Course detail

Computational Modelling of Fluid Flow

FSI-KPTAcad. year: 2023/2024

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.

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.


Presence in the seminars is compulsory. Absences are 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 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.

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

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

eLearning

eLearning: currently opened course

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 hours, compulsory

Teacher / Lecturer

Ing. Tomáš Juřena, Ph.D.

Syllabus

  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

eLearning

eLearning: currently opened course