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 language | English |
|---|---|
| Article number | 152 |
| Journal | npj Computational Materials |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2021 |
| Externally published | Yes |
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.