## 3 Results
### Analysis of Microstructure Formation Based on Neural Network Data  
Figure 17 shows the dependences \(D-\varepsilon\), \(P_{L}-\varepsilon\), and \(S_{L}-\varepsilon\) at a strain rate of 0.5, 2, and 4 s\({}^{-1}\) for temperatures between 300 and 500 \({}^{\circ}\)C. These dependences are based on the maps shown in Figures 14-16. The analysis of these dependences and maps of the microstructure parameters (Figures 14-16) yields the following generalizing conclusions. 1. The strain dependences of the fraction of low-angle boundaries (\(P_{L}-\varepsilon\)) for the entire studied temperature and strain rate range of deformation have a peak (shown by asterisks in Figure 17). 2. For the temperature range between 300 and 350 \({}^{\circ}\)C, the strain corresponding to the peak on the dependences decreases with an increase in strain rate. Conversely, for the temperature range between 450 and 500 \({}^{\circ}\)C, the strain corresponding to the peak increases with strain rate. 3. For the temperature range between 300 and 500 \({}^{\circ}\)C and strain rates above 3 s\({}^{-1}\), the strain corresponding to the peak value of the dependence \(P_{L}-\varepsilon\) increases with temperature (Figures 15 and 17). 4. At low strain rates (\(\dot{\varepsilon}<1s^{-1}\)), for the temperature range between 300 and 450 \({}^{\circ}\)C, the dependence \(D-\varepsilon\) consists of two characteristic portions. In the first portion of the curve \(D-\varepsilon\), the average grain diameter decreases, and it remains unchanged with increasing strain in the second portion (steady-state portion). Moreover, as the deformation temperature rises, the strain corresponding to the boundary between these two portions (\(\varepsilon^{\prime}\)) shifts towards higher strains. 5. For the temperature range between 350 and 500 \({}^{\circ}\)C, at strain rates exceeding 1 s\({}^{-1}\), the value of the average grain diameter decreases monotonically. 6. An increase in the deformation temperature leads to the formation of a coarser-grained microstructure. 7. The density of low-angle boundaries \(S_{L}\) at the initial stage of deformation increases with strain for the entire range of temperatures and strain rates. 8. At a temperature of 300 \({}^{\circ}\)C, after reaching a certain strain value (indicated by squares in Figure 17), the density of low-angle boundaries decreases with further deformation, as is the case with 350 \({}^{\circ}\)C, but at strain rates above 3 s\({}^{-1}\). For all the other deformation temperatures, the density of low-angle boundaries increases with strain or remains almost unchanged. 9. At a temperature of 300 \({}^{\circ}\)C, the strain at which the density of low-angle boundaries \(S_{L}\) decreases with increasing strain shifts towards lower strains with increasing strain rate. Figure 16: The effect of strain and strain rate on the density of low-angle boundaries \(S_{L}\) depending on temperature, \({}^{\circ}\)C: (**a**) 300, (**b**) 350, (**c**) 400, (**d**) 450, and (**e**) 500. The dependences have been obtained from neural network predictions. Figure 17: The average grain diameter \(D\), and the fraction \(P_{L}\) and density \(S_{L}\) of low-angle boundaries as dependent on temperature \(T\), strain \(\epsilon\), and strain rate \(\dot{z}\). The dependences are given for temperature, \({}^{\circ}\)C: (**a–c**) 300; (**d–f**) 350; (**g–i**) 400; (**j–l**) 450 and (**m–o**) 500. The temperature, strain, and strain rate dependences of the fraction of low-angle boundaries \(P_{L}\) for continuous dynamic recrystallization characterizes the influence of these thermomechanical parameters on the formation of new low-angle boundaries and their transformation into high-angle ones. At strains below the strain corresponding to the peak of the dependence \(P_{L}-\varepsilon\), the rate of the formation of new low-angle boundaries prevails over the rate of the transformation of low-angle boundaries into high-angle ones.