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Predicting temperature-dependent ultimate strengths of body-centered-cubic (BCC) high-entropy alloys

Engineering and Technology

Predicting temperature-dependent ultimate strengths of body-centered-cubic (BCC) high-entropy alloys

B. Steingrimsson, X. Fan, et al.

This groundbreaking research, conducted by B. Steingrimsson, X. Fan, X. Yang, M. C. Gao, Y. Zhang, and P. K. Liaw, unveils a novel bilinear log model that predicts the temperature-dependent ultimate strength of high-entropy alloys, focusing on the critical break temperature essential for high-temperature materials design.

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~3 min • Beginner • English
Abstract
This paper presents a bilinear log model, for predicting temperature-dependent ultimate strength of high-entropy alloys (HEAs) based on 21 HEA compositions. We consider the break temperature, T_break, introduced in the model, an important parameter for design of materials with attractive high-temperature properties, one warranting inclusion in alloy specifications. For reliable operation, the operating temperature of alloys may need to stay below T_break. We introduce a technique of global optimization, one enabling concurrent optimization of model parameters over low-temperature and high-temperature regimes. Furthermore, we suggest a general framework for joint optimization of alloy properties, capable of accounting for physics-based dependencies, and show how a special case can be formulated to address the identification of HEAs offering attractive ultimate strength. We advocate for the selection of an optimization technique suitable for the problem at hand and the data available, and for properly accounting for the underlying sources of variations.
Publisher
npj Computational Materials
Published On
Sep 24, 2021
Authors
B. Steingrimsson, X. Fan, X. Yang, M. C. Gao, Y. Zhang, P. K. Liaw
Tags
bilinear log model
ultimate strength
high-entropy alloys
break temperature
optimization techniques
material properties
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