An Empiric Mathematical Models to Predict Electrical Properties of Natural Juniper Wood Samples by Using Non-Distractive Methods


Alsaadi S. S. J., KOCAKUŞAK A., ALBAYRAK Y., HELHEL S.

2023 Photonics and Electromagnetics Research Symposium, PIERS 2023, Prague, Çek Cumhuriyeti, 3 - 06 Temmuz 2023, ss.707-713 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/piers59004.2023.10221421
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.707-713
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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°C ± 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-parameter measurements (will not require VNA-like equipment for future). The Juniper sample was subjected to S-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-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.