Modelling, Simulation and Optimization
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 pro...
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IntechOpen
2010
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 03145naaaa2200301uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_53752 | ||
| 005 | 20210211 | ||
| 020 | |a 156 | ||
| 020 | |a 9789533070483 | ||
| 024 | 7 | |a 10.5772/156 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Luisa Martinez Muneta |4 auth | |
| 700 | 1 | |a Gregorio Romero Rey |4 auth | |
| 245 | 1 | 0 | |a Modelling, Simulation and Optimization |
| 260 | |b IntechOpen |c 2010 | ||
| 300 | |a 1 electronic resource (720 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a All rights reserved |4 http://oapen.org/content/about-rights | ||
| 546 | |a English | ||
| 653 | |a Physical Sciences | ||
| 653 | |a Engineering and Technology | ||
| 653 | |a Mathematical Modeling | ||
| 653 | |a Computer and Information Science | ||
| 653 | |a Numerical Analysis and Scientific Computing | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.intechopen.com/books/modelling-simulation-and-optimization |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/53752 |7 0 |z DOAB: description of the publication |