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

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 stra...

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Main Authors: Stephen Young, Dayakar Penumadu, Darren Foster, Hannah Maeser, Bharati Balijepalli, Jason Reese, Dave Bank, Jeff Dahl, Patrick Blanchard
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/3/614
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spelling doaj-f276b66caa69407fbb32872f5ebbbcce2020-11-25T02:05:44ZengMDPI AGSensors1424-82202020-01-0120361410.3390/s20030614s20030614Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive ApplicationsStephen Young0Dayakar Penumadu1Darren Foster2Hannah Maeser3Bharati Balijepalli4Jason Reese5Dave Bank6Jeff Dahl7Patrick Blanchard8Tickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USATickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USATickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USATickle College of Engineering, the University of Tennessee, Knoxville, TN 37996, USAThe Dow Chemical Company, Midlands, MI 48667, USAThe Dow Chemical Company, Midlands, MI 48667, USAThe Dow Chemical Company, Midlands, MI 48667, USAFord Research & Innovation Center, Dearborn, MI 48124, USAFord Research & Innovation Center, Dearborn, MI 48124, USAStructural 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.https://www.mdpi.com/1424-8220/20/3/614fiber-optic sensingadhesivejoiningsmart-jointdistributedon-demandstructural health monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Stephen Young
Dayakar Penumadu
Darren Foster
Hannah Maeser
Bharati Balijepalli
Jason Reese
Dave Bank
Jeff Dahl
Patrick Blanchard
spellingShingle Stephen Young
Dayakar Penumadu
Darren Foster
Hannah Maeser
Bharati Balijepalli
Jason Reese
Dave Bank
Jeff Dahl
Patrick Blanchard
Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
Sensors
fiber-optic sensing
adhesive
joining
smart-joint
distributed
on-demand
structural health monitoring
author_facet Stephen Young
Dayakar Penumadu
Darren Foster
Hannah Maeser
Bharati Balijepalli
Jason Reese
Dave Bank
Jeff Dahl
Patrick Blanchard
author_sort Stephen Young
title Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
title_short Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
title_full Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
title_fullStr Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
title_full_unstemmed Smart Adhesive Joint with High-Definition Fiber-Optic Sensing for Automotive Applications
title_sort smart adhesive joint with high-definition fiber-optic sensing for automotive applications
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-01-01
description 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.
topic fiber-optic sensing
adhesive
joining
smart-joint
distributed
on-demand
structural health monitoring
url https://www.mdpi.com/1424-8220/20/3/614
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