Course detail

Computational Modelling of Fluid Flow

FSI-KPT Acad. year: 2024/2025 Summer semester

Learning outcomes of the course unit

Prerequisites

Planned learning activities and teaching methods

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.

Language of instruction

Czech

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 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.

Specification of controlled education, way of implementation and compensation for absences

The study programmes with the given course

Programme N-PRI-P: Process Engineering, Master's
branch ---: no specialisation, 3 credits, compulsory-optional

Programme C-AKR-P: , Lifelong learning
branch CLS: , 3 credits, elective

Type of course unit

 

Computer-assisted exercise

39 hours, compulsory

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