Mathematical Modeling in Chemical Engineering

Nonfiction, Science & Nature, Technology, Engineering, Chemical & Biochemical
Cover of the book Mathematical Modeling in Chemical Engineering by Anders Rasmuson, Bengt Andersson, Louise Olsson, Ronnie Andersson, Cambridge University Press
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Author: Anders Rasmuson, Bengt Andersson, Louise Olsson, Ronnie Andersson ISBN: 9781139905312
Publisher: Cambridge University Press Publication: March 20, 2014
Imprint: Cambridge University Press Language: English
Author: Anders Rasmuson, Bengt Andersson, Louise Olsson, Ronnie Andersson
ISBN: 9781139905312
Publisher: Cambridge University Press
Publication: March 20, 2014
Imprint: Cambridge University Press
Language: English

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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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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