Advanced computational and design techniques in applied electromagnetic systems : proceedings of the International ISEM Symposium on Advanced Computational and Design Techniques in Applied Electromagnetic Systems, Seoul, Korea, 22-24 June, 1994 /

This symposium was concerned with advanced computational and design techniques in applied electromagnetic systems including devices and materials. The scope of the proceedings cover a wide variety of topics in applied electromagnetic fields: optimal design techniques and applications, inverse proble...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International ISEM Symposium on Advanced Computational and Design Techniques in Applied Electromagnetic Systems Seoul, Korea
Otros Autores: Hahn, Song-yop
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : Elsevier, 1995.
Colección:Elsevier studies in applied electromagnetics in materials ; 6.
Temas:
Electromagnetism > Congresses.
Electromagnetism > Industrial applications > Congresses.
�Electromagn�etisme > Congr�es.
�Electromagn�etisme > Applications industrielles > Congr�es.
TECHNOLOGY & ENGINEERING > Mechanical.
Electromagnetism.
Electromagnetism > Industrial applications.
Teoria eletromagnetica.
Congress
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Advanced Computational and Design Techniques in Applied Electromagnetic Systems; Copyright Page; PREFACE; Table of Contents; INTERNATIONAL STEERING COMMITTEE; LOCAL STEERING COMMITTEE; ORGANIZING COMMITTEE; CONTRIBUTORS; EXHIBITORS; Part 1: Optimal Design Techniques and Applications; Chapter 1. Automated optimal design of a permanent magnet excited dc motor with globalevolution strategy and FEM; 1. ABSTRACT; 2. INTRODUCTION; 3. OPTIMISATION METHOD; 4. FIELD COMPUTATION; 5. PROBLEM DESCRIPTION AND RESULTS; REFERENCES.
  • Chapter 2. Non-Linear Constrained Optimisation Techniques for Magnetostatic Problems1. INTRODUCTION; 2. CONSTRAINED QUASI-NEWTON METHODS; 3. NUMERICAL EXAMPLES; 4. CONCLUSIONS; REFERENCES; Chapter 3. Sensitivity Analysis and Optimization of Chip Layout on PrintedCircuit Board; 1. INTRODUCTION; 2. SUBDOMAIN DESIGN SENSITIVITY ANALYSIS; 3. NUMERICAL EXAMPLES; 5. CONCLUSION; REFERENCES; Chapter 4. The application of case-based reasoning to the initial design ofelectromagnetic devices; Abstract; 1. INTRODUCTION; 2. THE CASE-BASED DESIGN PROCESS; 3. FEATURE EXTRACTION; 4. CONCLUSIONS; REFERENCES.
  • Chapter 5. 3-D finite element analysis of electromagnetic forces on contact systems in lowvoltage circuit breakers1. INTRODUCTION; 2. METHOD OF ANALYSIS; 3. ANALYZED MODEL; 4. RESULTS AND DISCUSSIONS; 5. CONCLUSIONS; REFERENCES; Chapter 6. Investigation of flux density for 3-D electromagnetic force calculation usingMaxwell stress tensor; 1. INTRODUCTION; 2. METHOD OF NUMERICAL ANALYSIS; 3. RESULTS AND DISCUSSION; 4. CONCLUSIONS; REFERENCES; Chapter 7. Automatic shape design of solenoid valve using finite element method; 1. INTRODUCTION; 2. CALCULATION MODEL AND METHOD; 3. CALCULATION RESULTS.
  • 4. CONCLUSIONSREFERENCE; Chapter 8. An optimum design and characteristic analysis for a butt-lap-step joint core of amorphous distribution transformer; 1. INTRODUCTION; 2. NUMERICAL FORMULATION; 3. SIMULATION RESULTS; 4. CONCLUSIONS; REFERENCES; Chapter 9. Optimized Cylindrical Magnetic Shielding Vessels; Abstract; 1. INTRODUCTION; 2. FORMULATION; 3. RESULTS AND DISCUSSIONS; 4. CONCLUSIONS; REFERENCES; Chapter 10. Dew-point measurement in the decarburising of Electrical steels; 1. Introduction; 2. Primary system requirements; 3. Hardware description; 4. Software description.
  • 5. Materials testing6. Mirror construction; 7. Results and discussion; 8. Conclusions; References; Chapter 11. Genetic algorithms applied to design optimization; 1. Introduction; 2. Design Optimization Environment; 3. Shape Optimization of a Pole Face; 4. Results; 5. Conclusion; References; Chapter 12. Ground State Configurations of Two-Dimensional Coulomb Gaswith Fractional Charges: A Genetic Optimization Algorithm; 1. INTRODUCTION; 2. GENETIC ALGORITHM; 3. SIMULATION RESULTS; 4. CONCLUSIONS; REFERENCES; Chapter 13. Optimum design of linear induction motor for subwayby neural network and SUMT.

Ejemplares similares