Course detail

Computational Modelling of Fluid Flow

FSI-KPT Acad. year: 2027/2028 Summer semester

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

Entry knowledge

  • The fundamentals of mathematical analysis, linear algebra and numerical methods at the Bachelor’s level,
  • The basic concepts of fluid mechanics and thermomechanics (conservation laws, laminar and turbulent flow, heat and mass transfer),
  • Ability to work with common engineering software in the Windows environment and to work independently in a computer lab,
  • Ability to study professional texts in English (ANSYS documentation and tutorials).

Rules for evaluation and completion of the course

The course is completed with a course-unit credit (pass/fail); no examination or graded course-unit credit is awarded.

Ongoing monitoring of the study is carried out by checking students’ independent work on the tasks directly in the exercises and by reviewing the partial steps of the semester project solution.

The controlled instruction comprises all computer-assisted exercises. Missed classes shall be made up through individual study of the respective topic according to the teacher’s instructions; making up missed classes is a condition for awarding the course-unit credit.

The resulting classification of the course is two-level: course-unit credit (passed) / no credit (failed). The credit is awarded after meeting the active-participation condition and successfully completing the project.

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

Study materials are available in the e-learning course for the KPT course (BUT Moodle) for the respective academic year:

  • presentations covering the theoretical foundations of CFD
  • exercise presentations (tutorials with assignments, task analyses, workflows, and results analysis)
  • exercise resources in the form of executable scripts, Excel spreadsheets, and geometry and mesh files for selected tasks
  • textbooks written in Czech
  • supplementary exercises and suggestions for further work
  • links to relevant websites and YouTube channels dedicated to CFD topics
  • An automatically evaluated CFD quiz with feedback on the answers to verify students' own understanding of the subject matter.

The study programmes with the given course

Programme N-PRI-P: Process Engineering, Master's, compulsory-optional

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. 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