TY - JOUR
T1 - Porosity determination of carbon and glass fibre reinforced polymers using phase-contrast imaging
AU - Gusenbauer, Christian
AU - Reiter, Michael
AU - Plank, Bernhard
AU - Salaberger, Dietmar
AU - Senck, Sascha
AU - Kastner, Johann
N1 - Funding Information:
Acknowledgements Open access funding was provided by University of Applied Sciences Upper Austria. This work was supported by the K-Project for “non-destructive testing and tomography plus” (ZPT+) and by the COMET program of FFG and the federal government of Upper Austria and Styria and supported by the Project “multimodal and in situ characterization of inhomogeneous materials” (MiCi) by the federal government of Upper Austria and the European Regional Development Fund (EFRE) in the framework of the EU-Program IWB2020.
Publisher Copyright:
© 2018, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2019/3
Y1 - 2019/3
N2 - This paper presents multi-modal image data of different fibre reinforced polymer samples acquired with a desktop Talbot-Lau grating interferometer (TLGI) X-ray computed tomography (XCT) system and compare the results with images acquired using conventional absorption-based XCT. Two different fibre reinforced polymer samples are investigated: (i) a carbon fibre reinforced polymer (CFRP) featuring a copper mesh embedded near the surface for lightning conduction and (ii) a short glass fibre reinforced polymer (GFRP) sample. The primary goal is the non-destructive detection of internal defects such as pores and the quantification of porosity. TLGI provides three imaging modalities including attenuation contrast (AC) due to absorption, differential phase contrast (DPC) due to refraction and dark-field contrast (DFC) due to scattering. In the case of the CFRP sample, DPC is less prone to metal streak artefacts improving the detection of pores that are located close to metal components. In addition, results of a metal artefact reduction (MAR) method, based on sinogram inpainting and an image fusion concept for AC, DPC and DPC, are presented. In the case of the GFRP sample, DPC between glass fibres and matrix is lower compared to AC while DPC shows an increased contrast between pores and its matrix. Porosity for the CFRP sample is determined by applying an appropriate global thresholding technique while an additional background removal is necessary for the GFRP sample.
AB - This paper presents multi-modal image data of different fibre reinforced polymer samples acquired with a desktop Talbot-Lau grating interferometer (TLGI) X-ray computed tomography (XCT) system and compare the results with images acquired using conventional absorption-based XCT. Two different fibre reinforced polymer samples are investigated: (i) a carbon fibre reinforced polymer (CFRP) featuring a copper mesh embedded near the surface for lightning conduction and (ii) a short glass fibre reinforced polymer (GFRP) sample. The primary goal is the non-destructive detection of internal defects such as pores and the quantification of porosity. TLGI provides three imaging modalities including attenuation contrast (AC) due to absorption, differential phase contrast (DPC) due to refraction and dark-field contrast (DFC) due to scattering. In the case of the CFRP sample, DPC is less prone to metal streak artefacts improving the detection of pores that are located close to metal components. In addition, results of a metal artefact reduction (MAR) method, based on sinogram inpainting and an image fusion concept for AC, DPC and DPC, are presented. In the case of the GFRP sample, DPC between glass fibres and matrix is lower compared to AC while DPC shows an increased contrast between pores and its matrix. Porosity for the CFRP sample is determined by applying an appropriate global thresholding technique while an additional background removal is necessary for the GFRP sample.
KW - Mikro-Computertomographie
KW - Mikro-Computertomographie
KW - Talbot-Lau grating interferometer
KW - X-ray computed tomography
KW - Carbon and glass fibre reinforced polymers
KW - Differential phase contrast
KW - Porosity
UR - https://link.springer.com/article/10.1007/s10921-018-0529-6
U2 - 10.1007/s10921-018-0529-6
DO - 10.1007/s10921-018-0529-6
M3 - Article
SN - 0195-9298
VL - 38
SP - 1
EP - 10
JO - Journal of Nondestructive Evaluation
JF - Journal of Nondestructive Evaluation
IS - 1
M1 - 1
ER -