5G-enabled, battery-less smart skins for self-monitoring megastructures and digital twin applications.
Autor: | Lynch C; Georgia Institute of Technology, School of ECE, Atlanta, GA, 30308, USA. clynch19@gatech.edu., Adeyeye A; Georgia Institute of Technology, School of ECE, Atlanta, GA, 30308, USA., Abbara EM; Binghamton University, Binghamton, NY, 13902, USA., Umar A; Binghamton University, Binghamton, NY, 13902, USA., Alhendi M; Binghamton University, Binghamton, NY, 13902, USA., Minnella C; Sikorsky, a Lockheed Martin Company, Rochester, NY, 14623, USA., Iannotti J; GE Global Research, Niskayuna, NY, 12309, USA., Stoffel N; GE Global Research, Niskayuna, NY, 12309, USA., Poliks M; Binghamton University, Binghamton, NY, 13902, USA., Tentzeris MM; Georgia Institute of Technology, School of ECE, Atlanta, GA, 30308, USA. |
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Jazyk: | angličtina |
Zdroj: | Scientific reports [Sci Rep] 2024 May 01; Vol. 14 (1), pp. 10002. Date of Electronic Publication: 2024 May 01. |
DOI: | 10.1038/s41598-024-58257-7 |
Abstrakt: | With the current development of the 5G infrastructure, there presents a unique opportunity for the deployment of battery-less mmWave reflect-array-based sensors. These fully-passive devices benefit from having a larger detectability than alternative battery-less solutions to create self-monitoring megastructures. The presented 'smart' skin sensor uses a Van-Atta array design enabling ubiquitous local strain monitoring for the structural health monitoring of composite materials featuring wide interrogation angles. Proof-of-concept prototypes of these 'smart' skin millimeter-wave identification tags, that can be mounted on or embedded within common materials used in wind turbine blades, present a highly-detectable radar cross-section of - 33.75 dBsm and - 35.00 dBsm for mounted and embedded sensors respectively. Both sensors display a minimum resolution of 202 μ -strain even at 40 ∘ off-axis enabling interrogation of the fully-passive sensor at oblique angles of incidence. When interrogated from a proof-of-concept reader, the fully-passive, sticker-like mmID enables local strain monitoring of both carbon fiber and glass fiber composite materials. The sensors display a repeatable and recoverable response over 0-3000 μ -strain and a sensitivity of 7.55 kHz/ μ -strain and 7.92 kHz/ μ -strain for mounted and embedded sensors, respectively. Thus, the presented 5G-enabled battery-less sensor presents massive potential for the development of ubiquitous Digital Twinning of composite materials in future smart cities architectures. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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