Origami tunable frequency selective fabric and its tuning mechanism

Chen, Jianying; Zhang, Hengyu; Ji, Hui; Wang, Fumei; Xiao, Heming

doi:10.1016/j.compositesa.2022.107257

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Preprint1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Cheng et al 2016;Guan et al 2018;Xiao et al 2014). And a series of frequency selective fabrics with tuning functions are prepared and investigated (Chen et al 2022(Chen et al , 2023a(Chen et al , 2023b.…”

Section: Introductionmentioning

confidence: 99%

Displacement type tunable frequency selective fabric and its electromagnetic response mechanism

Chen

Zhang

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

The development of tunable frequency selective surfaces that can respond to changing electromagnetic environments is a crucial area for the development of intelligent EM devices. In this research paper, a new displacement-type tunable frequency selective fabric (dTFSF) that can adjust its resonant frequency by external force is presented. The dTFSF is constructed by two identical plane frequency selective fabrics that contain periodic arranged cross-shaped conductive units. The resonance frequency of the dTFSF can be changed by displacing the two fabrics relative to each other, causing a change in the shape and size of the conductive units. The displacement is quantitatively related to the resonance frequency, allowing for precise control of the resonance frequency. Particle swarm optimization (PSO) and equivalent circuit analysis were used to obtain the equivalent EM parameters of the dTFSF. Overall, the dTFSF with lightweight and flexible nature making it an ideal candidate for integration into communication devices.

show abstract