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首页> 外文期刊>Revista Brasileira de Engenharia Agricola e Ambiental >Adjustment of the microwave dielectric function {epsilon'/[epsilon'(a f epsilon' - epsilon']} to estimate the moisture content of commom bean seeds at radiofrequencies
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Adjustment of the microwave dielectric function {epsilon'/[epsilon'(a f epsilon' - epsilon']} to estimate the moisture content of commom bean seeds at radiofrequencies

机译:调整微波介电函数ε/ε(ε-ε)以估计无线电频率下bean豆种子的水分含量

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> face="Verdana" size="2">The development of universal dielectric models to estimate the moisture content of grains and seeds is one of the main trends in the field of engineering for the production of on-line moisture meter prototypes. These models allow the use of a single algorithm, derived from a unique calibration equation, to calculate moisture content of moving grain independently of bulk density or mass flow rate. In this paper, the performance of a dielectric model originally developed for microwave frequencies has been assessed for estimating moisture content of common bean seeds at radiofrequencies. The model was derived from the following function, face="Symbol">z = F{ face="Symbol">e"/[ face="Symbol">e'(af face="Symbol">e'- face="Symbol">e"]}, in which face="Symbol">e' e face="Symbol">e" are the relative permittivity and dielectric loss factor, respectively, and af is an extrinsic parameter dependent on the frequency of oscillation. Measurement of dielectric parameters was performed using samples varying in moisture content from 11.5 to 20.6% w.b., and bulk densities in the range from 756 e 854 kg m-3. The adaptation to radiofrequencies of a microwave dielectric model derived from the density independent function face="Symbol">z produced a model capable of estimating the moisture content (w.b.) of common bean seeds with a standard error of estimate and maximum error of 0.6 and 1.4 percentage points.
机译:> face =“ Verdana” size =“ 2”>开发用于估计谷物和种子水分含量的通用介电模型是在线水分生产工程领域的主要趋势之一仪表原型。这些模型允许使用从唯一的校准方程式得出的单个算法来独立于堆积密度或质量流量来计算运动谷物的水分含量。在本文中,已经对最初为微波频率开发的介电模型的性能进行了评估,以估计普通豆种子在无线电频率下的水分含量。该模型源自以下函数, face =“ Symbol”> z = F { face =“ Symbol”> e “ / [ face =” Symbol“> e '(a f face =“ Symbol”> e '- face =“ Symbol”> e “]]},其中<分别是相对介电常数和介电损耗因子,而af是取决于频率的外在参数。使用水分含量在11.5至20.6%wb之间变化且堆积密度在756 e 854 kg m -3 范围内的样品进行介电参数的测量。从密度独立函数 face =“ Symbol”> z 导出的介电模型产生了一个模型,该模型能够估计普通豆种子的水分含量(wb),其标准误差为估计值,最大误差为0.6和1.4个百分点。

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