Course detail

Computer Modelling II

FSI-IPMAcad. year: 2020/2021

The course consists of with theoretical and practical parts. The following topics are dealt with in the theoretical part: Modelling of turbulence. Time-averaged fluid flow. Turbulent diffusivity (viscosity & thermal conductivity), appropriate models. Advanced turbulence models. Two-phase flow modelling using the PSICT-method. Modelling of thermal & solar radiation. The following topics are dealt with in the practical part:: Solution of complex fluid flow & heat transfer problems using the Star-CD CFD-code (3-D problems, thermal & solar radiation, 2-phase flow, combustion).

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

prof. Ing. Miroslav Jícha, CSc.

Department

Energy Institute (EÚ)

Learning outcomes of the course unit

Theoretical basis of computational modelling of complex problems of fluid flow and heat transfer (turbulence models, two-phase flow, radiation). Extension of CFD code Star-CD expertise.

Prerequisites

Theoretical basis of heat transfer, thermo mechanics and fluid mechanics. Fundamentals of computational modelling of fluid flow and heat transfer (discretization methods, transient solution, convective-diffusion problems, algorithms).

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

The graded course-unit credit awarding is based on the results of the semester project.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The course objective is to extend theoretical and practical knowledge and computational modelling of fluid flow and heat transfer expertise with regard to their potential use in the diploma thesis .

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

Attendance at seminars is required. Absence from seminars can be compensated for via make-up project.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Versteeg, H.K., Malalasekera, W.: An Introduction to Computational Fluid Dynamics. The Finite Volume Method, , 0

Recommended reading

: Star-CD v.3.0 Manuals., , 0

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-ENI , 2 year of study, winter semester, elective
    branch M-TEP , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Jakub Elcner, Ph.D.

Syllabus

1. Characteristics of turbulence flow
2. Turbulence and its modelling
3. Models of turbulence, Boussinesqova hypothesis.
4. Algebraic models of turbulence
5. Reynolds-Stress models, Large eddy simulations models
6. Multiphase flow, PSICT technique
7. Solution of the momentum equation for droplets.
8. Radiation models
9. Modelling of solar radiation

Computer-assisted exercise

13 hod., compulsory

Teacher / Lecturer

Ing. Jakub Elcner, Ph.D.

Syllabus

1. 3-D Mesh generation.
2. Generation of complex mesh geometry, unstructured mesh.
3. Calculation of radiation and solar radiation.
4. Calculation of multiphase flow.
5. Multiphase flow - postprocessing.
6. Working out of semester project