Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications.

adhesive distributed fiber-optic sensing joining on-demand smart-joint structural health monitoring

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Jan 2020
Historique:
received: 24 12 2019
revised: 18 01 2020
accepted: 20 01 2020
entrez: 26 1 2020
pubmed: 26 1 2020
medline: 26 1 2020
Statut: epublish

Résumé

Structural health monitoring of fiber-reinforced composite-based joints for automotive applications during their manufacturing and on-demand assessment for its durability in working environments is critically needed. High-definition fiber-optic sensing is an effective method to measure internal strain/stress development using minimally invasive continuous sensors. The sensing fiber diameters are in the same order of magnitude when compared to reinforcement (glass, basalt, or carbon fibers) used in polymer composites. They also offer a unique ability to monitor the evolution of residual stresses after repeated thermal exposure with varying temperatures for automotive components/joints during painting using an electrophoretic painting process. In this paper, a high-definition fiber-optic sensor utilizing Rayleigh scattering is embedded within an adhesive joint between a carbon fiber-reinforced thermoset composite panel and an aluminum panel to measure spatially resolved strain development, residual strain, and thermal expansion properties during the electrophoretic paint process-simulated conditions. The strain measured by the continuous fiber-optic sensor was compared with an alternate technique using thermal digital image correlation. The fiber-optic sensor was able to identify the spatial variation of residual strains for a discontinuous carbon fiber-reinforced composite with varying local fiber orientations and resin content.

Identifiants

pubmed: 31979143
pii: s20030614
doi: 10.3390/s20030614
pmc: PMC7038359
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE)
ID : DE-AC36-08GO28308

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

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Auteurs

Stephen Young (S)

Tickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USA.

Dayakar Penumadu (D)

Tickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USA.

Darren Foster (D)

Tickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USA.

Hannah Maeser (H)

Tickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USA.

Bharati Balijepalli (B)

The Dow Chemical Company, Midlands, MI 48667, USA.

Jason Reese (J)

The Dow Chemical Company, Midlands, MI 48667, USA.

Dave Bank (D)

The Dow Chemical Company, Midlands, MI 48667, USA.

Jeff Dahl (J)

Ford Research & Innovation Center, Dearborn, MI 48124, USA.

Patrick Blanchard (P)

Ford Research & Innovation Center, Dearborn, MI 48124, USA.

Classifications MeSH