Evidence map›Paper›PMID 36991719›Full record

ArticleSensors (Basel, Switzerland)2023

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels.

Jun Tu, Nan Yao, Yi Ling, Xu Zhang, Xiaochun Song

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

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

5 authors.

Jun TuSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0002-4974-9077
Nan YaoSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Yi LingSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Xu ZhangSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0001-9197-5716
Xiaochun SongSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0002-8339-4441

Funding

the Central Committee Guides Local Special Projects for Science and Technology De-velopment 2020ZYYD035the Key Research and Development Plan Project of Hubei Province 2022BAA075
6 · The paper itself

Abstract

In order to improve the accuracy of detection results of debonding defects of aluminum alloy thin plate, the nonlinear ultrasonic technology is used to detect the simulated defect samples, aiming at problems such as near surface blind region caused by the interaction of incident wave, reflected wave and even second harmonic wave in a short time due to the small thickness of thin plates. An integral method based on energy transfer efficiency is proposed to calculate the nonlinear ultrasonic coefficient to characterize the debonding defects of thin plates. A series of simulated debonding defects of different sizes were made using aluminum alloy plates with four thicknesses of 1 mm, 2 mm, 3 mm and 10 mm. By comparing the traditional nonlinear coefficient with the integral nonlinear coefficient proposed in this paper, it is verified that both methods can quantitatively characterize the size of debonding defects. The nonlinear ultrasonic testing technology based on energy transfer efficiency has higher testing accuracy for thin plates.

Indexed as

aluminum alloy foam sandwich panelsintegral methodnondestructive testingnonlinear ultrasonicthin plate

Identifiers

PMID36991719
PMCPMC10056416

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.