About the Antiphase Boundary Energy Property Model
The Antiphase Boundary Energy - Ni Property Model, available with the Property Model Calculator and the Nickel Model Library, calculates the antiphase boundary energy for the gamma prime (γ') phase in Ni-base alloys.
Alloy strength can be assumed [2014Cru] to be proportional to the product of the antiphase boundary energy and the square root of the fraction of the strengthening gamma-prime phase.
Equilibrium is calculated with the selected phases and conditions. The antiphase boundary energy is then evaluated for the gamma prime phase given the equilibrium composition.
To run calculations with the Nickel Models requires a valid maintenance license plus licenses for both the TCNI (version 11 and newer) and MOBNI (version 5 and newer) databases. For some Property Models, additional recommendations for the database version to use is indicated in its description. Also see our website to learn more about the Nickel Model Library.

The input parameters are entered on the Configuration window for the Property Model Calculator. There are also settings on the Plot Renderer where you can choose from the available and relevant axis variables.
See Antiphase Boundary Energy Property Model Settings for details.

For an example, see PM_Ni_02: Antiphase Boundary Energy of γ'.

[1995Mio] A. P. Miodownik, N. J. Saunders, “The calculation of APB Energies in Ll, Compounds Using a Thermodynamic Database,” in Applications of Thermodynamics in the Synthesis and Processing of Materials, P. Nash, B. Sundman, Eds. (TMS, Warrendale, PA, 1995), pp. 91–104.
[2000Sau] N. Saunders, M. G. Fahrmann, C. J. Small, in Superalloys 2000 (TMS, Warrendale, Pa., 2000; pp. 803–811.
[2014Cru] D. J. Crudden, A. Mottura, N. Warnken, B. Raeisinia, R. C. Reed, Modelling of the influence of alloy composition on flow stress in high-strength nickel-based superalloys. Acta Mater. 75, 356–370 (2014).
[2018Liu] Y.-X. Liu, Y. . Lin, A Yield Stress Model for a Solution-Treated Ni-Based Superalloy during Plastic Deformation. High Temp. Mater. Process. 37, 849–856 (2018).