Dual-Modal Sensing Skin Adaptive to Daylight, Darkness, and Ultraviolet Light for Simultaneous Full-Field Deformation Measurement and Mechanoluminescence Responses.

digital image correlation light‐adaptive skin mechanoluminescence structural health monitoring subsurface crack

Journal

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569

Informations de publication

Date de publication:
24 Oct 2024
Historique:
revised: 29 09 2024
received: 08 08 2024
medline: 24 10 2024
pubmed: 24 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

Mechanoluminescence (ML) and digital image correlation (DIC) have emerged as promising optical methods to visualize and measure deformation fields. In this study, a dual-modal sensing skin, called the ML-DIC skin is introduced, that is capable of emitting ML and facilitating DIC measurements under various lighting conditions, including daylight, night or darkness, and UV irradiation. Four ML-DIC skins are fabricated with or without carbon nanotubes (CNTs) using a composite powder consisting of SrAl2O4: Eu,Dy (SAO), and acrylic resin, with CNT milling times of 48, 72, and 96 h for three of four skins, respectively. DIC measurements are performed under multiple lighting conditions for measuring photoluminescence, persistence luminescence, and reflection. Uniaxial tension tests demonstrate the superior performance of ML-DIC skins with CNTs compared with pristine SAO skins, with the skin subjected to 48 h of CNT dispersion exhibiting optimal performance. Further investigations focus on ML emission and DIC measurements near the crack-tip vicinity of static and propagating cracks as well as on surfaces above subsurface cracks. The integration of ML and DIC techniques offers a versatile approach for comprehensive deformation analysis applicable to diverse environments, with implications for materials science, engineering, and structural health monitoring.

Identifiants

pubmed: 39447093
doi: 10.1002/advs.202409384
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2409384

Subventions

Organisme : Nano & Material Technology Development Program
Organisme : National Research Foundation of Korea
Organisme : Ministry of Science and ICT
ID : RS-2024-00446825
Organisme : Ministry of Science and ICT
ID : 2022R1I1A3052916

Informations de copyright

© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.

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Auteurs

Suman Timilsina (S)

KNU Research Institute of Artificial Intelligent Diagnosis Technology of Multi-scale Organic and Inorganic Structure, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.

Cheol Woo Jo (CW)

School of Advanced Science and Technology Convergence, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.

Kwang Ho Lee (KH)

Department of Automotive Engineering, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.

Kee-Sun Sohn (KS)

Nanotechnology and Advanced Materials Engineering, Sejong University, 209 Neungdong ro, Gwangjin-gu, Seoul, 143-747, Republic of Korea.

Ji Sik Kim (JS)

School of Nano & Advanced Materials Engineering, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.

Classifications MeSH