Cargando…
Investigation of the Rupture Surface of the Titanium Alloy Using Convolutional Neural Networks
The research of fractographic images of metals is an important method that allows obtaining valuable information about the physical and mechanical properties of a metallic specimen, determining the causes of its fracture, and developing models for optimizing its properties. One of the main lines of...
Autores principales: | Konovalenko, Ihor, Maruschak, Pavlo, Prentkovskis, Olegas, Junevičius, Raimundas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316954/ https://www.ncbi.nlm.nih.gov/pubmed/30563063 http://dx.doi.org/10.3390/ma11122467 |
Ejemplares similares
-
Morphological Characteristics of Dimples of Ductile Fracture of VT23M Titanium Alloy and Identification of Dimples on Fractograms of Different Scale
por: Konovalenko, Ihor, et al.
Publicado: (2019) -
Plastic Anisotropy Effect on Variation of Mechanical and Structural Properties of VT23 Titanium Alloy Subjected to Impact-Oscillatory Loading
por: Chausov, Mykola, et al.
Publicado: (2022) -
Properties Evaluation of the Welded Joints Made by Disk Laser
por: Viňáš, Ján, et al.
Publicado: (2021) -
Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation
por: Šabanovič, Eldar, et al.
Publicado: (2020) -
Mechanical Properties of Gas Main Steels after Long-Term Operation and Peculiarities of Their Fracture Surface Morphology
por: Hutsaylyuk, Volodymyr, et al.
Publicado: (2019)