Artificial intelligence solution to extract the dielectric properties of materials at sub-THz frequencies
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inst Engineering Technology-Iet
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Material characterisation plays a crucial role in many applications such as security, military, communication, bioengineering, medical treatment, food industry and material processing. Since it is useful to identify other properties of materials often tied to other useful parameters, such as stress-strain relation, bio content, moisture content, materials density and so on, the dielectric properties of materials should be achieved with high accuracy using appropriate measurement techniques and extraction techniques. There are many measurement methods to determine the dielectric properties of materials, which depend on parameters such as frequency range, material phase and temperature. In this study, the measurement methods and extraction techniques have been discussed, and alternative ways have been presented with experimental and simulation results. Furthermore, a new numerical extraction technique has been performed to achieve the dielectric properties of materials.
Açıklama
Anahtar Kelimeler
permittivity measurement, acoustic transducers, artificial intelligence, stress-strain relations, nondestructive testing, material characterisation, medical treatment, food industry, material processing, materials density, extraction techniques, material phase, temperature
Kaynak
Iet Science Measurement & Technology
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
13
Sayı
4
