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Structure Quantification and Gestalt of Continuous Fiber Reinforced Composite Microstructures for ICME

Published online by Cambridge University Press:  19 August 2014

Stephen Bricker ,
J.P. Simmons ,
Craig Przybyla  and
Russell Hardie
Stephen Bricker
Affiliation:
Air Force Research Lab, Wright Patterson Air Force Base, OH 45433, U.S.A. University of Dayton Research Institute, 1700 S. Patterson Blvd., Dayton, OH 45469, U.S.A.
J.P. Simmons
Affiliation:
Air Force Research Lab, Wright Patterson Air Force Base, OH 45433, U.S.A.
Craig Przybyla*
Affiliation:
Air Force Research Lab, Wright Patterson Air Force Base, OH 45433, U.S.A.
Russell Hardie
Affiliation:
University of Dayton Research Institute, 1700 S. Patterson Blvd., Dayton, OH 45469, U.S.A.
*
*Corresponding Author: craig.przybyla@us.af.mil
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Abstract

Continuous fiber reinforced composites (RFC) are hierarchal and complex at multiple scales. In this work, tools are developed to automate the 3D characterization and quantification of the overall microstructure. Structure quantification enables accurate representation for material simulation and property prediction for the integrated computation materials engineering (ICME) of RFC based components. Relationships are developed to describe the key attributes of the microstructure at multiple scales including the individual fibers, tows, weave, porosity, and secondary matrix phases, which are treated as 'gestalts' of the structure. Here gestalt refers to the essence of shape or complete form of key features of the microstructure such as those of the tow architecture of the textile. Visualization tools are developed based on an artificial color scheme that allow the visual recognition of whole tows instead of just the collection of simple lines and curves representative of the fibers, which provides means whereby the gestalt of the microstructure can be visualized at the tow scale. These tools are demonstrated using a 3D dataset of the SiNC/SiC S200 ceramic matrix composite material (CMC) obtained via automated serial sectioning. Methods are then demonstrated to generate microstructure models representative of the characterized material for finite element analyses (FEA).

Keywords

compositedefectsoptical metallography
Type
Articles
Information
MRS Online Proceedings Library (OPL) , Volume 1709: Symposium WW – Materials by Design—Merging Advanced In-Situ Characterization with Predictive Simulation , 2014 , mrss14-1709-ww09-07
Copyright
Copyright © Materials Research Society 2014 

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