TY - JOUR
T1 - Multiscale characterization and representation of variability in ceramic matrix composites
AU - Khafagy, Khaled H.
AU - Datta, Siddhant
AU - Chattopadhyay, Aditi
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research reported in this paper is supported by funds from the Air Force Office of Scientific Research (Grant FA9550-18-1-00129, Project Manager: Jaimie Tiley), and Department of Energy (Grant DE‐FOA‐0001993, Project Managers: Matthew F. Adams).
Publisher Copyright:
© The Author(s) 2021.
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
KW - Ceramic matrix composites
KW - defects
KW - multiscale materials characterization
KW - stochastic microstructure generation algorithm
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U2 - 10.1177/0021998320978445
DO - 10.1177/0021998320978445
M3 - Article
AN - SCOPUS:85100584518
SN - 0021-9983
VL - 55
SP - 2431
EP - 2441
JO - Journal of Composite Materials
JF - Journal of Composite Materials
IS - 18
ER -