High-Entropy Alloys Fundamentals and Applications [Paperback]

This book provides a systematic and comprehensive description of high-entropy alloys (HEAs). The authors summarize key properties of HEAs from the perspective of both fundamental understanding and applications, which are supported by in-depth analyses. The book also contains computational modeling in tackling HEAs, which help elucidate the formation mechanisms and properties of HEAs from various length and time scales.Overview of High-Entropy Alloys.- Phase Formation Rules.- Physical Metallurgy.- Advanced Characterization Techniques.- Fabrication Routes.- Mechanical Properties of High-Entropy Alloys.- Functional Properties.- Prediction of Structure and Phase Transformations.- Applications of Coherent Potential Approximation to HEAs.- Applications of Special Quasi-random Structures to High-Entropy Alloys.- Design of High-Entropy Alloys.- CALPHAD Modelling of High-Entropy Alloys.- High-Entropy Metallic Glasses.- High-Entropy Coatings.- Potential Applications and Prospects.Dr. Michael C. Gao is a Principal Materials Scientist of AECOM at US Department of Energy National Energy Technology Laboratory and a courtesy faculty at Oregon State University. Professor Jien-Wei Yeh is a member of the Department of Materials Science and Engineering at National Tsing Hua University. Peter K. Liaw is a Professor and Ivan Racheff Chair of Excellence in the Department of Materials Science and Engineering at The University of Tennessee. Yong Zhang is a Professor of State Key Laboratory for Advanced Metals and Materials at the University of Science & Technology Beijing.This book provides a systematic and comprehensive description of high-entropy alloys (HEAs). The authors summarize key properties of HEAs from the perspective of both fundamental understanding and applications, which are supported by in-depth analyses. The book also contains computational modeling in tackling HEAs, which help elucidate the formation mechanisms and properties of HEAs from various length and time sclN