High-Entropy Alloys: Fundamentals and Applications

ISBN-13: 9783319270111 / Angielski / Twarda / 2016 / 516 str.

Michael C. Gao; Jien-Wei Yeh; Peter K. Liaw

Opis

This book provides a systematic and comprehensive description of high-entropy alloys (HEAs). The authors summarize key properties of HEAs from perspective of both the fundamental understanding and applications, which are supported by an in-depth analysis. The book also contains computational modeling in tackling HEAs, which help elucidate formation mechanism and properties of HEAs from various length and time scales.

Spis treści

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.

O autorze

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.

Blurb

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.