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Multiscale characterization and representation of variability in ceramic matrix composites

Journal Article · · Journal of Composite Materials

Low density, high strength, and high creep and oxidation resistance properties of ceramic matrix composites (CMCs) make them an ideal choice for use in extreme environments in space and military applications. This paper presents a detailed characterization study of structural and manufacturing flaws in Carbon fiber Silicon-Carbide-Nitride matrix (C/SiNC) CMCs at different length-scales. Energy-dispersive spectroscopy (EDS) is used for the chemical characterization of the material’s elemental constituents. High-resolution multiscale graphs obtained from scanning electron microscope (SEM) and confocal laser scanning microscope (LSM) are used to characterize the distribution and morphology of defects at different length scales. This is followed by the classification and quantification of the common manufacturing defects. An image processing algorithm based on the image segmentation process is developed to quantify the variability of various scale-dependent architectural parameters. Finally, a three-dimensional stochastic representative volume element (SRVE) generation algorithm is developed to provide precise representations of material textures at multiple length scales. The developed algorithm accurately accounts for material features and flaws based on a range of multiscale structural and defects characterization results.

Research Organization:
Arizona State Univ., Tempe, AZ (United States)
Sponsoring Organization:
US Air Force Office of Scientific Research (AFOSR); USDOE; USDOE Office of Fossil Energy and Carbon Management (FECM)
Grant/Contract Number:
FE0031759
OSTI ID:
1763769
Alternate ID(s):
OSTI ID: 2394688
Report Number(s):
DOE--0031759
Journal Information:
Journal of Composite Materials, Journal Name: Journal of Composite Materials Journal Issue: 18 Vol. 55; ISSN 0021-9983
Publisher:
SAGE PublicationsCopyright Statement
Country of Publication:
United States
Language:
English

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