Computational Approach to Predict Phase Fraction in Dual-Phase High Entropy Alloys

19 Pages Posted: 20 Dec 2019

See all articles by Ankit Singh Negi

Ankit Singh Negi

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering

Ayush Sourav

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering

T. Shanmugasundaram

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering

Abstract

Type and fraction of secondary phase play a significant role in determining the properties. For the first time, a computational method is used to predict the phase fraction in dual phase high entropy alloy systems. In this work, a new parameter δc(critical lattice distortion) is proposed. Valence electron concentration (VEC) and δc are used to predict phase fraction. To validate the model a series of AlxCoCrFeNi (x=0.3, 0.5, 0.7) alloy was synthesized by vacuum arc melting and analysed using x-ray diffraction and electron backscatter diffraction techniques. It is found that the experimental results agree closely with the predicted value.

Keywords: High entropy alloy, phase fraction, computational modeling, lattice distortion, X-ray diffraction

Suggested Citation

Negi, Ankit Singh and Sourav, Ayush and Shanmugasundaram, T., Computational Approach to Predict Phase Fraction in Dual-Phase High Entropy Alloys. Available at SSRN: https://ssrn.com/abstract=3507459 or http://dx.doi.org/10.2139/ssrn.3507459

Ankit Singh Negi (Contact Author)

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering

India

Ayush Sourav

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering

India

T. Shanmugasundaram

Defence Institute of Advanced Technology - Department of Metallurgical and Materials Engineering ( email )

India

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