用非干扰方法预测天然桧木样品电性能的经验数学模型

Sinan Saeed Jasim Alsaadi, A. Kocakusak, Y. Albayrak, S. Helhel
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摘要

本研究的重点是确定天然形式的杜松木的电气参数,包括复杂介电常数和正切损耗系数。因此,选择足够的渲染样本保存在温度约为$23{{}^{\circ}\mathrm{C}}\pm 2$的房间中。在2.17 GHz和6 GHz之间,使用了三个标准波导适配器来覆盖整个频段。在考虑含水率变化的情况下进行并重复测量,以表达一个经验数学模型,该模型将允许计算天然木材的电气参数,而无需任何$S-\text{parameter}$测量(未来不需要类似vna的设备)。Juniper样品进行$S-\text{parameter}$测量,并记录500个数据以获得规定的水分含量值。选择的标本为3种软木和6种硬木,因为比较对工业有意义。共建立了54个经验模型,其中3个为单个树种的介电常数模型,3个为特定树种的损耗正切值模型,这些模型都有它们的密度值支持。分析中使用了$S-\text{parameter}$测量产生的16500个数据,其中每个测量包含500个原始数据。所提出的数学模型允许在不需要任何微波测量的情况下预测选定的天然木材样品的电学特性,这是本研究的新颖之处。
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An Empiric Mathematical Models to Predict Electrical Properties of Natural Juniper Wood Samples by Using Non-Distractive Methods
This study focused on determining electrical parameters, both complex dielectric permittivity and tangent loss coefficients, for Juniper wood in its natural form. Therefore, enough rendered samples were selected and kept in the room where the temperature was around $23{{}^{\circ}\mathrm{C}}\pm 2$. Between 2.17 GHz and 6 GHz, three standard waveguide adaptors were used to cover the whole band. Measurements were conducted and repeated considering moisture content variation to express an empiric mathematical model which will allow calculating electrical parameters of natural woods without any $S-\text{parameter}$ measurements (will not require VNA-like equipment for future). The Juniper sample was subjected to $S-\text{parameter}$ measurements, and 500 data were recorded for the prescribed moisture content value. The selected specimens were three softwood and six hardwood species since comparison can be meaningful for industry. A total of 54 empirical models have been generated, 3 for the dielectric constant of individual tree species and 3 for the loss tangent values of particular tree species, and these models are supported by their density values. A total of 16500 data generated from $S-\text{parameter}$ measurements were used in the analysis, in which each measure contains 500 raw data. The proposed mathematical models allow for predicting the electrical properties of selected natural wood samples without requiring any microwave measurements, which is the novelty of this study.
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