Advanced Thermofluid Simulations (FSI-IMT)

Academic year 2021/2022
Supervisor: doc. Ing. Jaroslav Katolický, Ph.D.  
Supervising institute: EÚ all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
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.
Learning outcomes and competences:
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-CCM+ 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).
Course contents:
Theoretical part:
- Turbulence modeling. Time-averaged flow. Turbulent diffusion (viscosity and thermal conductivity), models for its determination. Advanced turbulent modeling.
- Multiphase flow
- Moving reference frame
- Modeling of thermal and solar radiation.
- Macros and automatisation of Star-CCM+ workflow.

Practical part:
Solution of complex fluid flow & heat transfer problems using the Star-CCM+ solver (3-D problems, thermal & solar radiation, Multiphase flow).
Teaching methods and criteria:
Course is performed on personal computers equipped with software, which is sitable for solving problems connected to computational fluid dynamics
Assesment methods and criteria linked to learning outcomes:
The graded course-unit credit awarding is based on the results of the semester project.
Controlled participation in lessons:
Attendance at seminars is required. Absence from seminars can be compensated for via make-up project.
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Computer-assisted exercise  13 × 1 hrs. compulsory                  
Course curriculum:
    Lecture 1. CFD - Good practise guide
2. Numerical simulation of turbulent flow. Basics.
3. Reynolds Averaging of Navier-Stokes equations.
4. Turbulent viscosity models. Boussinesq approximation.
5. Algebraic models of turbulence. One- and Two-equation models.
6. Boundary conditions for turbulent flows. Turbulent boundary layer
7. Reynolds-Stress models. Large Eddy Simulation (LES).
8. Multiphase flow.
9. Methods of modelling multiphase flow (Euler/Lagrange approach).
10. Moving reference frames
11. Thermal radiation.
12. Modelling of solar loads.
13. Automation of workflow with Star-CCM+ solver.
    Computer-assisted exercise 1. CFD - Good practise guide - Grid independency test.
2. Numerical simulation of turbulent flow - Airflow in constricted tube, comparison with experimental results.
3. Multiphase flow (Lagrangian approach) - Transport and deposition of aerosols inside respiratory tract.
4. Multiphase flow (Eulerian approach) - Simulation of water surface using VOF method.
5. Moving reference frames - Airflow inside fan.
6. Thermal radiation - HVAC inside car cabin.
7. Automation of workflow with Star-CCM+ solver - Definition of boundary condition using user field function.
Literature - fundamental:
1. VERSTEEG, H K a W MALALASEKERA. An Introduction to Computational Fluid Dynamics: The Finite Volume Method. 2. vyd. B.m.: Pearson Education Limited, 2005. ISBN 978-0-13-127498-3.
2. TU, Jiyuan, Guan Heng YEOH a Chaoqun LIU. Computational Fluid Dynamics: A Practical Approach. B.m.: Butterworth-Heinemann, 2007. ISBN 9780080556857.
3. WILCOX, David C. Turbulence modeling for CFD. 3rd vyd. B.m.: DCW Industries, 2006. ISBN 978-1928729082.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
N-ETI-P full-time study TEP Environmental Engineering -- Cr,Ex 4 Compulsory 2 2 W