Microstructure characterization of CVI-densified carbon/carbon composites with various fiber distributions

被引:57
|
作者
Dietrich, S. [2 ]
Gebert, J. -M. [2 ]
Stasiuk, G. [1 ]
Wanner, A. [2 ]
Weidenmann, K. A. [2 ]
Deutschmann, O. [3 ]
Tsukrov, I. [4 ]
Piat, R. [1 ,3 ]
机构
[1] Karlsruher Inst Technol, Inst Tech Mech, D-76131 Karlsruhe, Germany
[2] KIT, Inst Angew Mat Werkstoffkunde IAM WK, D-76131 Karlsruhe, Germany
[3] Karlsruher Inst Technol, Inst Tech Chem & Polymerchem, D-76131 Karlsruhe, Germany
[4] Univ New Hampshire, Durham, NH 03824 USA
基金
美国国家科学基金会;
关键词
Carbon fibers; Porosity; Statistics; Chemical vapor infiltration (CVI); Microcomputed tomography; CHEMICAL-VAPOR INFILTRATION; DENSIFICATION; FELT; PYROCARBON; STRENGTH; KINETICS; MATRIX; ORIENTATION; CHEMISTRY; TENSILE;
D O I
10.1016/j.compscitech.2012.08.009
中图分类号
TB33 [复合材料];
学科分类号
摘要
Mechanical behavior of multi-phase composites is crucially influenced by volume fractions, orientation distributions and geometries of microconstituents. In the case of carbon-carbon composites manufactured by chemical vapor infiltration, the microconstituents are carbon fibers, pyrolytic carbon matrix, and pores. The local variable thickness of the pyrolytic carbon coating, distribution of the fibers and porosity are the main factors influencing the properties of these materials. Two types of fiber arrangements are considered in this paper: 2D laminated preform and random felt. The materials are characterized by determining their densities and their fiber distribution functions, by establishing types of pyrolytic carbon matrix present in the composites, and by studying the porosity. A technique utilizing X-ray computed tomography for estimation of the orientation distribution of the fibers and pores with arbitrary shapes is developed. A methodology based on the processing of microstructure images with subsequent numerical simulation of the coating growth around the fibers is proposed for estimation of the local thickness of the coating. The obtained information is appropriate for micromechanical modeling and prediction of the overall thermo-mechanical properties of the studied composites. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1892 / 1900
页数:9
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