute of Technology, Wollo University, Ethiopia.

Faculty of Chemical and Food Engineering, Bahirdar Institute of Technology, Bahirdar University, Ethiopia.

出版信息

Heliyon. 2021 Feb 11;7(2):e06201. doi: 10.1016/j.heliyon.2021.e06201. eCollection 2021 Feb.

DOI:10.1016/j.heliyon.2021.e06201
PMID:33659738
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7892935/
Abstract

In this paper, we developed a mathematical model to simulate the heat and mass transfer during the convective drying of . The coupled set of heat and moisture partial differential equations (PDEs) were numerically solved by the finite element method (FEM) using COMSOL Multi-physics, 5.5. To validate the simulated results, drying experiments were performed using a tunnel dryer at two air temperatures (313.15 and 333.15 K) and velocities (0.25 and 0.5 ms). The predicted versus the experimental results showed a very good agreement with a coefficient of determination, for both temperature and moisture ratio and a Root Mean Square Error, RMSE < 0.05 for moisture ratio and <3.5 K for temperature. The predicted temperature and moisture ratio distributions of the at different times and positions (thickness and diameter) clearly showed the uniformity of drying. The time required to reduce the moisture ratio of from 1 (-) to 0.03 (-) at a temperature of 333.15 K, relative humidity of 11% and air velocity of 0.5 ms was 125 min. Both temperature and velocity have a significant effect on moisture reduction when drying was conducted (p < 0.05). The interaction effect between them also indicates a significant difference (p < 0.05) in the moisture removal rate of .

摘要

在本文中,我们建立了一个数学模型来模拟[具体物品]对流干燥过程中的传热传质。利用COMSOL多物理场软件5.5版,通过有限元方法(FEM)对热湿耦合偏微分方程(PDEs)进行了数值求解。为了验证模拟结果,在隧道干燥机中于两种空气温度(313.15和333.15 K)及两种风速(0.25和0.5 m/s)下进行了干燥实验。预测结果与实验结果显示出非常好的一致性,温度和含水率的决定系数[具体数值],含水率的均方根误差RMSE < 0.05,温度的均方根误差<3.5 K。[具体物品]在不同时间和位置(厚度和直径)的预测温度和含水率分布清楚地显示了干燥的均匀性。在温度为333.15 K、相对湿度为11%、风速为0.5 m/s的条件下,将[具体物品]的含水率从1(-)降至0.03(-)所需的时间为125分钟。干燥过程中温度和风速对含水率降低均有显著影响(p < 0.05)。它们之间的交互作用也表明[具体物品]的水分去除率存在显著差异(p < 0.05)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/9b920915ab54/gr014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/ca7c9d299c54/gr009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/287e2585333a/gr011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/facabce8000e/gr012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/1056af852517/gr013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/9b920915ab54/gr014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/ca7c9d299c54/gr009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/3b90e5c7e5b5/gr010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/287e2585333a/gr011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/facabce8000e/gr012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/1056af852517/gr013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/7892935/9b920915ab54/gr014.jpg

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