Evidence map›Paper›PMID 38399002›Full record

ArticleMicromachines2024

Integration Technology with Thin Films Co-Fabricated in Laminated Composite Structures for Defect Detection and Damage Monitoring.

Rogers K Langat, Emmanuel De Luycker, Arthur Cantarel, Micky Rakotondrabe

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Rogers K LangatLaboratoire Génie de Production (LGP), University of Technology Tarbes Occitanie Pyrénées (UTTOP), University of Toulouse, 65000 Tarbes, France.ORCID 0000-0002-1323-0521
Emmanuel De LuyckerLaboratoire Génie de Production (LGP), University of Technology Tarbes Occitanie Pyrénées (UTTOP), University of Toulouse, 65000 Tarbes, France.ORCID 0000-0003-1646-2851
Arthur CantarelInstitut Clément Ader (ICA), University of Technology of Tarbes Occitanie Pyrénées (UTTOP), University of Toulouse, 65000 Tarbes, France.
Micky RakotondrabeLaboratoire Génie de Production (LGP), University of Technology Tarbes Occitanie Pyrénées (UTTOP), University of Toulouse, 65000 Tarbes, France.ORCID 0000-0002-6413-7271

Funding

French campusfrance French campusfrance
6 · The paper itself

Abstract

Despite the well-established nature of non-destructive testing (NDT) technologies, autonomous monitoring systems are still in high demand. The solution lies in harnessing the potential of intelligent structures, particularly in industries like aeronautics. Substantial downtime occurs due to routine maintenance, leading to lost revenue when aircraft are grounded for inspection and repairs. This article explores an innovative approach using intelligent materials to enhance condition-based maintenance, ultimately cutting life-cycle costs. The study emphasizes a paradigm shift toward structural health monitoring (SHM), utilizing embedded sensors for real-time monitoring. Active thin film piezoelectric materials are proposed for their integration into composite structures. The work evaluates passive sensing through acoustic emission (AE) signals and active sensing using Lamb wave propagation, presenting amplitude-based and frequency domain approaches for damage detection. A comprehensive signal processing approach is presented, and the damage index and damage size correlation function are introduced to enable continuous monitoring due to their sensitivity to changes in material properties and defect severity. Additionally, finite element modeling and experimental validation are proposed to enhance their understanding and applicability. This research contributes to developing more efficient and cost-effective aircraft maintenance approaches through SHM, addressing the competitive demands of the aeronautic industry.

Indexed as

compositespiezoelectricpolyvinylidene fluoride (PVDF)sensorssmart composite materialsstructural health monitoringthin films

Identifiers

PMID38399002
PMCPMC10891705

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.