A solid introduction, enabling the reader to successfully formulate, construct, simplify, evaluate and use mathematical models in chemical engineering.
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Anders Rasmuson is a Professor in Chemical Engineering at Chalmers University of Technology, Gothenburg, Sweden. He obtained his PhD in Chemical Engineering at the Royal Institute of Technology, Stockholm, in 1978. His research has focused on mathematical modelling combined with experimental work in many areas of chemical engineering, for example particulate processes, multiphase flows and transport phenomena, mixing and separation processes.
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Hardcover. Zustand: new. Hardcover. 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. A solid introduction, equipping the reader with the insight and skill required to successfully formulate, construct, simplify, evaluate and use mathematical models in chemical engineering. The accompanying problems, tutorials, and projects provide the reader with hands-on experience, and include model formulation at different levels, analysis, parameter estimation and numerical solution. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781107049697
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