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Russian Journal of Nondestructive Testing
Erschienen in: Russian Journal of Nondestructive Testing 5/2019

01.05.2019 | OPTICAL METHODS

Applying Digital Image Correlation Technique for Studying the Growth of a Fatigue Crack in VT23 Titanium Alloy Welded Joints

verfasst von: A. V. Eremin, A. S. Smirnova, S. V. Panin, Yu. I. Pochivalov

Erschienen in: Russian Journal of Nondestructive Testing | Ausgabe 5/2019

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Abstract

We present results of applying a combined approach to studying fatigue fracture processes in VT23 titanium alloy with a laser-welded joint. The approach involves fractographic examination using scanning electron microscopy and analysis of strain fields at the sample surface (using digital image correlation technique). Samples with permanent connections are presented in two forms: in the initial state and subjected to post-welding treatment by ultrasonic forging and pulsed high-energy impact. It is shown that applying the proposed integrated approach to the analysis of fatigue fracture has allowed identifying features in the development of processes of nucleation and propagation of cracks and locating them in the bulk of the material, as well as determining running times after which transition from one stage to another takes place: crack initiation, stable growth, and rupture. The results have made it possible to explain the mechanisms of how post-welding treatment of permanent joints affects their fatigue properties.
Vorheriger Artikel On the Possibility of Evaluating Magnetostriction Characteristics of Bulk Ferromagnets Based on Their Magnetic Properties
Nächster Artikel Attempt to Detect Nano Oil Film on the Surface of Polished KDP Crystal

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Metadaten
Titel
Applying Digital Image Correlation Technique for Studying the Growth of a Fatigue Crack in VT23 Titanium Alloy Welded Joints
verfasst von
A. V. Eremin
A. S. Smirnova
S. V. Panin
Yu. I. Pochivalov
Publikationsdatum
01.05.2019
Verlag
Pleiades Publishing
Erschienen in
Russian Journal of Nondestructive Testing / Ausgabe 5/2019
Print ISSN: 1061-8309
Elektronische ISSN: 1608-3385
DOI
https://doi.org/10.1134/S1061830919050036

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