Quantitative characterization of carbon/carbon composites matrix texture based on image analysis using polarized light microscope

Yixian Li, Lehua Qi, Yongshan Song, Xianghui Hou, Hejun Li

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

A quantitative characteristic method was proposed for characterizing the matrix texture of carbon/carbon(C/C) composites, which determined the mechanical and physical properties of C/C composites. Based on the cloud theory that was commonly used for uncertain reasoning and the transformation between quantitative and qualitative characterization, so the relationship between the extinction angle and texture types was built by the cloud models for describing the texture of microstructure, moreover, linguistic controllers were established to analyze the matrix texture in accordance with the features of the polarized light microscope (PLM) image. On this basis, the extinction angle could be calculated from the PLM image of the C/C composites. In contrast to the results of measurement, the errors between calculative values and measured values were maintained 1-2° in basically. Meanwhile, the PLM image of C/C composites was segmented by the component, in particular, the matrix with mixed textures was further segmented by the difference of texture. It means that the quantitative characterization of C/C composites matrix based on single PLM image has been realized.

Original languageEnglish
Pages (from-to)908-917
Number of pages10
JournalMicroscopy Research and Technique
Volume78
Issue number10
DOIs
StatePublished - 1 Oct 2015

Keywords

  • C/C composites
  • Cloud model
  • Image process
  • Matrix
  • Quantitative characterization

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