Relation Between the Morphology of Different-Nature Ductile Fractures and Properties of Structural Steels

Kudrya, A. V.; Sokolovskaya, E. A.; Le, Nguyen-Anh-Vu; Ngo, H. N.

doi:10.1007/s11041-018-0267-5

Cited by 9 publications

(2 citation statements)

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“…In this paper, each image of the fracture surface was considered as a complexly organized system, which is characterized by a significant group and individual variations. This approach, in our opinion, allows us to adequately assess its geometric features, namely, to combine the common diagnostic features with stochasticity both in the structure of the stage and in the structure of the entire image, and to develop reliable methods for determining invariant informational features [28,29].…”

Section: Results Of the Analysis Of The Number Of Dimples Of Tearingmentioning

confidence: 99%

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Morphological Characteristics of Dimples of Ductile Fracture of VT23M Titanium Alloy and Identification of Dimples on Fractograms of Different Scale

et al. 2019

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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.

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Section: Results Of the Analysis Of The Number Of Dimples Of Tearingmentioning

confidence: 99%

“…The nature of the surface damage accumulation was determined by the parameters of the dimples of tearing located on it [8,29]. It is established empirically that the dimple shape coefficient is informative for their classification.…”

Section: Methods Of Macro-analysis Of Fracture Surfacesmentioning

confidence: 99%