Evidence map›Paper›PMID 36616930›Full record

ArticleSensors (Basel, Switzerland)2022

Lock-In Thermal Test Simulation, Influence, and Optimum Cycle Period for Infrared Thermal Testing in Non-Destructive Testing.

António Ramos Silva, Mário Vaz, Sofia Leite, Joaquim Mendes

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

4 authors.

António Ramos SilvaFaculty of Engineering, University of Porto, 4200-465 Porto, Portugal.ORCID 0000-0002-4146-6224
Mário VazFaculty of Engineering, University of Porto, 4200-465 Porto, Portugal.ORCID 0000-0002-6347-9608
Sofia LeiteCINTESIS-Center for Health Technology and Services Research, 4200-465 Porto, Portugal.ORCID 0000-0003-3999-2492
Joaquim MendesFaculty of Engineering, University of Porto, 4200-465 Porto, Portugal.ORCID 0000-0003-4254-1879

Funding

Fundação para a Ciência e Tecnologia UIDB/50022/2020Fundação para a Ciência e Tecnologia UIDP/50022/2020
6 · The paper itself

Abstract

Lock-in thermal tests (LTTs) are one of the best ways to detect defects in composite materials. The parameter that most affects their performance is the cycle period of the stimulation wave. Its influence on the amplitude-phase results was determined by performing various numeric simulations and laboratory tests. The laboratory tests were used to infer part of the simulation parameters, namely the input and output heat, corresponding to the stimulation and natural convection. The simulations and the analysis of their results focus on the heat flow inside the sample and the manner they change for different geometries. This was performed for poly(methyl methacrylate (PMMA) and carbon fiber-reinforced polymers (CFRPs). The simulation of these materials was also used to create prediction surfaces and equations. These predict the amplitude and phase for a sample with a thickness

Indexed as

laboratory testslock-innondestructive testingsimulationthermography

Identifiers

PMID36616930
PMCPMC9824877

What OpenQuestion holds

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Registered trials

None linked

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.