Modelling, Simulation and Optimization

Gregorio Romero Rey, Luisa Martinez Muneta, Gregorio Romero Rey, Luisa Martinez Muneta

• Publisher: IntechOpen
• Year: 2010
• Print ISBN: 9789533070483
• eBook ISBN: 9789535145646
• Topic: Matematica
• Subtopic: Matematica applicata

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others.We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation.

Table of contents

• Modelling Simulation and Optimization
• Contents
• Preface
• 1. Three-dimensional diagnosis and visualization supports in orthodontics based on Reverse Engineering and Solid Free-form Fabrication techniques
• 2. Computational Fluid Dynamics simulations:an approach to evaluate cardiovascular dysfunction
• 3. Asymmetrical Bipedal Modeling for Biomechanical Sit-to-Stand Movement
• 4. Virtual Human Hand:Autonomous Grasping Strategy
• 5. Intermodulation Interference Modelling for Low Earth Orbiting Satellite Ground Stations
• 6. Inverse Synthetic Aperture Radar Simulators as Software-defined Countermeasure Systems: Security by Obfuscation and Deception for Electronic & Computer Networks Warfare
• 7. Distance evaluation between vehicle trajectories and risk indicator
• 8. Optimization problems for controlled mechanical systems: Bridging the gap between theory and application
• 9.Modelling and Simulation of the Shape Optimization Problems
• 10. Simulation of the Impact of the Plough Body Parameters, Soil Properties and Working Modeson the Ploughing Resistance
• 11. Modelling the interoperability and the use of control equipment in an electrical substation
• 12. Study about controlling and optimizing the power quality in case of nonlinear power loads
• 13. sing adaptive filters in controlling of electricalresistance furnace temperature based on a realtime identification method
• 14. Simulation of On-Board Supercapacitor Energy Storage System for Tatra T3A Type Tramcars
• 15. Modelling and Simulating Chip Design Processes
• 16. Advanced Numerical Methodsfor non-Premixed Flames
• 17. Optimization of Full ECF Bleaching Sequences Using Novel Models
• 18. A Lattice Gas Approach to the Mexico City Wind Field Estimation Problem
• 19. A CFD Study of Passive Solar Shading
• 20. Improvement of Production Lines using aStochastic Approach
• 21. Modelling and Simulation of an Automated Warehouse for the Comparisonof Storage Strategies
• 22. Swarm Intelligence for Optimization in theUrban Water Industry
• 23. Modelling and Simulating Large Scale Vehicular Networks for Smart Context-awareTelematic Applications
• 24. Using Modelling and Simulation to Evaluate Network Services in Maritime Networks
• 25. Modelling, Simulating and Autonomous Planning for Urban Search and Rescue
• 26. APPLICATIONS OF SOFT COMPUTIONG IN ENGINEERING PROBLEMS
• 27. Forecasting Chaotic and Non-Linear Time Serieswith Artificial Intelligence and Statistical Measures
• 28. Fuzzy Pattern Modelling of Data Inherent Structures Based on Aggregation of Data with heterogeneous Fuzziness
• 29. Efforts in Agent-based Simulation of Human Panic Behaviour: Reference Model,Potential, Prospects
• 30. Effective agent-based geosimulation development using PLAMAGS