LEADER 04868nam 2200661 a 450 001 9910784614703321 005 20200520144314.0 010 $a1-281-18659-7 010 $a9786611186593 010 $a0-08-055549-7 035 $a(CKB)1000000000383585 035 $a(EBL)331921 035 $a(OCoLC)162130416 035 $a(SSID)ssj0000127639 035 $a(PQKBManifestationID)11132157 035 $a(PQKBTitleCode)TC0000127639 035 $a(PQKBWorkID)10051737 035 $a(PQKB)10233192 035 $a(Au-PeEL)EBL331921 035 $a(CaPaEBR)ebr10216817 035 $a(CaONFJC)MIL118659 035 $a(CaSebORM)9780123694683 035 $a(MiAaPQ)EBC331921 035 $a(PPN)178933031 035 $a(EXLCZ)991000000000383585 100 $a20070201d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComputational materials engineering$b[electronic resource] $ean introduction to microstructure evolution /$feditors Koenraad G. F. Janssens ... [et al.] 205 $a1st edition 210 $aAmsterdam ;$aBoston $cElsevier / Academic Press$dc2007 215 $a1 online resource (359 p.) 300 $aDescription based upon print version of record. 311 $a0-12-369468-X 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Computational Materials Engineering: An Introduction to Microstructure Evolution; Copyright Page; Table of Contents; 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 327 $a3.5 Applications of the Potts Model3.6 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 327 $a5.2 Microscopic Diffusion5.3 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; 7.1 A Short Overview; 7.2 Phase-Field Model for Pure Substances; 7.3 Study Case; 7.4 Model for Multiple Components and Phases; 7.5 Acknowledgments 327 $aChapter 8. Introduction to Discrete Dislocations Statics and Dynamics8.1 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 Mierostructure 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 330 $aComputational 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 606 $aCrystals$xMathematical models 606 $aMicrostructure$xMathematical models 606 $aPolycrystals$xMathematical models 615 0$aCrystals$xMathematical models. 615 0$aMicrostructure$xMathematical models. 615 0$aPolycrystals$xMathematical models. 676 $a548/.7 701 $aJanssens$b Koenraad G. F.$f1968-$01579017 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784614703321 996 $aComputational materials engineering$93858776 997 $aUNINA