Random void modeling for carbon fibre reinforced composite with highly dispersed void size

Based on the random void model (RVM) proposed upon random medium theory and statistical method, the modeling principles of porosity in carbon fiber reinforced composite were investigated. The porosities of the samples were 4.08% and 4.20% and the corresponding void length was in the range of 6.34-21...

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Bibliographic Details
Published inHang kong cai liao xue bao Vol. 33; no. 3; pp. 81 - 85
Main Authors Liang, Xiang-Yu, Lin, Li, Chen, Jun, Ding, Shan-Shan, Li, Xi-Meng
Format Journal Article
LanguageChinese
Published 01.06.2013
Subjects
Aeronautics
Mathematical models
Porosity
Samples
Similarity
Statistical analysis
Statistical methods
Voids
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Summary:Based on the random void model (RVM) proposed upon random medium theory and statistical method, the modeling principles of porosity in carbon fiber reinforced composite were investigated. The porosities of the samples were 4.08% and 4.20% and the corresponding void length was in the range of 6.34-216.78 mu m and 6.34-722.25 mu m respectively. The voids were graded according to the length level. Model for each level was established. 2-D reconstructions were achieved by superposing models of all levels and compared with experimental micrographic results. It shows higher geometric similarity between the modeling results and the experimental results, which would provide valuable references for the future numerical calculations.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1005-5053
DOI:10.3969/j.issn.1005-5053.2013.3.015