Stochastic modelling in process technology:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam
Elsevier
2007
|
| Edition: | 1st ed |
| Series: | Mathematics in science and engineering
v. 211 |
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Includes bibliographical references (p. 263-274) and index Front Cover; Stochastic Modelling in Process Technology; Copyright Page; Preface; Table of Contents; Chapter 1 Modeling in Process Technology; Chapter 2 Principles of Stochastic Process modeling; Chapter 3 Batch Fluidized Beds; Chapter 4 Continuous Systems and RTD; Chapter 5 RTD in Continuous Fluidized Beds; Chapter 6 Mixing and Reactions; Chapter 7 Particle Size Manipulation; Chapter 8 Multiphase Systems; Chapter 9 Diffusion Limits; Appendix A Equations for RTD in CSTR and DPF; Bibliography; Index; Mathematics in Science and Engineering 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 |
| Physical Description: | 1 Online-Ressource (x, 279 p.) |
| ISBN: | 0080548970 9780080548975 |
Staff View
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| 245 | 1 | 0 | |a Stochastic modelling in process technology |c Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
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| 500 | |a Includes bibliographical references (p. 263-274) and index | ||
| 500 | |a Front Cover; Stochastic Modelling in Process Technology; Copyright Page; Preface; Table of Contents; Chapter 1 Modeling in Process Technology; Chapter 2 Principles of Stochastic Process modeling; Chapter 3 Batch Fluidized Beds; Chapter 4 Continuous Systems and RTD; Chapter 5 RTD in Continuous Fluidized Beds; Chapter 6 Mixing and Reactions; Chapter 7 Particle Size Manipulation; Chapter 8 Multiphase Systems; Chapter 9 Diffusion Limits; Appendix A Equations for RTD in CSTR and DPF; Bibliography; Index; Mathematics in Science and Engineering | ||
| 500 | |a 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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| indexdate | 2024-07-10T07:19:21Z |
| institution | BVB |
| isbn | 0080548970 9780080548975 |
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| spelling | Dehling, Herold Verfasser aut Stochastic modelling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann 1st ed Amsterdam Elsevier 2007 1 Online-Ressource (x, 279 p.) txt rdacontent c rdamedia cr rdacarrier Mathematics in science and engineering v. 211 Includes bibliographical references (p. 263-274) and index Front Cover; Stochastic Modelling in Process Technology; Copyright Page; Preface; Table of Contents; Chapter 1 Modeling in Process Technology; Chapter 2 Principles of Stochastic Process modeling; Chapter 3 Batch Fluidized Beds; Chapter 4 Continuous Systems and RTD; Chapter 5 RTD in Continuous Fluidized Beds; Chapter 6 Mixing and Reactions; Chapter 7 Particle Size Manipulation; Chapter 8 Multiphase Systems; Chapter 9 Diffusion Limits; Appendix A Equations for RTD in CSTR and DPF; Bibliography; Index; Mathematics in Science and Engineering 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 TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Mathematisches Modell Manufacturing processes Mathematical models Stochastic models Gottschalk, Timo Sonstige oth Hoffmann, Alex C. Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 0-444-52026-0 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-444-52026-5 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=203383 Aggregator Volltext |
| spellingShingle | Dehling, Herold Stochastic modelling in process technology TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Mathematisches Modell Manufacturing processes Mathematical models Stochastic models |
| title | Stochastic modelling in process technology |
| title_auth | Stochastic modelling in process technology |
| title_exact_search | Stochastic modelling in process technology |
| title_full | Stochastic modelling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_fullStr | Stochastic modelling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_full_unstemmed | Stochastic modelling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_short | Stochastic modelling in process technology |
| title_sort | stochastic modelling in process technology |
| topic | TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Mathematisches Modell Manufacturing processes Mathematical models Stochastic models |
| topic_facet | TECHNOLOGY & ENGINEERING / Industrial Technology TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades TECHNOLOGY & ENGINEERING / Industrial Engineering TECHNOLOGY & ENGINEERING / Manufacturing Manufacturing processes / Mathematical models Stochastic models Mathematisches Modell Manufacturing processes Mathematical models |
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