Determining the Resource of Safe Operation for Objects by Images

In this paper, a systematic study of the microstructure damage process of metals and alloys was carried out. The main elements of the microstructure surface image, as well as the rules for the formation and interaction of rough slip traces and cracks to determine the model of damage accumulation on the image of the microstructure surface under cyclic loading are determined. A classifier that allows to determine the number of loading cycles before a sample goes out of service is proposed. A modernized structure of the convolutional neural network was developed to classify images of the damaged microstructure of the metals and alloys surface. The proposed classifier for determining the number of loading cycles made it possible to achieve a classification accuracy of 78.43%.

Субструктура интерметаллического соединения Cu-=SUB=-3-=/SUB=-Sn в тонкопленочном состоянии

The crystalline structure of intermetallic Cu_3Sn synthesized by successively condensing thin layers of copper and tin on a substrate at 150°C has been studied. Cu_3Sn compound exists in a very narrow homogeneity range and has a long-period close-packed ordered D0_19 superstructure. It has been found that the crystal lattice exhibits many slip traces associated with dislocation motion. The dislocation motion is due to the stressed state of the crystal, which can be characterized as uniform extension. Electron micrographs show that slip traces in the Cu_3Sn crystal are parallel to the ( $$\bar {1}\bar {1}21$$ ) and ( $$11\bar {2}1$$ ) planes belonging to pyramidal slip system II, which is a main slip system along with pyramidal and basal ones. Slip traces result from the motion of partial dislocations, as indicated by the amount of slip, which is equal to half the interplanar distance. Since the crystal is ordered, slip is accomplished by a pair of superpartial dislocations and a slip trace may be a superstructural or complex stacking fault.