Stochastic modelling in process technology /

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There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent syste...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dehling, Herold
Otros Autores: Gottschalk, Timo, Hoffmann, Alex C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston ; London : Elsevier, 2007.
Edición:1st ed.
Colección:Mathematics in science and engineering ; v. 211.
Temas:
Manufacturing processes > Mathematical models.
Stochastic models.
Fabrication > Modèles mathématiques.
Modèles stochastiques.
TECHNOLOGY & ENGINEERING > Industrial Technology.
TECHNOLOGY & ENGINEERING > Technical & Manufacturing Industries & Trades.
TECHNOLOGY & ENGINEERING > Industrial Engineering.
TECHNOLOGY & ENGINEERING > Manufacturing.
Manufacturing processes > Mathematical models
Stochastic models
Acceso en línea:Texto completo
Descripción
Sumario:There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computi.
Descripción Física:1 online resource (x, 279 pages) : illustrations.
Bibliografía:Includes bibliographical references (pages 263-274) and index.
ISBN:0080548970
9780080548975

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