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Engineering - Production & Process Engineering | Hybrid Modeling and Optimization of Manufacturing - Combining Artificial Intelligence and Finite

Hybrid Modeling and Optimization of Manufacturing

Combining Artificial Intelligence and Finite Element Method

Quiza, Ramón, López-Armas, Omar, Davim, Joao Paulo

2012, VIII, 95p. 67 illus..

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  • About this book

  • Explains possible combinations of AI and FEM to be used in modeling and optimization of manufacturing processes
  • Describes comprehensively the used techniques, allowing their use by researchers and engineers
  • Deals with the problem of modeling and optimizing manufacturing processes not only from a research point of view, but also with a technical approach
  • Includes a full developed case of study, illustrating the application of the used techniques

Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Content Level » Research

Keywords » AI tools optimization - Bayesian probability - Evolutionary algorithms - FEM modeling - Hybrid modeling - Manufacturing processes

Related subjects » Computational Intelligence and Complexity - Mechanics - Production & Process Engineering

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