Gurantor department | Department of Hydromechanics and Hydraulic Equipment | Credits | 4 |

Subject guarantor | prof. RNDr. Milada Kozubková, CSc. | Subject version guarantor | prof. RNDr. Milada Kozubková, CSc. |

Study level | undergraduate or graduate | ||

Study language | Czech | ||

Year of introduction | 2016/2017 | Year of cancellation | |

Intended for the faculties | USP | Intended for study types | Follow-up Master |

Instruction secured by | |||
---|---|---|---|

Login | Name | Tuitor | Teacher giving lectures |

BLE02 | doc. Ing. Tomáš Blejchař, Ph.D. | ||

BOJ01 | doc. Ing. Marian Bojko, Ph.D. | ||

RAU01 | Ing. Jana Jablonská, Ph.D. | ||

KOZ30 | prof. RNDr. Milada Kozubková, CSc. |

Extent of instruction for forms of study | ||
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Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 2+2 |

Combined | Credit and Examination | 12+5 |

The students are made familiar with the basic terms in the field of modeling the flow of substances and mixtures of substances, including chemical reactions, heat transfer, radiation, as well as the issue of the flow of particulate matter (solid, liquid, gas) in the form of discrete phases. in the application field

Lectures

Tutorials

The course deals with physical significance of turbulence, mathematical models of laminar and turbulent flow with heat transfer, generally compressible gas flow. Software package ANSYS-FLUENT is applied as a tool for the solution of the fluid flow uses the finite volume method. Mathematical model is defined by system of partial differential equations and boundary and initial conditions considering excerpt common fluid boundary condition various temperature boundary conditions on walls, heat transfer and radiation conditions, species conditions. In detail classical turbulence models are defined. Theory is applied in the solution of engineering fluid flow problems, e.g. flow around obstacles, flow with Archimedes forces, natural convection, heat transfer.

ANSYS FLUENT User’s Guide - Release 16.0. 2015. (Dostupné na CD ROM).
INCROPERA, P. F., DEWITT, P. D., BERGMAN, L. T., LAVINE, S. A., Fundamentals of Heat and mass transfer. 997 s. ISBN 978-0-471-45728-2.

NIKOLAY I. KOLEV. Multiphase flow dynamics. 1, Fundamentals / - 2nd ed. Berlin : Springer, c2005 - xxxv, 753 s. : il. + 1 CD-ROM ISBN 3-540-22106-9

individual work of the student on exercises

Students prepare seminar paper. They must obtained the minimum number of points for credit.
Questions:
1. Continuum hypothesis
2. Methods for solution of heat, mass and momentum transfer
3. Properties of solids and liquids
4. Dimensionless criteria
5. Convection
6. Diffusion transfer
7. Balance equations of transfer
8. Boundary conditions
9. Numerical methods of solution, solution of differential equations, finite volume method
10. Creating geometry, grid elements, convergence and residuals, convergence acceleration, relaxation
11. Equations describing heat transfer by conduction, boundary conditions
12. Basic equations of mass, momentum and energy, continuity equation, Navier-Stokes (torque, movement) equation, energy equation
13. Condition of inlet and outlet
14. Solution of conduction and convection in laminar flow
15. Turbulence Reynolds time averaging, k-ε turbulence model
16. Boundary conditions for the k-ε turbulent model, mass flow, turbulent quantities, inlet pressure, outlet pressure, outflow
17. Wall function, more accurate calculation, the influence of grid quality on the choice of wall functions for different models of turbulence, turbulence model choice for accurate calculation
18. Solution of conduction and convection in turbulent flow, heat transfer in turbulent flow around the plate
19. Analysis of heat exchangers, basic types of heat exchangers and their description, thermal power and pressure loss of the exchanger
20. Transport equations for the transfer of gaseous mixtures, physical properties of the gas mixture, water and solid materials

Subject has no prerequisities.

Subject has no co-requisities.

Outline of the course:
1. Introduction, numerical modeling of flow - various commercial systems, Fluent - physical models, turbulence models, methods of solving heat transfer, mass and momentum, commercial systems for the solution of flow, solved examples from the company, department, environmental jobs
2. The continuum hypothesis, the physical properties of solids and fluids, dimensionless criteria
3. Definition of transfer, convection, diffusion, transfer balance equations, boundary conditions
4. Numerical methods, difference methods, geometry creation, grid, convergence, and the residuals.
5. Heat transfer by conduction, boundary conditions, one-dimensional heat conduction, time-dependent solutions.
6. The basic equations of mass transfer of momentum and energy - the continuity equation, Navier-Stokes equations, energy equations, boundary conditions.
7. Solution of conduction and convection in laminar flow, boundary conditions for thin wall with heat transfer in flow around the plate.
8. Turbulent flow, Reynolds equation and continuity equation, k-eps turbulence model,
9. Boundary conditions, wall functions, the influence of network quality on the choice of wall functions, solution of conduction and convection in the turbulent flow around plates
10. Flow around the tube, Fluid flow with heat transfer
11. Flow across a bundle of tubes arranged in a row and a cross
12. Solving the diffusion equation, the spread of gas mixtures, application
13. Definition of porous media, the determination of the constants of the mathematical model, the application
14. The method of dynamic networks and sliding.

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 35 | 25 |

Examination | Examination | 65 | 26 |

Show history

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 35 | 25 |

Examination | Examination | 65 | 26 |

Show history

Academic year | Programme | Field of study | Spec. | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
---|---|---|---|---|---|---|---|---|---|---|---|

2018/2019 | (N2658) Computational Sciences | (2612T078) Computational Sciences | P | Czech | Ostrava | 1 | Choice-compulsory | study plan | |||

2017/2018 | (N2658) Computational Sciences | (2612T078) Computational Sciences | P | Czech | Ostrava | 1 | Choice-compulsory | study plan | |||

2016/2017 | (N2658) Computational Sciences | (2612T078) Computational Sciences | P | Czech | Ostrava | 1 | Choice-compulsory | study plan |

Block name | Academic year | Form of study | Study language | Year | W | S | Type of block | Block owner |
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