Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development. Presents the main mathematical problems and models of chemical engineering and provides the reader with contemporary methods and tools to solve them Summarizes in a clear and straightforward way, the contemporary trends in the interaction between mathematics and chemical engineering vital to chemical engineers in their daily work Includes classical analytical methods, computational methods, and methods of symbolic computation Covers the latest cutting edge computational methods, like symbolic computational methods
Chapter 10—polymers: design and production, In Constales D, Yablonsky GS, D'hooge DR, et al., editors: Advanced data analysis & modelling in chemical engineering, Amsterdam, 2017, Elsevier, pp 307–349. Coote ML, Davis TP: The mechanism ...
Chemical Kinetics and Reaction Dynamics. 3rd ed. Courier Corporation/ McGraw-Hill; 2012. p. 352 Constales D, Yablonsky GS, D'hooge DR, Thybaut JW, Marin GB. Advanced Data Analysis and Modelling in Chemical Engineering. 2nd ed.
... the management and analysis of heterogeneous data. Wisdombuilder, L.L.C. (2001). US6327586 Constales, D., Yablonsky, G.S., D'hooge, D.R., Thybaut, J.W., Marin, G.B.: Advanced data analysis and modelling in chemical engineering.
This second, extended and updated edition presents the current state of kinetics of chemical reactions, combining basic knowledge with results recently obtained at the frontier of science.
Based on the minimal mechanism, the minimal kinetic model will be constructed. ... In every concrete case, such a model is generated via special systematic studies. ... Advanced data analysis and modeling in chemical engineering.
This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®.
This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.
Also called data mining, or knowledge discovery, this often computer-assisted process can uncover hidden patterns and relationships in data. Meaning is extracted from enormous databases through advanced statistical analysis and modeling ...
Computers & Chemical Engineering 24(2-7), 871–877 (2000) Pearson, R.K.: Mining imperfect data. Society for Industrial and Applied Mechanics, USA (2005) Qin, J.: Recursive PLS algorithms for adaptive data modeling.
[76] Q. Jiang, B. Huang, Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method, Journal of Process Control 46 (2016) 75–83. [77] J.J. Downs, E.F. Vogel, A plant-wide industrial ...