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Computer-Aided Support for Thermal-Energy Processes

Type of study Bachelor
Language of instruction Czech
Code 635-2059/01
Abbreviation PPTEP
Course title Computer-Aided Support for Thermal-Energy Processes
Credits 4
Coordinating department Department of Thermal Engineering
Course coordinator Ing. Mario Machů, Ph.D.

Subject syllabus

1. Introduction
2. MS Excel: Processing of measured data. Basic statistics: moving average, median, t-test, etc. Filtering data. Approximation of thermophysical properties using regression functions.
3. MS Excel: Use of logical functions in solving convective heat transfer using empirical (correlation) equations.
4. MS Excel: Application of the analytical solution of the one-dimensional steady-state heat conduction equation.
5. MS Excel: Finite difference method. Mesh design, time step selection. Calculations for various boundary conditions. Example application.
6. COMSOL Multiphysics: Heat conduction in fins. Optimization of shape, size, and number of fins.
7. COMSOL Multiphysics: Steady-state heat conduction in planar and cylindrical walls with internal volumetric heat sources.
8. COMSOL Multiphysics: Transient heat conduction in planar and cylindrical walls with internal volumetric heat sources.
9. COMSOL Multiphysics: Numerical determination of view factors in radiative heat transfer problems.
10. COMSOL Multiphysics: Numerical solution of heat conduction with phase change.
11. COMSOL Multiphysics: Numerical simulation of gaseous fuel combustion.
12. COMSOL Multiphysics: Induction heating
13. Examples of applications of other software: ANSYS Fluent, MATLAB, Python.

E-learning

Study supports in the E-learning system.
www.vsb.cz/e-vyuka/cs/subject/635-2059/01

Literature

1. IBARRA, L.F. Simulation and statistics with Excel: an introduction to business students. Boca Raton: CRC Press, Taylor & Francis Group, 2024. ISBN 978-1-032-69876-2.
2. GOUDON, T., BLUM, J.(ed.). Mathematics for modeling and scientific computing. Mathematics and statistics / series editor Jacques Blum. London: ISTE, 2016. ISBN 978-1-84821-988-5.
3. VERSTEEG, H. K. a MALALASEKERA, W. An introduction to computational fluid dynamics: the finite volume method. 2nd ed. Harlow: Pearson Prentice Hall, 2007. ISBN 978-0-13-127498-3.

Advised literature

1. BOHÁČ, Z. Numerical methods and statistics. Ostrava: VŠB – Technical University of Ostrava, 2005. ISBN 80-248-0803-X.
2. JANG, W-J.; CAO, W.; CHUNG, T.-S. a MORRIS, J. Applied numerical methods using MATLAB. Online. [Hoboken]: John Wiley & Sons, Inc., Publication, 2005. ISBN 0-471-70519-5 . Dostupné z: http://dx.doi.org/10.1002/0471705195. [cit. 2025-04-07].
3. PRYOR, R. W. Multiphysics modeling using COMSOL: a first principles approach. CD-ROM. Boston: Jones & Bartlett Publishers, c2011. ISBN 978-0-7637-7999-3.