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The course familiarizes the students with basic principles of mathematic modeling, apparatus models common in chemic sector, their evaluation, solution and simulation
Last update: Pátková Vlasta (19.04.2018)
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studenti budou hodnoceni zápočtem za práci v seminářích, známkou za písemný test (jehož součástí bude tvorba programů pro výpočet konkrétních zadání) a ústní zkouškou Last update: Bártová Darina (26.04.2018)
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R:Noskievič P.,Modelování a identifikace systémů,Ostrava,MONTANEX a. s.,1999,8072250302 A:Bequette B.W.,Process Dynamics.Modeling, Analysis, and Simulation,Prentice Hall PTR,New Jersey,1998,0132068893 A:Ingham, J., Dunn, I.J., et al.:Chemical Engineering Dynamics,VCH,Weinheim,1994,9783527314607 A:Hangos, K.M., Cameron, I.T.,Process Modelling and Model Analysis,Academic Press,N.Y.,2001,0121569314 Last update: Pátková Vlasta (19.04.2018)
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1. Model and modeling definition, modeling postulates, model classification 2. Modeling methods, basic terms and conceptions of continuum mechanics 3. Basic equation for matter, momentum and energy sharing 4. Hydrodynamic flow models, their classification. Ideal mixing and piston flow 5. Cascade of ideal mixers model with and without back-mix 6. Dispersion model, models combination, 7. Kinetics of matter and heat transfer. Phases balance, chemic kinetics, reaction velocity, chemic balance 8. Static and dynamic behavior models. Dimensionless equations 9. Models of containers for liquids and gases 10. Models of heat exchangers I 11. Models of heat exchangers II - distribute parameters 12. Models of distillation columns 13. Models of chemical reactors, stability 14. Models of biochemical reactors Last update: Pátková Vlasta (19.04.2018)
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internal materials Last update: Pátková Vlasta (19.04.2018)
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Students will be able to: • analyze a problem • provide the mathematical description of the problem • solve both static and dynamic behavior • perform MATLAB implementation • perform system behavior simulation Last update: Pátková Vlasta (19.04.2018)
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Mathematics I and the MATLAB knowledge are the basic preconditions. Matematics II, Laplace transform and SIMULINK knowledge give advantage. Last update: Pátková Vlasta (19.04.2018)
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Matematics II, Chemical engineering Last update: Pátková Vlasta (19.04.2018)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Konzultace s vyučujícími | 0.6 | 16 | ||
Účast na přednáškách | 1 | 28 | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 0.7 | 20 | ||
Práce na individuálním projektu | 0.7 | 20 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
Účast na seminářích | 1 | 28 | ||
5 / 5 | 140 / 140 |
Coursework assessment | |
Form | Significance |
Regular attendance | 25 |
Examination test | 50 |
Oral examination | 25 |