Investigation of cotton fabric composites as a natural radar-absorbing material
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Tarih
2020Yazar
Ayan, Muhammet ÇağrıKiriş, Serap
Yapıcı, Ahmet
Karaaslan, Muharrem
Akgöl, Oğuzhan
Altıntaş, Olcay
Ünal, Emin
Üst veri
Tüm öğe kaydını gösterKünye
Ayan, M.Ç., Kiriş, S., Yapici, A., Karaaslan, M., Akgöl, O., Altıntaş, O. and Ünal, E. (2020), "Investigation of cotton fabric composites as a natural radar-absorbing material", Aircraft Engineering and Aerospace Technology, Vol. 92 (8), pp. 1275-1280. https://doi.org/10.1108/AEAT-01-2020-0018Özet
Purpose The purpose of this paper is to investigate cotton fabric behavior that is exposed to radar waves between selected operation frequencies as an alternative radar-absorbing material (RAM) response. Cotton fabric biocomposite materials were compared with carbon fabric composite materials, which are good absorbers, in terms of mechanical and electromagnetic (EM) properties for that purpose. Design/methodology/approach The laminated composite plates were manufactured by using a vacuum infusion process. The EM tests were experimentally performed with a vector network analyzer to measure reflection, transmission and absorption ability of cotton fabric, carbon fabric and cotton-carbon fabric (side by side) composite plates between 3 and 18 GHz. The tensile and low-velocity impact tests were carried out to compare the mechanical properties of cotton fabric and carbon fabric composite plates. A scanning electron microscope was used for viewing the topographical features of fracture surfaces. Findings The cotton fabric composite plate exhibits low mechanical values, but it gives higher EM wave absorption values than the carbon fabric composite plate in certain frequency ranges. Comparing the EM absorption properties of the combination of cotton and carbon composites with those of the carbon composite alone, it appears that the cotton-carbon combination can be considered as a better absorber than the carbon composite in a frequency range from 12 to 18 GHz at Ku band. Originality/value This paper shows how cotton, which is a natural and easily supplied low-cost raw material, can be evaluated as a RAM.