Abstract
The authors developed a method for the automated detection and calculation of quantitative parameters of dimples of ductile fracture on the digital images of fracture surfaces obtained at different scales. The processing algorithm of fractographic images was proposed, which allowed high quality recognition of the shape and size of dimples to be achieved, taking into account the morphological features of their digital images. The developed method for identifying dimples of various physical and morphological characteristics was tested on the VT23M alloy. The test results showed that the method meets the quality requirements for the automated diagnostics of fracture mechanisms of titanium alloys.
Subject
General Materials Science
Reference34 articles.
1. Manufacture by selective laser melting and mechanical behavior of commercially pure titanium
2. Effect of α″ martensite on the microstructure and mechanical properties of beta-type Ti–Fe–Ta alloys
3. Evaluation of mechanical and wear properties of Ti xNb 7Fe alloys designed for biomedical applications
4. Risks associated with the use of high-strength titanium alloys in transportation systems;Chausov,2018
5. A Method for the Improvement of Plastic Properties of Sheet Two-Phase High-Strength Titanium Alloys Caused by Impact-Oscillatory Loading: Scientific and Methodical Recommendations for the Ukrainian Plants for the Design of Production of Agricultural Equipment;Chausov,2017
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