Algorithm for monolayer boundaries identification in composite material from computer tomography images


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

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    The paper proposes an algorithm and software for the automatic detection of monolayer boundaries in layered composite materials based on a sequence of tomographic images. The relevance of the problem stems from the need to analyze the microstructure of composites to assess their mechanical properties and durability, as well as the complexity of identifying monolayer boundaries using traditional non-destructive testing methods. The developed algorithm consists of six main stages: extraction of inclusion data using filters and morphological operations, identification of reliable boundary segments with the Sobel filter, addition of crack data and processing of the obtained data for each image individually, data averaging for the entire package, construction of monolayer boundaries using geometric and empirical methods and final border refinement through an additional cycle of border construction on the aggregated monolayer data. The software accepts a sequence of tomographic images of the composite microstructure as input and outputs a set of vectors describing the coordinates of monolayer boundaries. The results are presented as visualized boundaries on output images. The proposed approach enables automation of the analysis of the internal structure of composite materials and usage of the extraccted data in computational models.
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Keywords:

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

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