Thermal imaging dataset from composite material academic samples inspected by pulsed thermography.
Composite materials
Non-destructive testing
Pulsed thermography
Thermal imaging
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
received:
08
08
2020
revised:
09
09
2020
accepted:
09
09
2020
entrez:
30
9
2020
pubmed:
1
10
2020
medline:
1
10
2020
Statut:
epublish
Résumé
This paper presents a thermal imaging dataset from composite material samples (carbon and glass fiber reinforced plastic) that were inspected by pulsed thermography with the goal of detecting and characterizing subsurface defective zones (Teflon inserts representing delaminations between plies). The pulsed thermography experiment was applied to 6 academic plates (inspected from both sides) all having the dimensions of 300 mm x 300 mm x 2 mm and same distribution of defects but made of different materials: three plates on carbon fiber-reinforced plastic (CFRP) and three plates made on glass fiber reinforced plastic (GFRP) specimens with three different geometries: planar, curved and trapezoidal. Each plate contains 25 inserts having length/depth ratios between 1.7 and 75. Two FX60 BALCAR photographic flashes (6.2 kJ per flash) were used to generate the heat pulse (2 ms duration), an X6900 FLIR infrared camera using ResearchIR software to record the thermal images and a custom-built software/control unit to synchronize data recording with pulse generation. Finally, the dataset proposed consists of 12 sequences of approximately 2000 images of 512 × 512 pixels each.
Identifiants
pubmed: 32995401
doi: 10.1016/j.dib.2020.106313
pii: S2352-3409(20)31207-5
pmc: PMC7508994
doi:
Types de publication
Journal Article
Langues
eng
Pagination
106313Informations de copyright
© 2020 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.
Références
Appl Opt. 2020 May 10;59(14):4303-4313
pubmed: 32400406