Evidence map›Paper›PMID 34770696›Full record

ArticleSensors (Basel, Switzerland)2021

Modelling and Validation of a Guided Acoustic Wave Temperature Monitoring System.

Lawrence Yule, Bahareh Zaghari, Nicholas Harris, Martyn Hill

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Lawrence YuleElectronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-0324-6642
Bahareh ZaghariSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK.ORCID 0000-0002-5600-4671
Nicholas HarrisElectronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0003-4122-2219
Martyn HillSchool of Engineering, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0001-6448-9448
University of Southampton · GBCranfield University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The computer modelling of condition monitoring sensors can aide in their development, improve their performance, and allow for the analysis of sensor impact on component operation. This article details the development of a COMSOL model for a guided wave-based temperature monitoring system, with a view to using the technology in the future for the temperature monitoring of nozzle guide vanes, found in the hot section of aeroengines. The model is based on an experimental test system that acts as a method of validation for the model. Piezoelectric wedge transducers were used to excite the S0 Lamb wave mode in an aluminium plate, which was temperature controlled using a hot plate. Time of flight measurements were carried out in MATLAB and used to calculate group velocity. The results were compared to theoretical wave velocities extracted from dispersion curves. The assembly and validation of such a model can aide in the future development of guided wave based sensor systems, and the methods provided can act as a guide for building similar COMSOL models. The results show that the model is in good agreement with the experimental equivalent, which is also in line with theoretical predictions.

Indexed as

SoundTransducersComputer SimulationTemperatureCOMSOLcondition monitoringguided wavesnozzle guide vanewedge transducer

Identifiers

PMID34770696
PMCPMC8588246
OpenAlexW3214290706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.