Computational diagnostics of cracks and delaminations using a tomographic approach and a sample of the object under study as a reference
DOI: 10.21293/1818-0442-2023-26-4-95-101
Abstract: The development of an approach to solve problems of industrial flaw detection, using information about the standard state of the object under study, is considered. The proposed tomographic reconstruction algorithm is based on the use of a priori information about the reference sample. In the case of industrial tomography, we are dealing with a standard product which entire structure is known in advance; therefore, it is advisable to use this data as a priori information when solving the inverse problem of tomographic reconstruction. The results of numerical experiments for a simplified model of the product are presented. The proposed algorithm demonstrates its efficiency in situations where the classical algorithm can no longer cope. Conclusions are drawn about the prospects of using this approach in diagnosing defects such as delaminations and cracks in industrial products.
Keywords: computed tomography, flaw detection, region of interest tomography, reference sample, computational-heuristic algorithm
Funding: The work was carried out with the financial support of the Novosibirsk State Technical University.
For citation:
Peshkov A. V. Computational diagnostics of cracks and delaminations using a tomographic approach and a sample of the object under study as a reference. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2023, vol. 26, no. 4, pp. 95–101. DOI: 10.21293/1818-0442-2023-26-4-95-101
Authors and copyright holders:
- Peshkov A. V. , Novosibirsk State Technical University (Novosibirsk, Russia)
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