Modeling Solid-State Precipitation (Computational Materials Science and Engineering) (Hardcover)

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Description


This book introduces you to the classical methods of precipitation modeling and to recently developed advanced, computationally-efficient techniques.

Over recent decades, modeling and simulation of solid-state precipitation has attracted increased attention in academia and industry due to their important contributions in designing properties of advanced structural materials and in increasing productivity and decreasing costs for expensive alloying. In particular, precipitation of second phases is an important means for controlling the mechanical-technological properties of structural materials.

However, profound physical modeling of precipitation is not a trivial task. This book introduces you to the classical methods of precipitation modeling and to recently developed advanced, computationally-efficient techniques. If you're a research professional, academic, or student, you'll learn: - nucleation theory, precipitate growth, calculation of interfacial energies. - advanced techniques for technologically relevant multi-component systems and complex thermo-mechanical treatments.- numerical approaches using evolution equations and discrete particle size distributions.- the major software products available for precipitation kinetics simulations.

About the Author


Ernst Kozeschnik is a Professor of Materials Technology at the Vienna University of Technology, having previously been an Assistant Professor of Materials Science at the Graz University of Technology and a visiting scientist at Oak Ridge National Laboratory. He is the author and co-author of over 120 journal articles and book chapters spanning diverse topics of phase transformations, computational microstructure evolution, and continuums modelling of precipitation in multi-component multi-phase systems.


Product Details
ISBN: 9781606500620
ISBN-10: 1606500627
Publisher: Momentum Press
Publication Date: December 20th, 2012
Pages: 502
Language: English
Series: Computational Materials Science and Engineering