Saint Petersburg Mining University, Saint Petersburg, Russia:

K. Yu. Shakhnazarov, Associate Professor at the Department of Materials Science and Artwork Engineering,Candidate of Technical Sciences, e-mail: karen812@yandex.ru
S. A. Vologzhanina, Professor at the Department of Materials Science and Artwork Engineering, Doctor of Technical Science, e-mail: svet_spb@mail.ru

The database of modern materials science contains numerous empirical equilibrium diagrams (state diagrams) of non-ferrous alloys, with the help of which one can predict possible interactions of the components based on different ratios and temperatures and also get an insight into the phase composition and structure of these alloys. In general, there exists a good correlation between the structure and properties of non-ferrous alloys, which can help control their properties and predict possible changes. However, in certain cases, the relationship between actual physico-mechanical properties and processability of non-ferrous alloys established through experiments and their structure may deviate from the established trend. This makes it harder to control the properties and predict how they will possibly change during manufacturing and operation of machine building materials. Having looked at a great amount of data from the literature, the authors developed a system that helps analyze relationships between abnormal physicomechanical properties and processability of non-ferrous metals (Cu – Zn, Cu – Sn, Cu – Mn, Al – Si, Al – Cu, Al – Zn, Al – Mg, Mg – Al, Pb – Sb, Pb – Zn, Cd – Pb, Sn – Pb, Sn – Bi, Sn – Zn, Sn – Al) and their equilibrium diagrams. The system enables to relate abnormal properties of alloys to equilibrium diagrams using the criterion К , which reflects a qualitative change (temperature-based length) of the crystallization (recrystallization) interval. It also helps relate abnormal properties of alloys to the different structural heredity (genealogy) of atoms constituting the binary components, explain the existing abnormal properties and predict them by looking at equilibrium diagrams.

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