Buch, Englisch, Band 32, 540 Seiten, Book, Format (B × H): 159 mm x 235 mm, Gewicht: 1700 g
Buch, Englisch, Band 32, 540 Seiten, Book, Format (B × H): 159 mm x 235 mm, Gewicht: 1700 g
Reihe: Springer Series in Computational Mathematics
ISBN: 978-3-642-11820-3
Verlag: Springer
This book introduces the concepts and methodologies related to the modelling of the complex phenomena occurring in materials processing. After a short reminder of conservation laws and constitutive relationships, the authors introduce the main numerical methods: finite differences, finite volumes and finite elements. These techniques are developed in three main chapters of the book that tackle more specific problems: phase transformation, solid mechanics and fluid flow. The two last chapters treat inverse methods to obtain the boundary conditions or the material properties and stochastic methods for microstructural simulation. This book is intended for undergraduate and graduate students in materials science and engineering, mechanical engineering and physics and for engineering professionals or researchers who want to get acquainted with numerical simulation to model and compute materials processing.
Zielgruppe
Research
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Mathematik | Informatik Mathematik Mathematische Analysis Moderne Anwendungen der Analysis
- Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffprüfung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffkunde, Materialwissenschaft: Forschungsmethoden
- Naturwissenschaften Physik Thermodynamik Oberflächen- und Grenzflächenphysik, Dünne Schichten
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
Continuous Media.- The Finite Difference Method.- The Finite Element Method.- Elements of Numerical Algorithms.- Phase Transformations.- Deformation of Solids.- Incompressible Fluid Flow.- Inverse Methods.- Stochastic Methods.- Appendices.
