Crack Detecting Method Based on Grid-Type Sensing Networks Using Electrical Signals.

Ju-Hun Ahn, Yong-Chan Lee, Se-Min Jeong, Han-Na Kim, Chang-Yull Lee

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

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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

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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

5 authors.

Ju-Hun AhnDepartment of Aerospace Engineering, Inha University, Incheon 22212, Republic of Korea.ORCID 0000-0002-6391-2299

Yong-Chan LeeDepartment of Aerospace Engineering, Chosun University, Gwangju 61452, Republic of Korea.

Se-Min JeongDepartment of Naval Architecture and Ocean Engineering, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0001-9252-1273

Han-Na KimDepartment of Aerospace Engineering, Inha University, Incheon 22212, Republic of Korea.ORCID 0000-0001-7156-0986

Chang-Yull LeeDepartment of Aerospace Engineering, Inha University, Incheon 22212, Republic of Korea.

Funding

National Research Foundation of Korea 2019R1I1A3A01060180National Research Foundation of Korea 2021R1A5A1031868

6 · The paper itself

Abstract

Cracks have a primary effect on the failure of a structure. Therefore, the development of crack sensors with high accuracy and resolution and cracks detection method are important. In this study, the crack sensors were fabricated, and the crack locations were detected with the electrical signal of the crack sensor. First, a metal grid-type micro-crack sensor based on silver was fabricated. The sensor is made with electrohydrodynamics (EHD) inkjet printing technology, which is well known as the next generation of printed electronics technology. Optimal printing conditions were established through experiments, and a grid sensor was obtained. After that, single cracks and multiple cracks were simulated on the sensor, and electrical signals generated from the sensor were measured. The measured electrical signal tracked the location of the cracks in three steps: simple cross-calculation, interpolation, and modified P-SPICE. It was confirmed that cracks could be effectively found and displayed using the method presented in this paper.

Indexed as

Computer SystemsElectricityElectronicsSilverTechnologySilverconductive inkcrack detectingelectrohydrodynamicsmicro-crack sensor

Identifiers

PMID37447942

DOI10.3390/s23136093

PMCPMC10347165

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