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Course, academic year 2024/2025
  
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Mathematical Models of Chemical and Pharmaceutical Processes - P111009
Title: Matematické modely chemických a farmaceutických procesů
Guaranteed by: Department of Organic Technology (111)
Faculty: Faculty of Chemical Technology
Actual: from 2020
Semester: summer
Points: summer s.:0
E-Credits: summer s.:0
Examination process: summer s.:
Hours per week, examination: summer s.:0/0, other [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
can be fulfilled in the future
Guarantor: Zámostný Petr prof. Ing. Ph.D.
Annotation -
Subject is focused on getting PhD students of technological study programs familiar with mathematical modeling techniques and with the mathematical modeling applications for study, analysis, and optimization of chemical and pharmaceutical processes. Subject offers an overview of mathematical modeling techniques, as well as demonstration of implementation and application of various models.
Last update: Fialová Jana (24.04.2020)
Aim of the course -

Students will be able to:

  • select appropriate mathematical modeling technique for specific problem solving
  • establish mass, energy, and momentum balance equations for complex dynamic systems
  • implement simple mathematical models in Matlab environment

Last update: Fialová Jana (24.04.2020)
Course completion requirements -

Project based on development of mathematical model of specified system and successful project discussion.

Last update: Fialová Jana (24.04.2020)
Literature -

R: Ingham J., Dunn I. J., Heinzle E., Přenosil J. E.: Chemical Engineering Dynamics - Modelling with PC Simulation, VCH, Wienheim 1994.

A: Hickey A. J., Ganderton D: Pharmaceutical Process Engineering, Marcel Dekker 2001.

A: Fogler H. S.: Elements of Reaction Engineering, Prentice Hall, New Jersey 2000.

Last update: Fialová Jana (24.04.2020)
Syllabus -

1. Introduction to matematical models, types of models

2. Empirical and mechanistical models

3. Modeling fluid dynamics

4. Heat and mass transfer models

5. Models of complex reaction systems and heterogeneous catalytic systems

6. Models of processes involving particulate solids

7. Models optimization

8. Identification of mathematical model parameters

9. Model discrimination

10. Artificial neural networks

11. Probabilistic models

Last update: Fialová Jana (24.04.2020)
 
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