Your browser doesn't support javascript.
loading
Metamaterial enhanced sensor for powder material classification.
Zamel, Hany M; Abd El-Rahman, Sherine Ismail; Attiya, Ahmed M.
Afiliação
  • Zamel HM; Microwave Engineering Department, Electronics Research Institute (ERI), Cairo, 11843, Egypt. res_ass@yahoo.com.
  • Abd El-Rahman SI; Microwave Engineering Department, Electronics Research Institute (ERI), Cairo, 11843, Egypt. Sherine.ismail@eri.sci.eg.
  • Attiya AM; Microwave Engineering Department, Electronics Research Institute (ERI), Cairo, 11843, Egypt.
Sci Rep ; 14(1): 21316, 2024 Sep 12.
Article em En | MEDLINE | ID: mdl-39266611
ABSTRACT
In this paper, a simple and efficient approach is presented to classify different power materials based on a one port microwave sensor in X-band. This classification focuses on powder materials, unlike prior studies that focused on liquids (castor oil, neem oil, sunflower oil, sesame oil, and mahua oil), this classification represents a shift towards powdered materials. The response of the proposed sensor is enhanced by adding a metamaterial (MTM) unit cell of F-shape to focus electromagnetic waves on the sample under test. This metamaterial-based sensor is designed to differentiate between different types of materials based on the corresponding reflection coefficient. The sample under test is included inside a dielectric box inserted inside a rectangular waveguide. The MTM unit cell is added on the front face of this box towards the direction of the incident wave. The resonance frequency depends on the characteristics of the powder material inside the box. The MTM unit cell enhances this resonance to simplify the process of classification of different materials. The measured results show that the proposed sensor can detect a wide range of powder materials, including clay, cement, sand, and mixtures cement & sand, and clay & sand. The designed sensor can be used in various applications, including detection and classification of different powder materials in industrial applications.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Egito País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Egito País de publicação: Reino Unido