Application of Artificial Neural Networks to Complex Dielectric Constant Estimation from Free-Space Measurements

Jurado, Antonio; Escot, D.; Poyatos, D.; Montiel, Ignacio

doi:10.1007/978-3-642-02264-7_53

Cited by 5 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, since the custom-designed ridge waveguide is not a standard element, the theoretical relation between measured S parameters and complex permittivities for waveguide is not reliable any more here. Modern approaches extend into modeling and an optimization technique based on artificial neural networks (ANNs) [ 29 , 30 ]. This technique does not apply any limitations on the shape of the measured equipment or on the field distribution [ 31 , 32 , 33 ].…”

Section: Methodsmentioning

confidence: 99%

An On-Line System for High Temperature Dielectric Property Measurement of Microwave-Assisted Sintering Materials

Zhang

Wang

et al. 2019

Materials

View full text Add to dashboard Cite

Microwave-assisted sintering materials have been proven to deliver improvements in the mechanical and physicochemical properties of the materials, compared with conventional sintering methods. Accurate values of dielectric properties of materials under high temperatures are essential for microwave-assisted sintering. In view of this, this paper, proposes an on-line system to measure the high temperature dielectric properties of materials under microwave processing at a frequency of 2450 MHz. A custom-designed ridge waveguide is utilized, where samples are heated and measured simultaneously. An artificial neural network (ANN) trained with the corresponding simulation data is integrated into this system to reverse the permittivity of the measured materials. This whole system is tested at room temperature with different materials. Accuracies of measuring dielectric property with an error lower than 9% with respect to theoretical data have been achieved even for high loss media. The functionality of the dielectric measurement system has also been demonstrated by heating and measuring Macor and Duran ceramic glass samples up to 800 °C. All the preliminary experiments prove the feasibility of this system. It provides another method for dielectric property measurement and improves the understanding of the mechanism between microwave and media under high temperatures, which is helpful for optimizing the microwave-assisted sintering of materials.

show abstract

Section: Methodsmentioning

confidence: 99%

An On-Line System for High Temperature Dielectric Property Measurement of Microwave-Assisted Sintering Materials

Zhang

Wang

et al. 2019

Materials

View full text Add to dashboard Cite

show abstract

“…Numerical methods, such as Newton-Raphson (N-R), Genetic Algorithm (GA), and Root Finding Algorithm (RFA), are used as well beside of this analytical method. Artificial neural networks (ANN) algorithms, which can be learned by analysis of obtained data from calculation, are also used in estimating the complex permittivity [45][46][47].…”

Section: Extraction Techniquesmentioning

confidence: 99%

Measurement Methods and Extraction Techniques to Obtain the Dielectric Properties of Materials

Öztürk¹,

Guneser²

2019

Electrical and Electronic Properties of Materials

View full text Add to dashboard Cite

Material characterization plays an important role in many applications that are called as security, military, communication, bioengineering, medical treatment, food industry, and material processing, since it is useful to identify other properties such as stress-strain relation, bio content, moisture content, materials density, etc. Therefore, the dielectric properties of materials should be achieved with high accuracy using appropriate measurement techniques and extraction techniques. There are many measurement methods to obtain the dielectric properties of materials, which can be divided into two categories: up conversion and down conversion methods. A microwave measurement method can be called as frequency up conversion, while THz time-domain spectroscopy (THz-TDS) system is a frequency down conversion method. The selection of more convenient measurement method depends on some parameters such as frequency range, material phase, and temperature. In this chapter, the measurement methods and extraction techniques will be discussed, and alternative ways will be presented with experimental and simulation results.

show abstract

“…Numerical methods, such as NR, GA and root finding algorithm (RFA), are used as well beside of this analytical method. The AI algorithms, which can be trained by analysis of obtained data from calculation, are also used in estimating the complex permittivity [4,38,39].…”

Section: Extraction Techniquesmentioning

confidence: 99%

Artificial intelligence solution to extract the dielectric properties of materials at sub‐THz frequencies

Guneser¹

2019

IET Science, Measurement & Technology

View full text Add to dashboard Cite

Application of Artificial Neural Networks to Complex Dielectric Constant Estimation from Free-Space Measurements

Cited by 5 publications

References 6 publications

An On-Line System for High Temperature Dielectric Property Measurement of Microwave-Assisted Sintering Materials

An On-Line System for High Temperature Dielectric Property Measurement of Microwave-Assisted Sintering Materials

Measurement Methods and Extraction Techniques to Obtain the Dielectric Properties of Materials

Artificial intelligence solution to extract the dielectric properties of materials at sub‐THz frequencies

Contact Info

Product

Resources

About