Abstract
The single-pass thermal compression experiments were conducted on NiCoFeCrAl high entropy alloy by Gleeble-3800 thermal simulation tester. The Arrhenius constitutive model was established based on the peak stresses. With four instability criteria (Prasad, Murty, Gegel, and Malas), different heat processing maps of dynamic material model were established. The applicable ranges of the instability criteria for the alloys in the heat deformation process were analyzed and compared. Results show that the optimal heat processing ranges of the alloys are the temperature range of 980–1010 °C+strain rate of 0.01–0.001
High entropy alloys are different from the traditional alloys: they are composed of five or more equal or nearly equal metals, and the concentration of each constituent element is 8at%–35at%. The design of equal atomic ratio of metal elements in the multi-major-element alloy
Appropriate hot deformation process can eliminate cast-state tissue defects, improve organization, and enhance mechanical properties. Therefore, the thermal processing map is often used to design and ameliorate the metal thermal processing process. Unstable rheological regions should be avoided during thermal processing, and the reference stable rheological regions can be clearly observed in the thermal processing map. The instability criteria based on the dynamic material model (DMM) mainly include the Prasad instability criterion, Gegel instability criterion, Malas instability criterion, and Murty instability criterion. At present, the Prasad instability criterion is the most widely used one, which can accurately depict the thermal processing map of Ti alloy
In this research, four instability criteria of NiCoFeCrAl high entropy alloy were established, and the applicable ranges of different instability criteria were analyzed and compared. Single-pass thermal compression experiments were conducted by the Gleeble-3800 thermal simulation tester for the self-designed nickel-based lightweight high entropy alloys. The Arrhenius constitutive model under peak stress was established based on the stress-strain curves under different deformation processes in order to study the thermal deformation behavior of NiCoFeCrAl high entropy alloy. The thermal processing diagrams under the Prasad, Murty, Gegel, and Malas instability criteria were plotted to determine the thermal processing characteristics of alloys under different conditions. Electron backscattered diffraction (EBSD) analysis was used to investigate the microstructure evolution mechanism of NiCoFeCrAl high entropy alloy during thermal deformation process. This research provided essential theoretical basis for the design and optimization of process parameters for the actual production and processing of NiCoFeCrAl high entropy alloy.
The raw material was nickel-based high entropy alloy, Ni-8.0Al-20.0Co-10.0Cr-18.5Fe-7.0Mo-1.0Nb-2.0Ti-3.0W-0.04C (wt%), and it was called as NiCoFeCrAl high entropy alloy in this research. The specimens were machined into the cylindrical ones with dimension of Φ10 mm×15 mm by wire-cutting, and the surface oxide skin was ground by sandpaper. The hot compression tests were conducted by Gleeble-3800 thermal simulating tester. The temperature was from 900 °C to 1100 °C with temperature interval of 50 °C, and the strain rate was from 0.001
The deformed specimen was cut along the compression axial direction to observe the microstructure. Due to the inhomogeneity of the thermal compression deformation process, the microstructure observation was mainly conducted in the central part of the specimen. Before EBSD observation, the specimen was mechanically and electrolytically polished in 10vol% perchloric acid+90vol% ethanol solution under the voltage of 25 V and current of 0.9–1.1 A. EBSD analysis was conducted by Channel 5 software.
During the thermal compression experiments, the peak stresses under different process parameters were recorded, and the peak stress is changed with changing the deformation temperature and the strain rate. As shown in

Fig.1 Peak stress at different deformation temperatures and strain rates
The Arrhenius hyperbolic sine functional equatio
ασ<0.8 | (1) |
ασ>1.2 | (2) |
For all ασ | (3) |
where is the strain rate; σ is the stress (MPa); R is the gas constant (kJ·mo
By taking the natural logarithm on both sides of Eq.(
(4) |
(5) |
(6) |
By taking the peak stress σ into

Fig.2 Relationships between strain rate and stress: (a) ln-lnσ and (b) ln-σ
According to
(7) |

