Theoretical Chemical Engineering

Theoretical Chemical Engineering
Author :
Publisher : Springer Science & Business Media
Total Pages : 612
Release :
ISBN-10 : 9783642107788
ISBN-13 : 3642107788
Rating : 4/5 (88 Downloads)

Book Synopsis Theoretical Chemical Engineering by : Christo Boyadjiev

Download or read book Theoretical Chemical Engineering written by Christo Boyadjiev and published by Springer Science & Business Media. This book was released on 2010-10-20 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of theory in science was formulated very brilliantly by Max Planck: Experimenters are the striking force of science. The experiment is a question which science puts to nature. The measurement is the registration of nature’s answer. But before the question is put to nature,it must be formulated. Before the measurement result is used,itmust be explained, i.e., the answer must be understood correctly. These two problems are obligations of the theoreticians. Chemical engineering is an experimental science, but theory permits us to formulate correct experimental conditions and to understand correctly the exp- imental results. The theoretical methods of chemical engineering for modeling and simulation of industrial processes are surveyed in this book. Theoretical chemical engineering solves the problems that spring up from the necessity for a quantitative description of the processes in the chemical industry. They are quite different at the different stages of the quantitative description, i.e., a wide circle of theoretical methods are required for their solutions. Modeling and simulation are a united approach to obtain a quantitative description of the processes and systems in chemical engineering and chemical technology, which is necessary to clarify the process mechanism or for optimal process design, process control, and plant renovation. Modeling is the creation of the mathematical model, i.e., construction of the mathematical description (on the basis of the process mechanism), calculation of the model parameters (using experimental data), and statistical analysis of the model adequacy.


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