TY  - BOOK
AU  - Rasmuson,Anders
TI  - Mathematical modeling in chemical engineering
SN  - 9781107049697
AV  - TP155.2.M35 R37 2014
U1  - 660 23
PY  - 2014///]
CY  - United Kingdom, New York
PB  - Cambridge University Press
KW  - Chemical engineering
KW  - Mathematical models
KW  - TECHNOLOGY & ENGINEERING / Chemical & Biochemical
KW  - bisacsh
N1  - Includes bibliographical references (page 181) and index; 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
N2  - "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"--; "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"--
UR  - http://assets.cambridge.org/97811070/49697/cover/9781107049697.jpg
ER  -