Detection of Out-of-Plane Waviness in Carbon-Fibre Reinforced Plastics - Comparing different Non-Destructive Evaluation Modalities

Rylan Gomes*, Ehsan Mohseni, S. G. Pierce, Kenneth Burnham, Amine Hifi, Charles N. MacLeod, Vincent Maes, Matthew Chandler, Andy Barnes, Gavin Munro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
10 Downloads (Pure)

Abstract

The detection of fibre wrinkles (out-of-plane waviness) is investigated using Eddy Current (ECT), Ultrasonic Testing (UT) and X-ray and is compared on 9 Carbon Fibre Reinforced Plastic (CFRP) samples with varying wrinkle heights. All three Non-Destructive Evaluation (NDE) modalities demonstrated detection capabilities for wrinkle heights 0.13 - 1.31 mm, with UT being able to map the interior structure of the composite material, which was further used to measure the distortion of plies caused due to the presence of wrinkles using an image processing technique.
Original languageEnglish
Title of host publication2024 IEEE SENSORS
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9798350363517
ISBN (Print)979-8-3503-6352-4
DOIs
Publication statusPublished - 17 Dec 2024
Event2024 IEEE Sensors, SENSORS 2024 - Kobe Portopia Hotel, Kobe, Japan
Duration: 20 Oct 202423 Oct 2024
https://2024.ieee-sensorsconference.org/

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2024 IEEE Sensors, SENSORS 2024
Country/TerritoryJapan
CityKobe
Period20/10/2423/10/24
Internet address

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Carbon Fibre composites
  • Eddy Current Testing
  • Out-of-plane waviness
  • Ultrasonic Testing
  • X-ray Testing

Fingerprint

Dive into the research topics of 'Detection of Out-of-Plane Waviness in Carbon-Fibre Reinforced Plastics - Comparing different Non-Destructive Evaluation Modalities'. Together they form a unique fingerprint.

Cite this