An Artificial Nerve Network Realization in the Measurement of Material Permittivity

Chen, Qian; Huang, Keh‐Ning; Yang, Xiaoqing; Luo, Ming; Zhu, Huacheng

doi:10.2528/pier11012902

Cited by 32 publications

(16 citation statements)

References 31 publications

(30 reference statements)

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“…Based on our previous researches in characterization of dielectric properties in materials 31 , mixture solution 32 and reaction system 33, 34 , we divided the tunable chemical systems into two parts, static mixture aqueous solutions (time-invariant permittivity) and dynamic chemical reactions (time-varying permittivity).…”

Section: Methodsmentioning

confidence: 99%

Reconfigurable all-dielectric metasurface based on tunable chemical systems in aqueous solution

Yang

Zhang

et al. 2017

Sci Rep

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Dynamic control transmission and polarization properties of electromagnetic (EM) wave propagation is investigated using chemical reconfigurable all-dielectric metasurface. The metasurface is composed of cross-shaped periodical teflon tubes and inner filled chemical systems (i.e., mixtures and chemical reaction) in aqueous solution. By tuning the complex permittivity of chemical systems, the reconfigurable metasurface can be easily achieved. The transmission properties of different incident polarized waves (i.e., linear and circular polarization) were simulated and experimentally measured for static ethanol solution as volume ratio changed. Both results indicated this metasurface can serve as either tunable FSS (Frequency Selective Surface) or tunable linear-to-circular/cross Polarization Converter at required frequency range. Based on the reconfigurable laws obtained from static solutions, we developed a dynamic dielectric system and researched a typical chemical reaction with time-varying permittivity filled in the tubes experimentally. It provides new ways for realizing automatic reconfiguration of metasurface by chemical reaction system with given variation laws of permittivity.

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Section: Methodsmentioning

confidence: 99%

Reconfigurable all-dielectric metasurface based on tunable chemical systems in aqueous solution

Yang

Zhang

et al. 2017

Sci Rep

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“…The real and imaginary parts of the effective complex permittivity were then calculated using a back-propagation neural network (BPNN) (Figure 2). The simulated material samples were produced by a finite-difference time domain (FDTD) method before training, so the effective complex permittivity could be obtained quickly owing to the well-trained neural network (Chen et al, 2011). The MG formula was then used to calculate the theoretical values.…”

Section: Iron Canmentioning

confidence: 99%

Effect of mixing uniformity of sand–cement mixture on dielectric properties

Zhai¹,

Yang²

2015

Advances in Cement Research

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The dielectric properties of cement-based material are closely related to the mixture proportion, and thus can be used for evaluation of its quality and integrity. For the same mixture proportions, however, the mixed states are always different. It is thus important to determine whether the mixing uniformity of a sand-cement mixture has an effect on the dielectric properties. In this study, the dielectric properties of a sand-cement mixture were measured using the neural network inversion method. The results indicate that the mixing uniformity of a sand-cement mixture has no obvious effect on its dielectric properties and the measured results were approximately in agreement with values calculated using the Maxwell-Garnett formula. Therefore, when measuring the dielectric properties of a sandcement mixture, the volume ratio is important but mixing uniformity is not.

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“…Specific measurement apparatus and particular principles were referenced in [17]. In general, the measurement system was composed of two parts:

A metal can cavity and the accompanying open-end coaxial probe were well-designed.

…”

Section: Experiments Setupmentioning

confidence: 99%

Characterizing Adsorption Performance of Granular Activated Carbon with Permittivity

Yang

Shi

et al. 2017

Materials

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A number of studies have achieved the consensus that microwave thermal technology can regenerate the granular activated carbon (GAC) more efficiently and energy-conservatively than other technologies. In particular, in the microwave heating industry, permittivity is a crucial parameter. This paper developed two equivalent models to establish the relationship between effective complex permittivity and pore volume of the GAC. It is generally based on Maxwell-Garnett approximation (MGA) theory. With two different assumptions in the model, two quantificational expressions were derived, respectively. Permittivity measurements and Brunauer–Emmett–Teller (BET) testing had been introduced in the experiments. Results confirmed the two expressions, which were extremely similar. Theoretical and experimental graphs were matched. This paper set up a bridge which links effective complex permittivity and pore volume of the GAC. Furthermore, it provides a potential and convenient method for the rapid assisted characterization of the GAC in its adsorption performance.

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An Artificial Nerve Network Realization in the Measurement of Material Permittivity

Cited by 32 publications

References 31 publications

Reconfigurable all-dielectric metasurface based on tunable chemical systems in aqueous solution

Reconfigurable all-dielectric metasurface based on tunable chemical systems in aqueous solution

Effect of mixing uniformity of sand–cement mixture on dielectric properties

Characterizing Adsorption Performance of Granular Activated Carbon with Permittivity

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