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The analysis of textures of materials by the component method in combination with other ODF restoration methods

https://doi.org/10.26896/1028-6861-2025-91-5-24-30

Abstract

Crystallographic texture has a significant impact on the properties of materials, therefor the problem of texture descriptions by means of standard components is topical. The current work presents the results of texture analysis of various materials by via the component method in combination with other methods of orientation distribution function (ODF) restoration for simplification of initial guess determination. The calculations were carried out using a software, developed for the ODF restoration from incomplete direct pole figures by the means of component method. The developed software was used for the ODF restoration of the model Santa Fe texture and experimental texture of Mg – 4.5% Nd alloy sample, subjected to hot pressing. For the model texture, sets of initial approximations with one obviously false component were used. For the experimentally obtained texture, the axial components determined from the experimental data were used as an initial guess. In both cases there is a good agreement between experimental and calculated data. A method for simplifying the determination of initial restoration parameters was also proposed and tested. The results obtained using the presented method make it possible to evaluate the influence of individual components on the properties of the studied materials, and the properties modeling allows more efficient use of texture studies in the development of a technology for creating materials with desired properties.

About the Author

A. S. Kolyanova
A. A. Baikov Institute of Metallurgy and Materials Science, RAS
Russian Federation

Alexandra S. Kolyanova

49, Leninsky prosp., Moscow, 119334



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For citations:


Kolyanova A.S. The analysis of textures of materials by the component method in combination with other ODF restoration methods. Industrial laboratory. Diagnostics of materials. 2025;91(5):24-30. (In Russ.) https://doi.org/10.26896/1028-6861-2025-91-5-24-30

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ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)