Microwave photonic FBG interrogation by the fixed array of addressed comb and artificial neural networks

  • Камал Аскер оглы Аскеров National Aviation Academy of the Republic of Azerbaijan
  • Ашраф Алескер оглы Сафарзаде National Aviation Academy of the Republic of Azerbaijan
  • Xиджран Сафархан кызы Ибрагимова Institute of Physics, Ministry of Science and Education of the Republic of Azerbaijan
Keywords: isotactic polypropylene, silicon dioxide, nanoparticles, dielectric losses

Abstract

The paper shows that the addition of SiO₂ nanoparticles to the polymer matrix of isotactic polypropylene significantly improves its thermophysical and dielectric properties. The optimal filler concentration is 3–5 vol%, which maximizes the increase in crystallinity, reduces dielectric losses, and limits the mobility of the polymer macromolecules. The results of this work can be used to create composites with improved electrical insulation and heat resistance properties.

Author Biographies

Камал Аскер оглы Аскеров, National Aviation Academy of the Republic of Azerbaijan

Kamal Asgar Asgarov. Director of the Scientific Research Institute under the National Aviation Academy of the Republic of Azerbaijan, Professor- Project supervision.

Ашраф Алескер оглы Сафарзаде, National Aviation Academy of the Republic of Azerbaijan

Ashraf Alesker Safarzade. Associate Professor at the National Aviation Academy of the Republic of Azerbaijan- provided supervision for the AFM measurements.

Xиджран Сафархан кызы Ибрагимова, Institute of Physics, Ministry of Science and Education of the Republic of Azerbaijan

Hijran Safarxan Ibrahimova. PhD, Associate Professor, Senior Researcher, Institute of Physics, Ministry of Science and Education of the Republic of Azerbaijan-Responsible for writing the manuscript, preparing graphical materials, and conducting experiments.

 

Published
2025-09-18
How to Cite
Аскеров, Камал, Сафарзаде, Ашраф, & ИбрагимоваX. (2025, September 18). Microwave photonic FBG interrogation by the fixed array of addressed comb and artificial neural networks. Electronics, Photonics and Cyberphysical Systems, 5(3), 95-97. Retrieved from http://elphotkai.ru/article/view/836