POLYMERS AND POLYMER MATRIX COMPOSITES |
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Digital Modeling of the Natural Microstructures and Evaluation of the Overall Anisotropic Moduli of Ceramic Matrix Composites Toughened by Continuous SiC Fiber Bundles |
CAI Xingrui1, WAN Yifei1, LI Hanchao2, SONG Jialing1, FENG Zhiqiang1, ZENG Qingfeng3, GUAN Kang4, LIU Jiantao1,*
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1 College of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China 2 School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China 3 School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China 4 School of Materials Science and Engineering, South China University of Technology, Guangzhou 510641, China |
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Abstract To properly overcome the difficulties in modeling the anisotropy of continuous toughening phases and in predicting the overall moduli of ceramic matrix composites, this work developed an automatic digital methodology for modeling the complex roughly periodic microstructures together with a convenient technique for assigning the anisotropic material properties of the relevant performs of ceramic matrix composites (CMCs) by combining the level set method and the finite element method. Meanwhile, the CMC toughened by the two-dimensional SiC woven fabric (SiCf/SiC) was taken as an illustration to establish the multiscale computational strategy of accurately evaluating the overall anisotropic moduli of SiCf/SiC taking account of the natural pore effects based on the micromechanics scheme and self-programming. The validity of the digital modeling methodology as well as the computational algorithm for predicting the overall modli of SiCf/SiC in this study was demonstrated by comparing the numerical predictions with the experimental data in the open literature. Furthermore, the influence of the natural pore shapes and the waviness ratio of the fiber bundles were investigated in detail.
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Published:
Online: 2023-07-10
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Fund:National Key R & D Program of China(2017YFB0703200), National Science and Technology Major Project(2017-Ⅵ-0007-0077), the National Natural Science Foundation of China (51305362,51702100), and Sichuan Youth Science and Technology Innovation Team(2017TD001). |
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