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.
Highlights
Metallic structural materials with excellent mechanical properties have been widely used in a variety of operating conditions and often applied under constant or static loads
A key objective is to suggest a framework for joint optimization of mechanical properties, to introduce—in context with such a framework—compositions of Highentropy alloys (HEAs) yielding high ultimate strengths (USs), and to conduct experimental verification of our findings
We show how piecewise linear regression can be employed to extend the model beyond two exponentials and yield accurate fit, in case of a non-convex objective function caused by hump (s) in the data
Summary
Metallic structural materials with excellent mechanical properties have been widely used in a variety of operating conditions and often applied under constant or static loads. Engineering components under either loading conditions are usually required to exhibit high strength. Highentropy alloys (HEAs) have drawn great attention in the recent decade due to their excellent mechanical properties and vast compositional space, which makes them suitable for this purpose[1]. A key objective is to suggest a framework for joint optimization of mechanical properties, to introduce—in context with such a framework—compositions of HEAs yielding high ultimate strengths (USs), and to conduct experimental verification of our findings. Sources of variations in US may involve difference in compositions, microstructures, parameters of postfabrication processes, or defect levels
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