Computational Modelling of Fluid Flow (FSI-KPT)

Academic year 2024/2025
Supervisor: doc. Ing. Vojtěch Turek, Ph.D.  
Supervising institute: ÚPI all courses guaranted by this institute
Teaching language: Czech
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 with professional CFD tools within the ANSYS environment; however, the acquired knowledge applies to other CFD packages as well. The students will be self-sufficient in solving and analysis of fundamental fluid flow problems. The subject also provides a way to relate and deepen theoretical knowledge from other essential process engineering disciplines.

The acquired theoretical and practical knowledge may be extended in the specialized follow-up course “Practical applications of CFD (K20)”, which will prepare students to utilize CFD in engineering practice.
Learning outcomes and competences:
 
Prerequisites:
 
Course contents:
 
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:

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.
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. Conditions matter!

  4. Turbulence around us

  5. Modeling of turbulence

  6. Modeling of turbulence II

  7. Transport phenomena in a simulation of flow

  8. Modeling of heat transfer

  9. Modeling of momentum and mass transfer

  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