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Mathematical modelling of heat and moisture transfer of wheat stored in plastic bags (silobags)

机译:储存在塑料袋(小袋)中的小麦的热量和水分传递的数学模型

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A bidimensional finite element model that predicts temperature distribution and moisture migration of wheat stored in silobags due to seasonal variation of climatic conditions is described. The model includes grain respiration and calculates carbon dioxide and oxygen concentrations during storage as well as the associated dry matter loss. The model validation was carried out by comparing predicted with measured temperature and moisture content (MC) data. The temperature standard errors of the model validation were 1.94 pC at the bottom, 1.35 pC in the middle and 1.20 pC at the top layer. The model predicted moisture increase in the top grain layer during storage ranging from 1.0 to 1.5% w.b., while the measured increase ranged from 0.4 to 0.8% w.b. Predicted average CO2 and O2 concentrations were compared with measured data. For dry wheat (12.5% w.b.), after 100 days of storage, differences in concentrations were 1.8 and 0.6% points for CO2 and O2, respectively. For wet wheat (16.4% w.b.), the model predicted the total consumption of O2 after five days while the observed O2 data never dropped below 5%. The difference between the measured and predicted CO2 concentration for the fifth day was 1.1%. For the range of MCs considered in this work, the change in CO2 concentration during storage was satisfactorily predicted by use of White et al. (1982) estimation of CO2 production rate, but prediction of O2 concentration was poor for wet grain.
机译:描述了一种二维有限元模型,该模型可预测由于气候条件的季节性变化而导致储存在筒仓中的小麦的温度分布和水分迁移。该模型包括谷物呼吸作用,并计算存储期间的二氧化碳和氧气浓度以及相关的干物质损失。通过将预测值与测得的温度和水分含量(MC)数据进行比较来进行模型验证。模型验证的温度标准误差在底部为1.94 pC,在中间为1.35 pC,在顶层为1.20 pC。该模型预测在储存过程中最上层谷物的水分增加量为1.0至1.5%w.b.,而测得的增加量为0.4至0.8%w.b。将预测的平均CO2和O2浓度与实测数据进行比较。对于干燥的小麦(12.5%w.b.),储存100天后,CO2和O2的浓度差异分别为1.8和0.6%。对于湿小麦(16.4%w.b.),该模型预测五天后的总O2消耗量,而观察到的O2数据从未降至5%以下。第五天的测量和预测的CO2浓度之间的差异为1.1%。对于这项工作中考虑的MC范围,通过使用White等人的方法令人满意地预测了储存过程中CO2浓度的变化。 (1982年)估计CO2的产生速率,但对湿粮的O2浓度的预测很差。

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