Hidden Bibliographic Details
| Varying Form of Title: | Stochastic modeling in process technology
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| Other authors / contributors: | Gottschalk, Timo.
Hoffmann, Alex C.
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| ISBN: | 0080548970
9780080548975
0444520260
9780444520265
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| Notes: | Includes bibliographical references (pages 263-274) and index.
Print version record.
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| Summary: | 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.
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| Other form: | Print version: Dehling, Herold. Stochastic modelling in process technology. Amsterdam ; London : Elsevier, 2007 9780444520265 0444520260
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