In this study, an X-ray computer tomography-based finite element method was developed to predict the elastic modulus of a 2D plane woven carbon fiber-reinforced carborundum matrix composite. Micro-X-ray computer tomography was used to construct a geometrical model of the material. Then, the elastic parameters of each element were determined by the grey level of pixels in the images captured. A standard finite element model process was performed to calculate all of the elastic moduli of the material. In addition, a volume average method for determining the proper representative volume element size was developed to reduce the computational time without losing accuracy.
In this study, a finite element method was developed based on X-ray computer tomography to predict the elastic modulus of needle carbon-fiber-reinforced ceramic matrix composites with voids randomly existing in the material. In these pictures, every pixel point contains all of the information of the components that we need, including voids. Using this information, the mechanical properties of components can be obtained, then a finite element model with voids was built and the predicted results fit well with the experiments. In addition, a volume average method was developed to determine the proper representative volume element size to reduce the computing time without losing the accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.