Computational Modelling of Fluid Flow (FSI-KPT)

Academic year 2026/2027
Supervisor: doc. Ing. Vojtěch Turek, Ph.D.  
Supervising institute: ÚPI all courses guaranted by this institute
Teaching language: Czech
Course type: departmental course
Aims of the course unit:

The objective of the course is to acquaint the students with the fundamentals, applications, advantages, disadvantages, and potential pitfalls of Computational Fluid Dynamics (CFD). The students will master the basics of workflow using professional CFD tools within the ANSYS environment; however, the acquired knowledge also applies to other CFD packages. The students will be self-sufficient in solving and analysing fundamental fluid flow problems. The subject also provides a way to relate and deepen theoretical knowledge from other essential process engineering disciplines, which are taught in other courses.

The acquired theoretical and practical knowledge can be further developed in the specialised follow-up course “Practical applications of CFD (K20)”, which will prepare students to utilise CFD in engineering practice.
Learning outcomes and competences:
 
Prerequisites:
 
Course contents:

The course focuses on modern computational methods for modelling fluid flow, which enable the virtual testing of equipment and its components under various conditions. The methods are widely used in industry due to the availability of hardware and specialised software. The students will be introduced to the theoretical foundations of the methods and learn to solve practical tasks using the ANSYS environment. The course provides a solid foundation for successfully completing the CFD knowledge official certificate for Ansys Fluent in a subsequent follow-up course.
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:
 
Controlled participation in lessons:
 
Type of course unit:
    Computer-assisted exercise  13 × 3 hrs. compulsory                  
Course curriculum:
    Computer-assisted exercise

  1. Fluid flow through the eyes of simulations

  2. A CFD Model: What's under the hood

  3. Modelling of mass and momentum transfer

  4. Modelling of energy transfer

  5. Turbulence around us

  6. Modelling of turbulence

  7. Modelling of turbulence II

  8. Transport phenomena in a simulation of flow

  9. Conditions matter!

  10. Numerics – alchemy or mastery?

  11. Calculation procedure or revealing the secret of the solver

  12. Real vs. virtual experiment

  13. Solution to assignments
Literature - fundamental:
1. Tu, J.; Liu, C.; Yeoh, G. H.: Computational Fluid Dynamics, 2nd ed. Butterworth-Heinemann, Waltham, MA, USA (2013)
2. Versteeg, H. K.; Malalasekera, W.: An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd ed. Pearson Education Ltd., Harlow, UK (2007)
Literature - recommended:
1. Wilcox, D. C.: Turbulence Modeling for CFD, 3rd ed. DCW Industries, Inc., La Cañada, CA, USA (2006)
2. Anderson, J. D.: Computational Fluid Dynamics: The Basics with Applications. McGraw-Hill, New York, NY, USA (1995)
3. Uruba, V.: Turbulence, 2. přepracované vydání. České vysoké učení technické v Praze (2014)
4. Patankar, S. V.: Numerical Heat Transfer and Fluid Flow. Hemisphere Publishing Corp., Washington, WA, USA (1980)
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
N-PRI-P full-time study --- no specialisation -- Cr 3 Compulsory-optional 2 1 S
C-AKR-P full-time study CLS -- Cr 3 Elective 1 1 S