Course detail

Computational Modelling of Fluid Flow

FSI-KPTAcad. year: 2026/2027

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.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Vojtěch Turek, Ph.D.

Department

Institute of Process Engineering (ÚPI)

Entry knowledge

Basic knowledge from the Bachelor's studies.

Rules for evaluation and completion of the course

Credits are awarded to students who actively participated in the seminars and solved the projects that they had worked on during the semester. Attending the seminars is compulsory, substantiated absences will be compensated by individual study of the respective topics.

Aims

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.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Tu, J.; Liu, C.; Yeoh, G. H.: Computational Fluid Dynamics, 2nd ed. Butterworth-Heinemann, Waltham, MA, USA (2013) (EN)
Versteeg, H. K.; Malalasekera, W.: An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd ed. Pearson Education Ltd., Harlow, UK (2007) (EN)

Recommended reading

Anderson, J. D.: Computational Fluid Dynamics: The Basics with Applications. McGraw-Hill, New York, NY, USA (1995) (EN)
Patankar, S. V.: Numerical Heat Transfer and Fluid Flow. Hemisphere Publishing Corp., Washington, WA, USA (1980) (EN)
Uruba, V.: Turbulence, 2. přepracované vydání. České vysoké učení technické v Praze (2014) (CS)
Wilcox, D. C.: Turbulence Modeling for CFD, 3rd ed. DCW Industries, Inc., La Cañada, CA, USA (2006) (EN)

Classification of course in study plans

  • Programme N-PRI-P Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Computer-assisted exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Vojtěch Turek, Ph.D.

Syllabus

  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