Continuum Scale Simulation of Engineering Materials (E-Book) von Dierk Raabe

Introduction
FUNDAMENTALS AND BASIC METHODS
Computational Thermodynamics and Kinetics without Phase Fileds (Thermocalc, Dictra, etc.)
Phase Field Method
Fluid Materials Dynamics
Cellular Automata and Lattice Gas Automata
Dislocation Dynamics
Potts Type models
Crystal Plasticity
Artificial Neural Networks
Scaling, Coarse Graining and Renormalization
APPLICATION TO ENGINEERING MICROSTRUCTURES
Phase Field Simulation of Solidification
Modeling Dendrititc Structures
Numerical Simulation of Continuous and Investment Casting
Phase Field Simulation of Solid-state Phase Transformations and Strain/stress-dominated Microstructure Evolution
From Microscopic to Semi-Macroscopic Polymer Simulations
Statistical Theory of Grain Growth
Curvature Driven Grain Growth
Potts Modeling of Grain Growth and Recrystallization
Cellular Automaton Simulation
Vertex Grain Boundary Modeling
Thermal Activation in Discrete Dislocation Dynamics
3D Discrete Dislocation Dynamics
Discrete Dislocation Dynamics in Thin Layers
Coarse Graining of Dislocation Dynamics
Statistical Dislocation Modeling
Taylor-type Homogenization Methods for Texture and Anisotropy
Micromechanics of Filled Polymers
Continuum Thermodynamic Modelling of Additional Hardening
Strain Gradient Theory
Yield Surface Plasticity
Crystal Plasticity Finite Element Method
Texture Component Crystal Plasticity Finite Element Method
Creep Simulation (Turbine)
Micromechanical Simulation of Composites
3D Elastodynamics of Cracking
Computational Fracture Mechanics
APPLICATION TO MATERIALS PROCESSES
Artificial Neural Networks
Integration of Physically Based Materials Concepts
The Multiphysics Modeling of Solidification and Melting Processes
Simulation of Casting and Solidification Proceses
Integrated Simulation of Multistep Rolling Processes
Forming Analysis and Design
Extrusion
Sheet Springback
Sheet Forming
Forging
Simulation of Welding
Simulation of Polymer Materials Processing
Process Simulation Using Artificial Neural Networks
Large Structure Failure Simulation
Computational Materials Selection
Computational Materials Design

This book fills a gap by presenting our current knowledge and understanding of continuum-based concepts behind computational methods used for microstructure and process simulation of engineering materials above the atomic scale.
The volume provides an excellent overview on the different methods, comparing the different methods in terms of their respective particular weaknesses and advantages. This trains readers to identify appropriate approaches to the new challenges that emerge every day in this exciting domain.
Divided into three main parts, the first is a basic overview covering fundamental key methods in the field of continuum scale materials simulation. The second one then goes on to look at applications of these methods to the prediction of microstructures, dealing with explicit simulation examples, while the third part discusses example applications in the field of process simulation.
By presenting a spectrum of different computational approaches to materials, the book aims to initiate the development of corresponding virtual laboratories in the industry in which these methods are exploited. As such, it addresses graduates and undergraduates, lecturers, materials scientists and engineers, physicists, biologists, chemists, mathematicians, and mechanical engineers.

Professor Dierk Raabe received his Ph.D. (1992) and habilitation (1997) at RWTH Aachen, Germany, in the fields of Physical Metallurgy and Metal Physics. He is currently Director and Executive at the Max-Planck Institut für Eisenforschung, Düsseldorf, Germany, after working some time as researcher at Carnegie Mellon University, USA, the High Magnetic Field Laboratory in Tallahassee, USA, and serving as senior researcher and lecturer at the Institut für Metallkunde und Metallphysik, RWTH Aachen, Germany. His research fields are computer simulation of materials, composites, textures, and micromechanics, in which he authored more than 100 papers in peer-reviewed magazines and three books. He teaches various courses on computational materials science, materials mechanics, history of metals, and textures at RWTH Aachen (Germany) and at Carnegie Mellon University Pittsburgh (USA). His work was already awarded with several prizes, among them the Adolf-Martens Award, Masing Award, Heisenberg Award, and the Leibniz Award.

Dr. Franz Roters studied Physics in Braunschweig, where he got his diploma degree in 1993. From 1994 to 1998 he was scientist at the Institute for Metal Physics and Physical Metallurgy at the RWTH Aachen. He got his PhD. degree in 1999 in the field of constitutive modelling of aluminium. From 1999 till 2000 he was researcher at the R&D centre of VAW (today Hydro Aluminium Deutschland GmbH) in Bonn. Since 2000 he is senior scientist at the Max-Planck-Institut für Eisenforschung in Düsseldorf, where he is the leader of the research group Theory and Simulation in the department for Microstructure Physics and Metal Forming. Dr. Roters published more than 30 papers in the field of constitutive modelling and simulation of forming. He is head of the Technical Committee Computersimulation of the Deutsche Gesellschaft für Materialkunde e.V. (DGM).

Professor Long-Qing Chen is teaching Materials Science and Engineering at Penn State. He received his B.S. in Ceramics from Zhejiang University in China in 1982, a M.S. in Materials Science and Engineering from State University of New York at Stony Brook in 1985, and a Ph.D. degree in Materials Science and Engineering from MIT in 1990. He worked with Armen G. Khachaturyan as a postdoc at Rutgers University from 1990 to 1992. Professor Chen joined the Department of Materials Science and Engineering at Penn State as an assistant professor in 1992 and was promoted to associate professor in 1998. His main research interests include materials theory and computational materials science. Professor Chen received the Young Investigator Award from the Office of Naval Research (ONR) in 1995, the research creativity award from the National Science Foundation (NSF) in 1999, the Wilson Award for Excellence in Research in the College of Earth and Mineral Sciences in 2000, and the University Faculty Scholar Medal at Penn State in 2003.

Dr. Frédéric Barlat received a PhD in Mechanics from the Institut National Polytechnique de Grenoble, France, in 1984. The same year, he joined Alcoa Technical Center; Pittsburgh, Pennsylvania, USA, the research facility of Alcoa Inc. (formerly the Aluminum Company of America). Dr. Barlat is currently a technology specialist in their materials science division. He is responsible for conceptualizing, importing and implementing mathematical models that predict the mechanical behavior of materials for long-term development applications in the areas of metal plasticity, fracture and material performance. His work is used for the design of alloys and processes in support of Alcoa's major business units, including packaging, automotive and aerospace. Dr. Barlat is also an invited professor at the University of Aveiros Center for Mechanical Technology and Automation, Portugal, where he directs activities on the fundamentals of plasticity and forming. He has actively participated in the scientific committees of various international conferences, has been a regular reviewer in a number of scientific journals and serves as a member of the Advisory Board of the International Journal of Plasticity. Dr. Barlat is published as an author or co-author in approximately 80 papers of peer-reviewed scientific journals and has delivered more than 60 technical presentations at conferences worldwide. In 1995, he was the honored recipient of the ASM Henry Marion Howe Medal of the Material Society for the best technical paper published in Metallurgical Transactions A. He holds three US patents with co-inventors from Alcoa Inc. and Kobe Steel, Ltd., Japan.