Fig.3 Relationships of ln-ln[sinh(ασ)] (a) and ln[sinh(ασ)]-(1/T) (b)
Then, the plots of ln[sinh(ασ)]-(1/T) are obtained, as shown in
In addition, the Zener-Holloman parameter (Z) can represent the influence of temperature and strain rate on the thermal deformation behavior of material
(8) |
The physical meaning of Z parameter is the temperature compensated strain rate factor. By taking the natural logarithm on both sides of
(9) |
Thus, the relationship of lnZ-ln[sinh(ασ)] is obtained, as shown in

Fig.4 Relationship between lnZ and ln[sinh(ασ)]
Therefore, the Arrhenius constitutive relationship model of NiCoFeCrAl high entropy alloy is as follows:
(10) |
with
The error analysis of this constitutive equation is conducted. The calculated and experimental peak rheological stresses are compared, as shown in

Fig.5 Error analysis of calculated and experimental peak rheological stresses
The energy P can be divided into two parts: the dissipative quantity (G) and the dissipative covariate (J), as follows:
(11) |
where G is the energy consumed by the material during plastic deformation; J is the energy dissipated by the evolution of microstructure during material deformation. The proportion of these two energy types is determined by the strain rate sensitivity index m of the workpiece under certain stress, as follows:
(12) |
The dissipation of material energy can be divided into two parts: potential energy and kinetic energy. Changes in microstructure will inevitably cause changes in the atomic potential energy, thus influencing the dissipation covariate J. The movement of dislocations and the transformation of kinetic energy are influenced by the form of thermal energy. Thus, the integral of the dissipation covariate J corresponding to the dissipation amount G can be expressed, as follows:
(13) |
Supposing that the material conforms to the constitutive relationship , J can be expressed as:
(14) |
When m=1, the material is at the ideal linear dissipative state, and the dissipative covariance J reaches the maximum value Jmax, as follows:
(15) |
A dimensionless parameter η can be obtained from
(16) |
Four instability criteria (Prasad, Gegel, Malas, and Murthy) are used in this research. Doraivelu et a
(17) |
According to the Gegel criterion, when the material reaches the steady-state stress, the overall rheological stress curve tends to present convex characteristic, and the power dissipation efficiency factor η is decreased with increasing the strain rate.
(18) |
The Gegel instability criterion is based on the second law of thermodynamics, as follows:
(19) |
Malas et a
(20) |
Prasad et a
(21) |
During the thermal deformation, since the dissipation coefficients are closely related to the organization evolution, the dissipation function in the abovementioned equation can be replaced by the dissipation coefficient
(22) |
(23) |
By taking natural logarithm on both sides of
(24) |
Prasad et a
(25) |
Murth
(26) |
(27) |
According to
(28) |
The thermal processing maps of NiCoFeCrAl high entropy alloy based on four instability criteria under peak stress conditions are shown in

Fig.6 Thermal processing maps of NiCoFeCrAl high entropy alloy based on Prasad (a), Murty (b), Gegle (c), and Malas (d) instability criteria
The instability intervals based on the Prasad instability criterion are concentrated in the high strain rate region, and those based on the Gegel and Malas instability criteria are concentrated in the low-to-medium strain rate region. In order to verify the accuracy of the predicted results of different instability criteria, the cracking maps of heat-deformed specimens under different process parameters are analyzed, as shown in

Fig.7 Cracking maps of NiCoFeCrAl high entropy alloy after hot compression under different deformation temperatures and strain rates (red rectangles denote the precise prediction results)
According to

Fig.8 EBSD maps (a–d) and analysis results (e) of NiCoFeCrAl high entropy alloy after hot compression at temperature of 1000 °C and strain rate of 1

Fig.9 EBSD maps (a–e) and analysis results (f) of NiCoFeCrAl high entropy alloy after hot compression at strain rate of 0.1
According to
1) The predictions based on the Prasad, Gegel, and Malas instability criteria are accurate, which is suitable for the prediction of rheological instability regions of NiCoFeCrAl high entropy alloy. However, the thermal processing map obtained by Murty instability criterion cannot present the instability region.
2) The Arrhenius constitutive model of the NiCoFeCrAl high entropy alloy can be established based on the peak stress, which can more accurately predict the peak stress under different deformation conditions.
3) The optimal thermal processing conditions are temperature of 980–1010 °C+strain rate of 0.01–0.001
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