SubjectsSubjects(version: 965)
Course, academic year 2019/2020
  
Modelling Mathematical Processes - M445005
Title: Matematické modelování procesů
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2020
Semester: summer
Points: summer s.:5
E-Credits: summer s.:5
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Kukal Jaromír doc. Ing. Ph.D.
Bártová Darina Ing. Mgr. Ph.D.
Classification: Mathematics > Mathematics General
Interchangeability : N445013
Examination dates   Schedule   
This subject contains the following additional online materials
Annotation -
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)
Course completion requirements - Czech

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)
Literature -

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)
Syllabus -

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)
Learning resources -

internal materials

Last update: Pátková Vlasta (19.04.2018)
Learning outcomes -

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)
Entry requirements -

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)
Registration requirements -

Matematics II, Chemical engineering

Last update: Pátková Vlasta (19.04.2018)
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

 
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