prof. Ing. Václav Píštěk, DrSc.

1. Development of algorithms for solving heat and mass transfer with phase and structural changes using GPU

   The theme is aimed at the development of numerical algorithms designed primarily for solving heat transfer with phase transformations using high parallelization of code. For the solution should fully take advantage of special graphic processor units TESLA. Expected to use MATLAB and C++. Algorithms can be network-oriented methods (eg method of control volumes) or mesh free methods.

   Tutor: Štětina Josef, prof. Ing., Ph.D.

2. Development of the method to determine human comfort based on principles of human exterior thermo-physiological processes.

   Based on detection of a human by external sensors and devices (eg. IR camera, skin temperature and humidity, heart beat etc.) to predict thermal state and comfort of a human. To study impact of ambient environment on perception of thermal comfort and changes in body physiological feelings. To design and propose a combination of sensors/probes that will be able to continuously monitor and analyse thermal comfort of a person.

   Tutor: Jícha Miroslav, prof. Ing., CSc.

3. Dynamic simulation of primary solidification zone in continuous casting of steel

   The goal will be complex 3D model solving the solidification of steel in the mold / mold comprising a heat transfer by conduction, convection and radiation and mass transfer. It is expected recovery software COMSOL Multiphysics and OpenFOAM.

   Tutor: Štětina Josef, prof. Ing., Ph.D.

4. Heat and mass transfer with phase changes modelling using parallelization algorithms

   The theme is aimed at the development of numerical algorithms designed primarily for solving heat transfer with phase transformations using high parallelization of code. For the solution should fully take advantage of special graphic processor units TESLA. Expected to use MATLAB and C++. Algorithms can be network-oriented methods (eg method of control volumes) or mesh free methods. It is believed the use of MATLAB and C ++ language and commercial COMSOL.

   Tutor: Štětina Josef, prof. Ing., Ph.D.

5. New technologies for the controlled heat storage

   The aim is the development and validation of technologies for controlled accumulation of energy storage especially in phase change materials or a combination of multiple technologies. For verification technology to develop mathematical and physical (experimental) models, their results will be used to design and optimize the control algorithms for the management of storages.

   Tutor: Štětina Josef, prof. Ing., Ph.D.

6. Principles of model combination for the prediction of human thermal comfort.

   Different models for the prediction of thermal comfort of a human depend on the environment for which they have been developed and thus are often unreliable. By combining different models and approaches these shortcomings can be eliminated. The goal of the study will be to develop a methodology suitable for the combination of human comfort models.

   Tutor: Jícha Miroslav, prof. Ing., CSc.

7. Smart mobile data acqusition system for environmental engineering

   The theme is aimed at the development of modern measuring system based on hardware and software from National Instrument. In particular, take advantage of a Real-time operating systems and FPGA technology.

   Tutor: Štětina Josef, prof. Ing., Ph.D.

8. Spill-return pressure-swirl atomizers, advanced designs under realistic conditions

   Experimental study of Spill-return pressure-swirl atomizers (SR PSAs) for application in combustion turbines, analysis of SR design on internal flow, spray stability and cone angle , effect of realistic conditions, advanced experiments using HS camera, PIV and doppler based methods, possibly also CFD.

   Tutor: Jedelský Jan, prof. Ing., Ph.D.

9. Time heat balance model of steelworks

   The subject of the development of complex model the whole process the steelworks ie. The electric furnace through the secondary metallurgy to the continuous casting ie. After the material flow. In order to simulate and optimize the process. It is believed the use of software MATLAB / Simulink and SimEvent.

   Tutor: Štětina Josef, prof. Ing., Ph.D.