Characterization of hot deformation behavior of Al0.3CoCrFeNi high-entropy alloy and development of processing map

Hot deformation behavior and constitutive modeling of a cost-effective Al8Cr12Mn25Ni20Fe35 high-entropy alloy

“…In the same figure, the disorientation angle distribution of the neighbor pair greater than 50° is related to the annealed twin grains. Thus, the Fe-HEA could be classified as having low or intermediate stacking fault energy (SFE), which is in agreement with several previously studied FCC HEAs [43][44][45].…”

“…The EDS maps show that the precipitated phase was enriched with Al and Ni, confirming the possibility of dynamic precipitation of the B2 phase. Patnamsetty et al [44] reported the same phenomenon for Al 0.3 CoCrFeNi, where B2 dynamic precipitation was caused by stimulated dynamic or static recrystallization. Moreover, it was discussed that the Al-Ni rich B2 precipitates might act as particle-stimulated nucleation (PSN) sites for new recrystallized grains along with the existence of a substructure.…”

Artificial neural network applicability in studying hot deformation behaviour of high-entropy alloys

“…As indicated in Figure 1, the hot deformation flow curves of different HEAs were taken from the literature [6,[26][27][28]. It can be seen that a number of multiprincipal element alloys are considered.…”

“…These investigations have demonstrated the potential of ANN in this context, which needs to be investigated for many other HEA systems. Moreover, there are several recent works on hot deformation of HEAs and multi-principal element alloys [6,[26][27][28], which can be reanalysed and modelled by ANN to generate a more complete dataset for the prediction of the flow stress and inferring useful correlations between phase transformations and hot deformation behaviour. Consequently, the present work is devoted to evaluating the suitability of ANN modelling for predicting the flow stress and obtaining relevant information (regarding phase formation, discussing calculated hot deformation parameters such as activation energy, predicting flow curves for untested conditions, etc.)…”

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

“…Hot deformation is one of the most well-known ways to enhance the mechanical properties of metals and alloys [ 1 , 2 , 3 , 4 , 5 , 6 ] via grain refinements [ 7 , 8 , 9 , 10 ], in which temperature is raised above recrystallization temperature during plastic deformation. The enhancement to the mechanical properties is controlled by work hardening, dynamic recovery (DRV), and dynamic recrystallization (DRX), which have a huge effect on the microstructure as well as the flow stress behavior of the alloys [ 11 , 12 , 13 , 14 , 15 ].…”