Porosity Determination of Carbon and Glass Fibre Reinforced Polymers Using Phase-Contrast Imaging

• Published in: Journal of nondestructive evaluation Vol. 38; no. 1; pp. 1 - 10
• Main Authors: Gusenbauer, Christian, Reiter, Michael, Plank, Bernhard, Salaberger, Dietmar, Senck, Sascha, Kastner, Johann
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2019; Springer Nature B.V
• Subjects: Absorption; Attenuation; Carbon fiber reinforced plastics; Characterization and Evaluation of Materials; Classical Mechanics; Computed tomography; Computer vision; Control; Dynamical Systems; Engineering; Fiber reinforced polymers; Glass fiber reinforced plastics; Image acquisition; Image contrast; Image processing; Medical imaging; Phase contrast; Polymers; Porosity; Reduction (metal working); Solid Mechanics; Vibration; Differential phase contrast; Carbon and glass fibre reinforced polymers; Porosity; X-ray computed tomography; Talbot-Lau grating interferometer
• ISSN: 0195-9298; 1573-4862
• DOI: 10.1007/s10921-018-0529-6

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.