Hybrid Modeling and Optimization of Manufacturing
Combining Artificial Intelligence and Finite Element Method
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Beschreibung
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.
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.
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 Includes supplementary material: sn.pub/extras
Autor*in
Ramón Quiza
Themen in »Hybrid Modeling and Optimization of Manufacturing«
AI tools optimization Bayesian probability Evolutionary algorithms FEM modeling Hybrid modeling Manufacturing processes