Abstract:
A problem of determining the fiber volume fraction in fiber-reinforced strands of fabric-based laminated composites is considered. As a source of information about the structure of the material, digital micrographs of the ground surface of the cross-sections of the composites are used. Methods and features of the analysis of raster microscopic images of heterogeneous material associated with variable pixel brightness and blurring of the "fiber-binder" boundaries are discussed. To make the image processing less labor-intensive and more objective, a special autoencoder is proposed and built. The study of the structure of a typical structural carbon fiber-reinforced plastic is illustrated by an end-to-end demonstration example. A significant acceleration of the image processing process using the convolutional autoencoder and a good agreement of the results with a careful manual analysis are shown.
This work was financially supported by the RF Ministry of Science and Higher Education of the Russian Federation under the project FSSS-2020-0016.
Received: 14.01.2022 Accepted: 15.03.2022
Document Type:
Article
Language: Russian
Citation:
V. A. Komarov, A. A. Pavlov, “Determination of fibers volume fraction in layered composite materials by optical methods”, Computer Optics, 46:3 (2022), 473–478
\Bibitem{KomPav22}
\by V.~A.~Komarov, A.~A.~Pavlov
\paper Determination of fibers volume fraction in layered composite materials by optical methods
\jour Computer Optics
\yr 2022
\vol 46
\issue 3
\pages 473--478
\mathnet{http://mi.mathnet.ru/co1036}
\crossref{https://doi.org/10.18287/2412-6179-CO-1068}
Linking options:
https://www.mathnet.ru/eng/co1036
https://www.mathnet.ru/eng/co/v46/i3/p473
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