Evidence map›Paper›PMID 39447093›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

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

Suman Timilsina, Cheol Woo Jo, Kwang Ho Lee, Kee-Sun Sohn, Ji Sik Kim

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent Progress in Mechanoluminescence for Multi-Dimensional Stress Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Suman TimilsinaKNU Research Institute of Artificial Intelligent Diagnosis Technology of Multi-scale Organic and Inorganic Structure, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.ORCID https://orcid.org/0000-0003-3362-9369
Cheol Woo JoSchool of Advanced Science and Technology Convergence, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.
Kwang Ho LeeDepartment of Automotive Engineering, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.
Kee-Sun SohnNanotechnology and Advanced Materials Engineering, Sejong University, 209 Neungdong ro, Gwangjin-gu, Seoul, 143-747, Republic of Korea.
Ji Sik KimSchool of Nano & Advanced Materials Engineering, Kyungpook National University, Kyeongbuk, 37224, Republic of Korea.ORCID https://orcid.org/0000-0002-1432-8176

Funding

Ministry of Science and ICT 2022R1I1A3052916Ministry of Science and ICT RS-2024-00446825Nano & Material Technology Development ProgramNational Research Foundation of Korea
6 · The paper itself

Abstract

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.

Indexed as

digital image correlationlight‐adaptive skinmechanoluminescencestructural health monitoringsubsurface crack

Identifiers

PMID39447093
PMCPMC11727239

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.