Course detail
Heat Transfer and Fluid Flow Simulations
FSI-ITMAcad. year: 2024/2025
The course consists of with theoretical and practical parts. The following topics are dealt with in the theoretical part: Fundamentals of numerical modelling. Heat conduction in one- and two-dimensional coordinate systems. Control-volume discretisation method. Source linearisation, boundary conditions, solution of algebraic equations systems (TDMA algorithm). Computation schemes for unsteady conduction. Equations of viscous laminar flow, general transport equation. Discretisation of convection-diffusion problems. Pressure-velocity field solution algorithm. The following topics are dealt with in the practical part: CFD-code Star-CD practice (steady 2-D flow with heat transfer, natural convection, unsteady problems).
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Attendance at seminars is required. Absence from seminars can be compensated by attending seminars with other group of students or for via a make-up project.
Aims
Students will acquire the theoretical basis of computational modelling of fluid flow and heat transfer (discretization methods, transient solution, convective-diffusion problems, algorithms). In the practical part they will experience work with CFD codes (set up of models, discretization of solution domain, boundary conditions, management of calculations, postprocessing.
Study aids
Prerequisites and corequisites
Basic literature
S. V. Patankar: Computation of Conduction and Duct Flow Heat Transfer, , 0
S. V. Patankar: Numerical Heat Transfer and Fluid Flow, , 0
Recommended reading
Elearning
Classification of course in study plans
- Programme N-ETI-P Master's
specialization TEP , 1 year of study, summer semester, compulsory
- Programme N-IMB-P Master's
specialization IME , 2 year of study, summer semester, compulsory-optional
specialization BIO , 2 year of study, summer semester, compulsory-optional - Programme C-AKR-P Lifelong learning
specialization CLS , 1 year of study, summer semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Overview of numerical methods. Finite Difference Method
3. Finite Volume Method, Apply the FVM to the 1D diffusion equation
4. Apply the FVM to the 2D diffusion equation. Discretization of governing equations.
5. Source term linearization.
6. Discretization of boundary conditions.
7. Solution of the system of discretization equations. Tri-Diagonal Matrix Algorithm (TDMA)
8. Relaxation technique, Correction technique
9. Solution of the unsteady problems, Explicit, Implicit and Crank Nicholson schemes
10.Convection-Diffusion equation
11.Discretization of the convection-diffusion equation
12.SIMPLE and SIMPLER algorithms
Computer-assisted exercise
Teacher / Lecturer
Syllabus
2) Mesh generation
3) Techniques of a computational model generation
4) Determination of boundary condition and thermophysical properties
5) Analyzes of natural convection, post-processing
6) Working out of semester project
Elearning