Evidence map›Paper›PMID 41094841›Full record

ArticleSensors (Basel, Switzerland)2025

DIC-Aided Mechanoluminescent Film Sensor for Quantitative Measurement of Full-Field Strain.

Guoqing Gu, Liya Dai, Liyun Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Guoqing GuSchool of Civil Engineering, Yancheng Institute of Technology, Yancheng 224051, China.ORCID 0000-0002-3768-1271
Liya DaiSchool of Civil Engineering, Yancheng Institute of Technology, Yancheng 224051, China.
Liyun ChenYancheng Institute of Supervision & Inspection of Product Quality, Yancheng 224056, China.

Funding

Jiangsu Province Industry-University-Research Collaboration Project BY20240504Jiangsu Province Market Regulation Administration Science and Technology Project KJ2024092
6 · The paper itself

Abstract

To break through the bottleneck in the mapping of the mechanoluminescent (ML) intensity field to the strain field, a quantification method for full-field strain measurement based on pixel-level data fusion is proposed, integrating ML imaging with digital image correlation (DIC) to achieve precise reconstruction of the strain field. Experiments are conducted using aluminum alloy specimens coated with ML film sensor on their surfaces. During the tensile process, ML images of the films and speckle images of the specimen backsides are simultaneously acquired. Combined with DIC technology, high-precision full-field strain distributions are obtained. Through spatial registration and region matching algorithms, a quantitative calibration model between ML intensity and DIC strain is established. The research results indicate that the ML intensity and DIC strain exhibit a significant linear correlation (R

Indexed as

calibration modeldigital image correlationfilm sensormechanoluminescentstrain quantitative measurement

Identifiers

PMID41094841
PMCPMC12527059

What OpenQuestion holds

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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.