Mathematical modeling in chemical engineering
Machine generated contents note: 1. Introduction; 2. Classification; 3. Model formulation; 4. Empirical model building; 5. Strategies for simplifying mathematical models; 6. Numerical methods; 7. Statistical analysis of mathematical models.
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| Weitere Verfasser: | , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cambridge u.a.
Cambridge Univ. Press
2014
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| Schlagworte: | |
| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | Machine generated contents note: 1. Introduction; 2. Classification; 3. Model formulation; 4. Empirical model building; 5. Strategies for simplifying mathematical models; 6. Numerical methods; 7. Statistical analysis of mathematical models. "The book is a solid introduction to mathematical modelling for a range of chemical engineering applications, covering model formulation, simplification and validation. It explains how to describe a physical/chemical reality in mathematical language and how to select the type and degree of sophistication for a model. Model reduction and approximate methods are presented, including dimensional analysis, time constant analysis and asymptotic methods. An overview of solution methods for typical classes of models is given. As final steps in model building, parameter estimation and model validation and assessment are discussed. The reader is given hands-on experience of formulating new models, reducing the models and validating the models. The authors assume the knowledge of basic chemical engineering, in particular transport phenomena, as well as basic mathematics, statistics and programming. The accompanying problems, tutorials, and projects include model formulation at different levels, analysis, parameter estimation and numerical solution"-- "A solid introduction to mathematical modeling for a range of chemical engineering applications, covering model formulation, simplification and validation. It explains how to describe a physical/chemical reality in mathematical language and how to select the type and degree of sophistication for a model. Model reduction and approximation methods are presented, including dimensional analysis, time constant analysis and asymptotic methods. An overview of solution methods for typical classes of models is given. As final steps in model building, parameter estimation and model validation and assessment are discussed. The reader is given hands-on experience of formulating new models, reducing the models and validating the models. The authors assume the knowledge of basic chemical engineering, in particular transport phenomena, as well as basic mathematics, statistics and programming. The accompanying problems, tutorials, and projects include model formulation at different levels, analysis, parameter estimation and numerical solution"-- |
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| Beschreibung: | Includes index and bibliographical references (page [180]) |
| Beschreibung: | X, 183 S. Ill., graph. Darst. |
| ISBN: | 9781107049697 978-1-107-04969-7 |