Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components

Autor: Simon Zabler, Katja Schladitz, Kilian Dremel, Dascha Dobrovolskij, Günter Lohfink, Thomas Baranowski, Astrid Hölzing
Přispěvatelé: Publica
Jazyk: angličtina
Rok vydání: 2020
Předmět:
FOS: Computer and information sciences
Materials science
Physics - Instrumentation and Detectors
Computer Vision and Pattern Recognition (cs.CV)
Computer Science - Computer Vision and Pattern Recognition
FOS: Physical sciences
02 engineering and technology
Fiber-reinforced composite
010402 general chemistry
01 natural sciences
Rendering (computer graphics)
Optics
Region of interest
FOS: Electrical engineering
electronic engineering
information engineering

Composite material
chemistry.chemical_classification
business.industry
Image and Video Processing (eess.IV)
General Engineering
X-ray
Instrumentation and Detectors (physics.ins-det)
Polymer
Fibre-reinforced plastic
Electrical Engineering and Systems Science - Image and Video Processing
021001 nanoscience & nanotechnology
0104 chemical sciences
chemistry
Ceramics and Composites
Millimeter
Tomography
0210 nano-technology
business
Popis: The local fiber orientation is a micro-structural feature crucial for the mechanical properties of parts made from fiber reinforced polymers. It can be determined from micro-computed tomography data and subsequent quantitative analysis of the resulting 3D images. However, although being by nature non-destructive, this method so far has required to cut samples of a few millimeter edge length in order to achieve the high lateral resolution needed for the analysis. Here, we report on the successful combination of region-of-interest scanning with structure texture orientation analysis rendering the above described approach truly non-destructive. Several regions of interest in a large bearing part from the automotive industry made of fiber reinforced polymer are scanned and analyzed. Differences of these regions with respect to local fiber orientation are quantified. Moreover, consistency of the analysis based on scans at varying lateral resolutions is proved. Finally, measured and numerically simulated orientation tensors are compared for one of the regions.
Databáze: OpenAIRE