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Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering
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Modelling in Mechanical Engineering and Mechatronics - Towards Autonomous Intelligent Software Models (Hardcover, 2007 ed.)
Loot Price: R4,027
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Modelling in Mechanical Engineering and Mechatronics - Towards Autonomous Intelligent Software Models (Hardcover, 2007 ed.)
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Modelling is an activity that is found in every domain of research
and science, and takes place even when we are not aware of it. The
role of modelling and the quality of models are extremely important
not only in engineering but for science in general. Modelling in
Mechanical Engineering and Mechatronics presents a model-centred
approach focusing on distributed development and use of autonomous
intelligent software models, particularly the efficiency of the
models, and their interaction and integration into distributed
autonomous intelligent systems. In order to systematise the
available knowledge, a domain ontology is presented; a subset of
which is used to create a modelling theory based on knowledge and
experience in the areas of software engineering, mechanical
engineering and mechatronics. This holistic view of modelling
explains the purpose and the essence of modelling, as well as the
benefits that are to be expected. It discusses the relations to
other branches of engineering and science and as a result, it
demonstrates strategies, methods and tools for unleashing the full
power of modelling. Modelling in Mechanical Engineering and
Mechatronics considers the viewpoints of many different experts:
the modeller, engineer, system architect, software developer, and
users of the models and as such will be of interest to all these
people. Moreover, it attempts to bridge the gaps between modelling,
engineering, computer science, knowledge representation, software
engineering, model integration, standardisation and production
engineering. The aim is to instruct the reader how to efficiently
simulate sophisticated products and processes in mechanical
engineering in view of theircontinuously increasing complexity in a
modern knowledge-based society.
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