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A computational framework for designing Ni-based superalloy

Published

Author(s)

Sheng Yen Li, Ursula R. Kattner, Carelyn E. Campbell

Abstract

A computational framework is proposed to provide an interdisciplinary environment to develop γ/γ Ni-based superalloys. A prototype design is demonstrated to select the chemical composition and processing conditions for a high work to necking (EWTN) Ni(1−x−y)AlxCry alloy. Phase-based, composition and temperature dependent models coupled with the calculation of phase diagrams (CALPHAD) method are used to simulate γ precipitation at processing temperature (Tp). The material knowledge system in python (PyMKS) is used to simulate the elastic deformation and a constitutive model with irreversible thermodynamics is implemented to calculate the stress-strain curve. Using a prescribed processing-structure-property correlation, a genetic algorithm (GA) di- rects the search until composition and processing conditions that satisfy the desired mechanical properties. In this example process, Ni-0.071Al-0.184Cr (mole fraction) after 8 minute tempering treatment at 1051 K is recommended.
Citation
Computational Materials Science

Keywords

Ni-based superalloy, genetic algorithm, CALPHAD

Citation

, S. , Kattner, U. and Campbell, C. (2017), A computational framework for designing Ni-based superalloy, Computational Materials Science (Accessed November 29, 2021)
Created August 31, 2017, Updated February 2, 2018