Journal
COMPOSITES SCIENCE AND TECHNOLOGY
Volume 121, Issue -, Pages 25-33Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compscitech.2015.10.015
Keywords
Carbon fibres; Randomly-oriented strands; Fiber orientation; Non-destructive testing; Infrared (IR) thermography
Categories
Funding
- Canada Research Chair in Multipolar Infrared Vision (MiViM)
- Bell Helicopter Textron Canada Limited
- Bombardier Inc.
- Pratt and Whitney Canada Corp.
- Avior Integrated Products Inc.
- Delastek Inc.
- Hutchinson Inc. Canada
- CNPq, National Council for Scientific and Technological Development - Brazil [237205/2012-2]
- NSERC, Natural Sciences and Engineering Research Council of Canada
- FQRNT, Quebec Fund for Research on Nature and Technology [169398]
- CRIAQ, Consortium for Research and Innovation in Aerospace in Quebec
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In this paper, an infrared thermography technique is used to assess the fiber orientation on the surface of carbon fiber reinforced polymer (CFRP) moulded with randomly-oriented strands (ROS). Due to the randomness of the material, a point by point inspection would be very time consuming. In this paper it is proposed to use a flying laser spot technique to heat a line-region on the surface of the sample instead of a spot. During our experiments, a flying laser spot inspection was performed in 30 s while a point by point inspection of the same area would require about 25 min. An artificial neural network (ANN) was then used to estimate the fiber orientation over the heated line. The classification rate obtained with the network was 91.2% for the training stage and 71.6% for the testing stage. (C) 2015 Elsevier Ltd. All rights reserved.
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