Dielectric Properties of Switchgrass and Corn Stover in the Radio Frequency Range

IF 1.4 4区 农林科学 Q3 AGRICULTURAL ENGINEERING Transactions of the ASABE Pub Date : 2021-01-01 DOI:10.13031/TRANS.13940
A. M. Souza, S. Birrell, B. Steward
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Abstract

The dielectric properties of biological materials are relevant when developing moisture content sensors. However, little is known about the permittivities of switchgrass and corn stover in a wider frequency range. The goal of this research was to determine their dielectric constants and loss factors at different moisture contents across a frequency range of 5 Hz to 13 MHz and with the material static and in motion inside a sample container. The permittivity of these materials was calculated by measuring their admittance in a test fixture using an impedance analyzer at three different moisture levels (9.0% to 30.5%). Overall, the materials‘ dielectric properties increased with moisture but decreased with frequency. Prediction models were developed using the data in a frequency range of 10 kHz to 5 MHz. Model coefficients of determination were higher than 0.90 in general, except for the model measuring the loss factor of switchgrass in motion. Additionally, the dielectric constant was not different with the materials static or in motion, but the loss factor values were distinct. This work can be used for the development of electrical moisture content sensors for switchgrass and corn stover.
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柳枝稷和玉米秸秆在射频范围内的介电特性
生物材料的介电特性与水分传感器的研制息息相关。然而,对柳枝稷和玉米秸秆在更宽频率范围内的介电常数知之甚少。本研究的目的是在5赫兹至13兆赫的频率范围内,以及材料在样品容器内静态和运动的情况下,确定其介电常数和损耗因子。这些材料的介电常数是通过使用阻抗分析仪在测试夹具中测量三种不同湿度水平(9.0%至30.5%)下的导纳来计算的。总的来说,材料的介电性能随湿度的增加而增加,但随频率的增加而降低。使用频率范围为10千赫至5兆赫的数据开发了预测模型。除测量柳枝稷运动损耗因子的模型外,其他模型的决定系数均大于0.90。此外,介质常数随材料的静态和运动而变化不大,但损耗因子值不同。本工作可用于柳枝稷和玉米秸秆水分传感器的研制。
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来源期刊
Transactions of the ASABE
Transactions of the ASABE AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.
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