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首页> 外文期刊>Journal of Stored Products Research >Experimental study and discrete element method modeling of temperature distributions in rapeseed stored in a model bin
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Experimental study and discrete element method modeling of temperature distributions in rapeseed stored in a model bin

机译：模型库中油菜籽油温度分布的实验研究和离散元方法建模

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摘要

Rapeseed is one of the major sources of vegetable oil. Improving processing and storage conditions is very important in order to get high quality product. Rapeseed stored in silos is at constant risk of deterioration of quality. The self-heating phenomenon is the main reason for deterioration during storage. Therefore, the aim of the present work was to describe the temperature distribution during this phenomenon and determine whether the self-heating area in a silo could be predicted. The discrete element method (DEM) was used to predict temperature distributions in rapeseed in a cylindrical storage bin and to describe the self-heating process of rapeseed. Model validation was carried out by comparing the results of the model with experimentally measured grain temperatures at different points in a model silo. The predicted and measured temperatures were found to be in good agreement. DEM may be useful for predicting temperature distributions in a silo and can describe the self-heating phenomenon. (C) 2014 Elsevier Ltd. All rights reserved.
机译：油菜籽是植物油的主要来源之一。为了获得高质量的产品，改善加工和储存条件非常重要。储存在筒仓中的油菜籽经常会出现质量下降的风险。自热现象是储存期间变质的主要原因。因此，本工作的目的是描述这种现象期间的温度分布，并确定是否可以预测筒仓中的自热区。离散元素法（DEM）用于预测油菜籽在圆柱形贮藏仓中的温度分布，并描述油菜籽的自加热过程。通过将模型结果与模型仓中不同点的实验测得的谷物温度进行比较，进行模型验证。发现预测温度和测量温度吻合良好。 DEM对于预测筒仓中的温度分布可能有用，并且可以描述自热现象。 （C）2014 Elsevier Ltd.保留所有权利。

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