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首页> 外文期刊>Journal of the ASABE >Effects of Pressure and Moisture Content on Bulk Density of Triticale Grain under Compaction
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Effects of Pressure and Moisture Content on Bulk Density of Triticale Grain under Compaction

机译：压力和水分含量在压实下的散装密度的影响

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The objective of this study was to determine the combined effects of moisture content (MC) and pressure on the changes in bulk density of triticale grain under compaction at conditions typical of those seen in storage structures and to develop mathematical models to describe the compression behavior. Triticale compaction was measured at three MCs (8%, 12%, and 16% wet basis) and four compaction pressures (7, 14, 34, and 55 kPa) using a square metal box based on the design used in an earlier study byThompson and Ross. Data from the compaction tests were used to calculate bulk densities for the three MCs and four pressures. Bulk densities were found to be significantly (p < 0.0001) dependent on both MC and pressure. Bulk densities varied with increasing MC, as has been observed in similar studies for other agricultural grains such as rye and wheat. These results provide guidance for estimating the bulk density of triticale in bins and other storage structures. The Verhulst logistic equation was found to best describe the changes in bulk density of triticale caused by rearrangement of the grain kernels at lower pressures for the three MCs. At higher pressures, the grain was observed to be more compliant, and Hooke's law was used to accurately describe the observed changes. Data from the compaction tests were used to estimate the model parameters, with a correlation coefficient (R2) of 0.986. The model was then used in WPACKING to compare the results of this study to pack factor predictions for triticale and wheat. WPACK1NG is a computer program that is the basis for ASABE Standard S413. The results of this comparison showed that this method can be used with the methods of ASABE Standard S413 to predict the quantity of triticale grain stored in bins.
机译：这项研究的目的是确定水分含量（MC）的综合作用以及对在储存结构中典型的条件下，在压实条件下，对小晶晶粒密度变化的压力，并开发数学模型来描述压缩行为。使用基于早期研究中使用的设计的平方金属盒，在三个MC（8％，12％和16％的湿基）和四个压实压力（7、14、34和55 kPa）下测量小黑细胞压实。和罗斯。来自压实测试的数据用于计算三个MC和四个压力的大量密度。发现散装密度显着（P <0.0001）取决于MC和压力。在其他农业谷物（如黑麦和小麦）的类似研究中观察到的大量密度随着MC的增加而变化。这些结果为估计垃圾箱和其他存储结构中小黑细胞的大体密度提供了指导。发现Verhulst Logistic方程最能描述三个MC在下压力下的谷物内核重新排列引起的小黑细胞密度变化。在较高的压力下，观察到谷物更合规，而胡克定律被用来准确描述观察到的变化。来自压实测试的数据用于估计模型参数，相关系数（R2）为0.986。然后将该模型用于WPACKing，以比较本研究的结果，以包装小麦和小麦的因素预测。 WPACK1NG是一个计算机程序，是ASABE标准S413的基础。该比较的结果表明，该方法可以与Asabe Standard S413的方法一起使用，以预测存储在垃圾箱中的小晶粒的数量。

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