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Prediction of Material Properties of Ceramic Composite Material by Porous Structure and Porosity Using the Finite Element Method

Authors
  • Lee, Dong Gyu1
  • Kim, Soo-Hyun2
  • Kim, Seyoung2
  • Yu, Ji Haeng2
  • Cho, Seong Wook1
  • 1 Chung-Ang University, School of Mechanical Engineering, 221 Hukseok-Dong, Dongjak-Gu, Seoul, 156-756, Republic of Korea , Seoul (South Korea)
  • 2 Korea Institute of Energy Research, Energy Materials Laboratory, Jang-dong 71-2, Daejeon, 305-343, Republic of Korea , Daejeon (South Korea)
Type
Published Article
Journal
International Journal of Precision Engineering and Manufacturing
Publisher
Korean Society for Precision Engineering
Publication Date
Apr 16, 2019
Pages
1–10
Identifiers
DOI: 10.1007/s12541-019-00127-8
Source
Springer Nature
Keywords
License
Yellow

Abstract

Recently, the use of ceramic composite materials in various areas has been increasing. However, since detailed structures have various porous structures according to the characteristics of the ceramic composite material, it is difficult to predict material properties through simple material experiments. If the detailed structure of ceramic composite materials were metal or other simple and regular forms, it would be possible to predict material properties through experiments or analysis. However, as porous ceramic materials have an irregular structure and random form, it is very difficult to predict their material properties through simple methods and actual material experiments must be conducted several or even dozens of times to predict the material properties with statistical analysis techniques. Therefore, this study uses FEM to predict the porous type or pore ratio of ceramic composite materials and the changes in material properties according to their detailed structure. It attempt to predict the maximum and minimum values of actual material properties. Through the results of this study, it is possible to more easily predict the material properties of ceramic composite materials by porosity and pore dispersity or adjacency. The results can be applied to the manufacturing of parts and structural analysis of models made from ceramic composite materials.

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