title: Quantitative characterization of carbon/carbon composites matrix texture based on image analysis using polarized light microscope.
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.
authors: School of Mechatronic Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
authors: Yixian
authors: Y
authors: Li
authors: School of Mechatronic Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
authors: Lehua
authors: L
authors: Qi
authors: School of Mechatronic Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
authors: Yongshan
authors: Y
authors: Song
authors: Faculty of Engineering, Energy and Sustainability Research Division, the University of Nottingham, Nottingham, NG7 2RD, United Kingdom.
authors: Xianghui
authors: X
authors: Hou
authors: Key Laboratory of Thermostructure Composite Material, Research Institute of Carbon-Carbon Composite, Northwestern Polytechnical University, Xi'an, 710072, China.
authors: Hejun
authors: H
authors: Li
keywords: C/C composites; cloud model; image process; matrix; quantitative characterization