Method for tomographic images processing for matrix cracking quantification in composite material

Аuthors

Panteleev A. ^*, Turbin N. V.^**, Tuchkov N. A., Talia R. L., Akhmedov I. A.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: avpanteleev@inbox.ru
**e-mail: turbinnv@mai.ru

Abstract

The paper proposes an algorithm and software for automatic detection and analysis of transverse microcracks in layered composite materials based on a sequence of tomographic images. The relevance of the problem is due to the influence of microcracks on the operational and fundamental mechanical characteristics of composites, as well as the complexity of their detection by traditional non-destructive testing methods. The proposed two-stage algorithm includes a primary analysis of individual tomographic slices based on a combination of filtering methods, adaptive and simple binarization, boundary detection, a series of morphological transformations, and the Suzuki algorithm for finding contours. This stage is aimed at identifying potential crack areas and separating them from interlayer inclusions by analyzing and "subtracting" horizontal patterns from vertical ones. Secondary analysis is aimed at refining and tracking cracks along a sequence of slices. This step includes the formation of crack region sequences, filling in missing elements in these sequences by averaging coordinates, adjusting region sizes using the simple moving average method, checking the linearity of crack displacement using the second-order polynomial approximation using the least squares method, merging disparate sequences describing a single crack, and adding previously unidentified but relevant regions to existing trajectories based on the predicted position. The generated software accepts a sequence of composite microstructure images as input. The result of the work is a matrix with the coordinates of the upper left corner, the height and width of the identified cracks for each analyzed image, as well as output images with visualized crack regions. The proposed process allows automating the process of quality control and research of the internal structure of composite materials.

Keywords:

composite material, matrix cracking, computer tomography, filtration, binarization, morphological transformations

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