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Determination of fibers volume fraction in layered composite materials by optical methods
V.A. Komarov 1, A.A. Pavlov 1

1 Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34

 PDF, 1389 kB

DOI: 10.18287/2412-6179-CO-1068

Pages: 473-478.

Full text of article: Russian language.

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.

Keywords:
composite, fiber, volume fraction, micrograph, image processing, autoencoder.

Citation:
Komarov VA, Pavlov AA. Determination of fibers volume fraction in layered composite materials by optical methods. Computer Optics 2022; 46(3): 473-478. DOI: 10.18287/2412-6179-CO-1068.

Acknowledgements:
This work was financially supported by the RF Ministry of Science and Higher Education of the Russian Federation under the project FSSS-2020-0016.

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