Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method

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 h...

Descripción completa

Detalles Bibliográficos
Autores principales: Quiza, Ramón, López-Armas, Omar, Davim, J Paulo
Lenguaje:eng
Publicado: Springer 2012
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-28085-6
http://cds.cern.ch/record/1501801
_version_ 1780927064778473472
author Quiza, Ramón
López-Armas, Omar
Davim, J Paulo
author_facet Quiza, Ramón
López-Armas, Omar
Davim, J Paulo
author_sort Quiza, Ramón
collection CERN
description 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.
id cern-1501801
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher Springer
record_format invenio
spelling cern-15018012021-04-21T23:55:57Zdoi:10.1007/978-3-642-28085-6http://cds.cern.ch/record/1501801engQuiza, RamónLópez-Armas, OmarDavim, J PauloHybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element MethodEngineeringArtificial 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.Springeroai:cds.cern.ch:15018012012
spellingShingle Engineering
Quiza, Ramón
López-Armas, Omar
Davim, J Paulo
Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title_full Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title_fullStr Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title_full_unstemmed Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title_short Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method
title_sort hybrid modeling and optimization of manufacturing: combining artificial intelligence and finite element method
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-28085-6
http://cds.cern.ch/record/1501801
work_keys_str_mv AT quizaramon hybridmodelingandoptimizationofmanufacturingcombiningartificialintelligenceandfiniteelementmethod
AT lopezarmasomar hybridmodelingandoptimizationofmanufacturingcombiningartificialintelligenceandfiniteelementmethod
AT davimjpaulo hybridmodelingandoptimizationofmanufacturingcombiningartificialintelligenceandfiniteelementmethod

Ejemplares similares