...
首页> 外文期刊>Journal of Agricultural and Biological Science >Effects of non-uniform airflow distribution on grain moisture contents during aeration
【24h】

Effects of non-uniform airflow distribution on grain moisture contents during aeration

机译:通风过程中气流分布不均匀对谷物水分的影响

获取原文

摘要

Maintaining the quality o f grains in storage over long periods of time is dependent on several factors, including the provision of a functional aeration system and an adequate management strategy. The growth and activities of insects in stored grains is a function of time, grain moisture content and grain temperature, but this can be controlled with effective aeration. To ensure effective aeration the conditions of the grains in storage must be monitored. Though several models exist for the prediction of grain moisture contents during aeration, most of these models assume airflow to be uniform during aeration. Thompson’s model which is commonly used for predicting grain moisture content assumes uniform airflow during aeration. Conversely, airflow is non-uniform in hopper bottom silos and partially perforated floors. Therefore the objective of this study is to modify Thompson’s model used for natural drying so it could be used to predict the moisture contents of grains during aeration when non-uniform flow of air is considered. A hopper bottom silo of 3m radius filled to a grain height of 1.8m was used for this study. Four tests, each test under different testing conditions and lasting 120 hours, were carried out to investigate the non-uniform movement of air. The investigations revealed that the modified model presented in this study is useful for predicting moisture content to within 0.5% of measured moisture content when non-uniform airflow is considered. The coefficient of determination (R2) between the measured and predicted values obtained for the moisture tests ranged from 0.97 to 0.98.
机译:长时间保持谷物的品质取决于几个因素,包括提供功能性的曝气系统和适当的管理策略。储存谷物中昆虫的生长和活动是时间,谷物含水量和谷物温度的函数,但这可以通过有效的通气来控制。为了确保有效通气,必须监控储存谷物的状况。尽管存在几种用于预测曝气过程中谷物水分含量的模型,但是这些模型中的大多数都假设曝气过程中的气流是均匀的。汤普森(Thompson)模型通常用于预测谷物的水分含量,假设充气过程中气流均匀。相反,料斗底部料仓和部分穿孔的地板中的气流不均匀。因此,本研究的目的是修改用于自然干燥的汤普森模型,以便在考虑到气流不均匀时,可用于预测曝气过程中谷物的水分含量。这项研究使用了3m半径的料斗底部料仓,其填充高度为1.8m。进行了四个测试,每个测试在不同的测试条件下进行,持续120小时,以研究空气的不均匀运动。调查显示,当考虑到气流不均匀时,本研究中提出的改进模型可用于将水分含量预测为所测水分含量的0.5%以内。水分测试获得的测量值和预测值之间的确定系数(R 2 )为0.97至0.98。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号