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

B. Steingrimsson, X. Fan, X. Yang, M. C. Gao, Y. Zhang, P. K. Liaw

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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, Tbreak, 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 Tbreak. 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.

Original languageEnglish
Article number152
Journalnpj Computational Materials
Volume7
Issue number1
DOIs
StatePublished - Dec 2021
Externally publishedYes

Funding

X.F. and P.K.L. very much appreciate the support of the U.S. Army Research Office Project (W911NF-13-1-0438 and W911NF-19-2-0049) with the program managers, Drs M.P. Bakas, S.N. Mathaudhu, and D.M. Stepp, as well as the support from the Bunch Fellowship. XF and PKL also would like to acknowledge funding from the State of Tennessee and Tennessee Higher Education Commission (THEC) through their support of the Center for Materials Processing (CMP). P.K.L., furthermore, thanks the support from the National Science Foundation (DMR-1611180 and 1809640) with the program directors, Drs J. Yang, G. Shiflet, and D. Farkas. B.S. very much appreciates the support from the National Science Foundation (IIP-1447395 and IIP-1632408), with the program directors, Dr G. Larsen and R. Mehta, from the U.S. Air Force (FA864921P0754), with J. Evans as the program manager, and from the U.S. Navy (N6833521C0420), with Drs D. Shifler and J. Wolk as the program managers. M.C.G. acknowledges the support of the US Department of Energy’s Fossil Energy Crosscutting Technology Research Program. The authors also want to thank Dr. G. Tewksbury for bringing to their attention suspicious recordings of the US from the literature, which have prompted the data curation effort.

FundersFunder number
State of Tennessee and Tennessee Higher Education Commission
National Science Foundation1809640
National Science Foundation
U.S. Department of Energy
Division of Civil, Mechanical and Manufacturing InnovationDMR-1611180, DMR-1809640
Division of Civil, Mechanical and Manufacturing Innovation
Division of Industrial Innovation and PartnershipsIIP-1632408, IIP-1447395
Division of Industrial Innovation and Partnerships
Army Research OfficeW911NF-19-2-0049, W911NF-13-1-0438
Army Research Office
Air Force Research LaboratoryFA864921P0754
Air Force Research Laboratory
U.S. Air Force
U.S. NavyN6833521C0420
U.S. Navy
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China51921001
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Tennessee Higher Education Commission

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