Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation

Hai Zhang, Nicolas P. Avdelidis, Ahmad Osman, Clemente Ibarra-Castanedo, Stefano Sfarra, Henrique Fernandes, Theodore E. Matikas, Xavier P.V. Maldague

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.

Original languageEnglish
Article number45
JournalSensors (Switzerland)
Volume18
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

glass fibers
carbon fibers
Glass fibers
Carbon fibers
image processing
Image processing
preprocessing
Infrared radiation
composite materials
evaluation
Composite materials
Processing
Hot Temperature
Post and Core Technique
carbon fiber reinforced plastics
Ultrasonic testing
Carbon fiber reinforced plastics
Signal-To-Noise Ratio
Ultrasonics
smoothing

Keywords

  • Composite
  • Infraredthermography
  • Low-orderderivative
  • Low-velocity impact
  • Polynomial fitting

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Zhang, H., Avdelidis, N. P., Osman, A., Ibarra-Castanedo, C., Sfarra, S., Fernandes, H., ... Maldague, X. P. V. (2018). Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation. Sensors (Switzerland), 18(1), [45]. https://doi.org/10.3390/s18010045

Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation. / Zhang, Hai; Avdelidis, Nicolas P.; Osman, Ahmad; Ibarra-Castanedo, Clemente; Sfarra, Stefano; Fernandes, Henrique; Matikas, Theodore E.; Maldague, Xavier P.V.

In: Sensors (Switzerland), Vol. 18, No. 1, 45, 01.01.2018.

Research output: Contribution to journalArticle

Zhang, H, Avdelidis, NP, Osman, A, Ibarra-Castanedo, C, Sfarra, S, Fernandes, H, Matikas, TE & Maldague, XPV 2018, 'Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation', Sensors (Switzerland), vol. 18, no. 1, 45. https://doi.org/10.3390/s18010045
Zhang, Hai ; Avdelidis, Nicolas P. ; Osman, Ahmad ; Ibarra-Castanedo, Clemente ; Sfarra, Stefano ; Fernandes, Henrique ; Matikas, Theodore E. ; Maldague, Xavier P.V. / Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation. In: Sensors (Switzerland). 2018 ; Vol. 18, No. 1.
@article{9125beeea0094d768c5d109a254e7118,
title = "Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation",
abstract = "In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.",
keywords = "Composite, Infraredthermography, Low-orderderivative, Low-velocity impact, Polynomial fitting",
author = "Hai Zhang and Avdelidis, {Nicolas P.} and Ahmad Osman and Clemente Ibarra-Castanedo and Stefano Sfarra and Henrique Fernandes and Matikas, {Theodore E.} and Maldague, {Xavier P.V.}",
year = "2018",
month = "1",
day = "1",
doi = "10.3390/s18010045",
language = "English",
volume = "18",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

TY - JOUR

T1 - Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation

AU - Zhang, Hai

AU - Avdelidis, Nicolas P.

AU - Osman, Ahmad

AU - Ibarra-Castanedo, Clemente

AU - Sfarra, Stefano

AU - Fernandes, Henrique

AU - Matikas, Theodore E.

AU - Maldague, Xavier P.V.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.

AB - In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.

KW - Composite

KW - Infraredthermography

KW - Low-orderderivative

KW - Low-velocity impact

KW - Polynomial fitting

UR - http://www.scopus.com/inward/record.url?scp=85039697674&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85039697674&partnerID=8YFLogxK

U2 - 10.3390/s18010045

DO - 10.3390/s18010045

M3 - Article

VL - 18

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 1

M1 - 45

ER -