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Modelling Simulation and Optimization
Modelling Simulation and Optimization
Date: 26 April 2011, 00:10

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From the preface:
Computer-Aided Design and system analysis aims to fnd 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 is taking on major importance. On the other hand, in most areas of engineering the
components of a system are interconnected and belong to the 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 the path of their different variables). This is especially important in automotive products,
railway dynamics, machine tools, robotics and aeronautics. Modelling a complete system
with particular attention to detail in the specifc component intended for analysis enables
concepts relative to the component to be analysed as well as their infuence on the rest of the
system .
The purpose of modelling and simulating dynamic systems is to generate a set of algebraic
and differential equations or a mathematical model. This always leads to a description of the
represented system that is never ambiguous.
In order to perform rapid product optimisation iterations, the models must be formulated
and evaluated in the most effcient way. Automated environments contribute to this. Freeing
engineers of the tedious task of producing equations is vital. In addition, this automation
prevents the inevitable human error and leads to a rapid evaluation of the different alternatives
of a particular component. One of the pioneers of simulation technology in medicine defnes
“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…

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