Bulk Compressibility Behavior for Select Crops

IF 0.8 4区 农林科学 Q4 AGRICULTURAL ENGINEERING
Aaron P. Turner, Samuel G. McNeill, Michael Montross, Mark E. Casada, Sidney A. Thompson, Ronaldo G. Maghirang, Marvin Carpena Petingco
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Abstract

Highlights The pressure dependent bulk density relationship was evaluated for nine crops. Two compressibility models were proposed, with RMSE ranging from 1.7 to 7.1 kg m-3, depending on the crop. Differences between compressibility equations had minimal influence on packing predictions in full size bins. Combined test weight and packing correction factors are shown for each crop in bins of different sizes and construction. Abstract. Knowledge of the pressure-dependent bulk density increase observed in stored grains and oil seeds, commonly referred to as packing or compressibility, is important for maintaining accurate grain inventory, evaluating wall loads, and other applications that require estimating density at specific depths in a bin. This study presents compressibility equation parameters determined utilizing a compilation of the best data available, including previously published and new datasets. In all, confined uniaxial compression tests for nine crops (barley, canola, corn, oats, rice, sorghum, soybeans, hard red winter wheat, and soft red winter wheat) were included. The data was fit using two candidate compressibility equations, both of which generally fit well and resulted in root mean squared errors ranging from 1.7 to 7.1 kg m-3, depending on the model and crop. For crops with full scale bin data available from previous research, the resulting equations were applied to estimate inventory and were compared with the measured mass of grain in the bin. Results from both equations were similar, and apart from oats, median errors were less than 2.5%. Keywords: Bulk density, Compressibility, Pack factor, Grain storage, Test weight, Stored grain inventory.
选择作物的大块压缩性行为
对9种作物的容重关系进行了压力依赖性评价。提出了两种可压缩性模型,其RMSE范围为1.7至7.1 kg m-3,具体取决于作物。可压缩性方程之间的差异对全尺寸箱的包装预测影响最小。每种作物在不同尺寸和结构的仓内的综合试验重量和包装修正系数均显示。摘要在储存谷物和油籽中观察到的与压力相关的堆积密度增加的知识,通常被称为包装或压缩性,对于保持准确的谷物库存,评估壁负载以及其他需要估计特定深度密度的应用非常重要。本研究提出了利用现有最佳数据汇编确定的可压缩性方程参数,包括以前发表的和新的数据集。总共包括9种作物(大麦、油菜籽、玉米、燕麦、水稻、高粱、大豆、硬红冬小麦和软红冬小麦)的单轴压缩试验。数据使用两个候选压缩性方程进行拟合,这两个方程总体上拟合良好,根据模型和作物的不同,其均方根误差在1.7至7.1 kg - m-3之间。对于从以前的研究中获得的全尺寸仓数据的作物,将所得方程应用于估计库存,并与仓中谷物的测量质量进行比较。两个方程的结果相似,除燕麦外,中位误差小于2.5%。关键词:堆积密度,可压缩性,包装系数,储粮,试验重量,储粮库存。
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来源期刊
Applied Engineering in Agriculture
Applied Engineering in Agriculture 农林科学-农业工程
CiteScore
1.80
自引率
11.10%
发文量
69
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes applications of engineering and technology research that address agricultural, food, and biological systems problems. Submissions must include results of practical experiences, tests, or trials presented in a manner and style that will allow easy adaptation by others; results of reviews or studies of installations or applications with substantially new or significant information not readily available in other refereed publications; or a description of successful methods of techniques of education, outreach, or technology transfer.
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