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Buch, Englisch, 212 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3999 g
Electromechanical System Applications and Optimization
Buch, Englisch, 212 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3999 g
Reihe: Simulation Foundations, Methods and Applications
ISBN: 978-1-4471-7024-2
Verlag: Springer
This book highlights a unique combination of numerical tools and strategies for handling the challenges of multiphysics simulation, with a specific focus on electromechanical systems as the target application. Features: introduces the concept of design via simulation, along with the role of multiphysics simulation in today’s engineering environment; discusses the importance of structural optimization techniques in the design and development of electromechanical systems; provides an overview of the physics commonly involved with electromechanical systems for applications such as electronics, magnetic components, RF components, actuators, and motors; reviews the governing equations for the simulation of related multiphysics problems; outlines relevant (topology and parametric size) optimization methods for electromechanical systems; describes in detail several multiphysics simulation and optimization example studies in both two and three dimensions, with sample numerical code.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
Weitere Infos & Material
Introduction.- Overview of Physics for Electromechanical Systems.- Governing Equations for Electromechanical Systems.- Optimization Methods for Electromechanical Systems.- Electromechanical System Simulation and Optimization Studies.- Extensions to New Topics.- Appendix – Sample Multiphysics Optimization Code.




