Abstract
AbstractThis 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.
Funder
NSF | ENG/OAD | Division of Industrial Innovation and Partnerships
United States Department of Defense | United States Air Force | AFMC | Air Force Research Laboratory
National Natural Science Foundation of China
United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office
NSF | ENG/OAD | Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanics of Materials,General Materials Science,Modelling and Simulation
Cited by
19 articles.
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