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计算材料工程：材料微观组织演变简介（英文版）
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Computational Materials Engineering：An Introduction to Microstructure Evolution 简介： "Computational Materials Engineering" is an advanced introduction to the computer-aided modeling of essential material properties and behavior, including the physical, thermal and chemical parameters, as well as the mathematical tools used to perform simulations. Its emphasis will be on crystalline materials, which includes all metals. The basis of "Computational Materials Engineering" allows scientists and engineers to create virtual simulations of material behavior and properties, to better understand how a particular material works and performs and then use that knowledge to design improvements for particular material applications.The text displays knowledge of software designers, materials scientists and engineers, and those involved in materials applications like mechanical engineers, civil engineers, electrical engineers, and chemical engineers. Readers from students to practicing engineers to materials research scientists will find in this book a single source of the major elements that make up contemporary computer modeling of materials characteristics and behavior. The reader will gain an understanding of the underlying statistical and analytical tools that are the basis for modeling complex material interactions, including an understanding of computational thermodynamics and molecular kinetics; as well as various modeling systems. Finally, the book will offer the reader a variety of algorithms to use in solving typical modeling problems so that the theory presented herein can be put to real-world use. Balanced coverage of fundamentals of materials modeling, as well as more advanced aspects of modeling, such as modeling at all scales from the atomic to the molecular to the macro-material. Concise, yet rigorous mathematical coverage of such analytical tools as the Potts type Monte Carlo method, cellular automata, phase field, dislocation dynamics and Finite Element Analysis in statistical and analytical modeling Companion web site will offer ample workable programs, along with suggested projects, resources for further reading, and useful classroom exercises. Balanced coverage of fundamentals of materials modeling, as well as more advanced aspects of modeling, such as modeling at all scales from the atomic to the molecular to the macro-material•Concise, yet rigorous mathematical coverage of such analytical tools as the Potts type Monte Carlo method, cellular automata, phase field, dislocation dynamics and Finite Element Analysis in statistical and analytical modeling•Companion web site will offer ample workable programs, along with suggested projects, resources for further reading, and useful classroom exercisesComputational Materials Engineering is a single source of the major elements that make up contemporary computer modeling of materials characteristics and behavior. This is the first advanced text/reference to cover the essential theoretical aspects of materials modeling, with a particular emphasis on polycrystalline materials-including the physical, thermal and chemical parameters-and the mathematical tools used to perform simulations, as well as specific applications to modeling real materials. Readers will first gain an understanding of the underlying statistical and analytical tools that are the basis for modeling complex material interactions, including an understanding of computational thermodynamics and molecular kinetics. Then, they will learn to use various modeling systems such as Finite Element Analysis and FiniteDifference Analysis to generate mathematical representations of material processes. Finally, the book will offer its readers a variety of algorithms to use in solving typical modeling problems so that the theory presented herein can be put to real-world use. 目录 Cover image Title page Table of Contents Copyright Dedication Preface Chapter 1: Introduction 1.1 Microstructures Defined 1.2 Microstructure Evolution 1.3 Why Simulate Microstructure Evolution? 1.4 Further Reading Chapter 2: Thermodynamic Basis of Phase Transformations 2.1 Reversible and Irreversible Thermodynamics 2.2 Solution Thermodynamics Chapter 3: Monte Carlo Potts Model 3.1 Introduction 3.2 Two-State Potts Model (Ising Model) 3.3 Q-State Potts Model 3.4 Speed-Up Algorithms 3.5 Applications of the Potts Model 3.6 Summary 3.7 Final Remarks 3.8 Acknowledgments Chapter 4: Cellular Automata 4.1 A Definition 4.2 A One-Dimensional Introduction 4.3 +2D CA Modeling of Recrystallization 4.4 +2D CA Modeling of Grain Growth 4.5 A Mathematical Formulation of Cellular Automata 4.6 Irregular and Shapeless Cellular Automata 4.7 Hybrid Cellular Automata Modeling 4.8 Lattice Gas Cellular Automata 4.9 Network Cellular Automata—A Development for the Future? 4.10 Further Reading Chapter 5: Modeling Solid-State Diffusion 5.1 Diffusion Mechanisms in Crystalline Solids 5.2 Microscopic Diffusion 5.3 Macroscopic Diffusion 5.4 Numerical Solution of the Diffusion Equation Chapter 6: Modeling Precipitation as a Sharp-Interface Phase Transformation 6.1 Statistical Theory of Phase Transformation 6.2 Solid-State Nucleation 6.3 Diffusion-Controlled Precipitate Growth 6.4 Multiparticle Precipitation Kinetics 6.5 Comparing the Growth Kinetics of Different Models Chapter 7: Phase-Field Modeling Chapter 8: Introduction to Discrete Dislocation Statics and Dynamics 8.1 Basics of Discrete Plasticity Models 8.2 Linear Elasticity Theory for Plasticity 8.3 Dislocation Statics 8.4 Dislocation Dynamics 8.5 Kinematics of Discrete Dislocation Dynamics 8.6 Dislocation Reactions and Annihilation Chapter 9: Finite Elements for Microstructure Evolution 9.1 Fundamentals of Differential Equations 9.2 Introduction to the Finite Element Method 9.3 Finite Element Methods at the Meso- and Macroscale Index |
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