Computational Modelling of Fluid Flow (FSI-KPT)

Academic year 2023/2024
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).
Learning outcomes and competences:

The students will get essential knowledge in the computational modeling of fluid flow. While they master the basics of workflow with professional CFD tools within the ANSYS environment, the acquired knowledge applies to other CFD packages. 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 crucial 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.
Prerequisites:

Basic knowledge from the Bachelor's studies.
Course contents:

The course focuses on modern computational methods for modeling fluid flow, which allow virtual testing of equipment and their parts under various conditions. The methods are widely used in industry due to the availability of hardware and specialized software. The students will be acquainted with the theoretical basics of the method and learn to solve practical tasks using the ANSYS environment.
Teaching methods and criteria:

The course is taught via seminars which are focused on acquiring general knowledge on computational modelling of fluid flow and its applications to specific problems from industial practice. Consultations of the projects that the students work on are also part of the seminars.
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.
Controlled participation in lessons:

Presence in the seminars is compulsory. Absences are compensated by individual study of the respective topics.
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