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Proceedings Paper

Autonomous structural composites for self-powered strain sensing-enabled damage detection
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Paper Abstract

In this study, autonomous composites (AutoCom) are suggested by embedding multifunctional mechano-luminescenceoptoelectronic (MLO) composites into fiber reinforced polymer (FRP) structural composites. The AutoCom is designed for next generation unmanned aerial vehicles to enhance self-sustainability by benefiting from the self-powered strain sensing damage detection capability. The MLO composites generate direct current (DC) in response to mechanical stimuli, and the generated DC varies with magnitude of strain and strain rate. The DC-based strain sensing capability of MLO composites enables AutoCom to measure strain by itself without any external electrical source. The strain sensing data produced from the AutoCom can be potentially used to detect damage using vibration-based damage detection scheme. First, the MLO composites are fabricated by assembling two functional building blocks, such as mechanooptoelectronic (MO) poly(3-hexylthiophene) (P3HT)-based sensing thin films and mechano-luminescent (ML) copperdoped zinc sulfide (ZnS:Cu)-based elastomeric composites. The MLO composites’ self-powered strain sensing capability is validated by subjecting the MLO composites to cyclic tensile strains. Second, AutoCom specimen is fabricated and tested for validating its self-powered strain sensing capability using four-point bending test. Third, mechanical properties of the AutoCom are assessed through theoretical study by comparing to FRP composites without MLO embedment. Last, strain-based system identification methodology is proposed and used for performing system identification of FRP composites.

Paper Details

Date Published: 28 March 2019
PDF: 15 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 1097015 (28 March 2019); doi: 10.1117/12.2514360
Show Author Affiliations
Alfred Mongare, New Mexico Tech (United States)
Jordan Ulibarri-Sanchez, New Mexico State Univ. (United States)
Aaron Misla, New Mexico Tech (United States)
YoungHo Park, New Mexico State Univ. (United States)
Andrei Zagrai, New Mexico Tech (United States)
Donghyeon Ryu, New Mexico Tech (United States)

Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

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