Design and Process Engineering
· Designing, construction, calculation, technology of manufacturing, technical preparation of manufacturing including assembly and testing,
· Thermal and nuclear power plant devices such as steam and combustion turbines, steam generators, steam power plants and heating plants including nuclear power stations, industrial power engineering and their environmental aspects,
· Water turbines, hydrodynamic and hydrostatic pumps, piping systems, hydroelectric power plants, and pumping stations,
· Machinary and devices for chemical industry, food-stuff industry, and biotechnological treatment lines,
· Construction, modelling and theoretical studies of machines and devices for cutting, forming machines, industrial robots, and manipulators,
· Machine parts and mechanisms, methodology of designing machine elements and working mechanisms of general application with consideration of stochastic qualities of inputs, including the application of special types of machines and devices,
· Cars, vans and lorries, buses, trailers, semi-trailers, and motorcycles,
· Combustion engines for all types of vehicle drives, simulation of combustion engine thermomechanical systems, dynamics of driving gear, engine accessories, ecology,
· Machines and devices for in-plant handling of material and handling between operations, for the mining and transport of building materials, for passenger conveyance in buildings,
· Aerodynamic calculation and designing, flight mechanics, fatigue and durability of aircraft constructions, aeroelasticity of aircraft,
· Quality of machine industry production.

prof. Ing. Václav Píštěk, DrSc.

1. An issue of development of energy-efficient production machines.

   PhD thesis will focus on application of the current scientific knowledge (in the field of energetic evaluation of machinery) in identification of energetic interrelations in production processes and production systems. The thesis will include a proposal of methodology for development of energy-efficient machinery covering both the aspect of effective use of natural resources and decision-making rules for management of the company.

   Tutor: Blecha Petr, doc. Ing., Ph.D., FEng.

2. Application of virtual reality technologies in the process of product quality assurance.

   PhD thesis will focus on analysis of the possible applications of 3D-virtual reality technologies in the field of product quality assurance (esp. production machines) in the early phases of their development. It will include proposal of a methodology for early identification of design and construction shortcomings in pre-production stages of product development. Partial objectives include: - analysis of suitability of 3D virtual reality technology for support of real application in the field of product quality assurance; - performance of pilot analysis of quality in immersion environment of 3D virtual reality in a selected production machine; - elaboration of a methodology for application of virtual reality technology in pre-production stages of the quality assurance process.

   Tutor: Blecha Petr, doc. Ing., Ph.D., FEng.

3. Application of virtual reality technology in assessing the ergonomical parameters of production machines.

   PhD thesis will focus on development of a methodology for application of 3D-virtual reality technologies in verification of ergonomic parameters of production machines, mainly from the viewpoint of their easy operation and maintenance. Attention will be paid especially to verification of reach areas and visual fields of users. Partial objectives include: - analysis of readiness of 3D-virtual reality technology to support real applications in the field of ergonomics; - performance of a pilot ergonomical analysisof a selected production machine in immersion environment of 3D virtual reality; - development of methodology for application of virtual reality technologies in the field of verification of ergonomic parameters of prototypes with the use of 3D models.

   Tutor: Blecha Petr, doc. Ing., Ph.D., FEng.

4. Artificial intelligence in the diagnostics of technological systems

   The subject is focused on the application of artificial intelligence in the diagnostics of the selected technological systems which find their application in mechanical engineering and power engineering. Especially, the application and the use of neural networks, genetic algorithms, fuzzy systems, expert systems, etc. are involved. The detailed theoretical analyses of the specified problems in the diagnostics of electrical rotary machines, transformers, switches, cables, etc. are envisaged. Additionally, attention shall be paid to the development of non-traditional diagnostic procedures and methods in which shall be implemented the above mentioned methods of artificial intelligence.

   Tutor: Hammer Miloš, doc. Ing., CSc.

5. Diagnostics and life of transformers in power engineering

   The subject is focused on the diagnostics and the life of transformers in power engineering applications. The complex summary of knowledge on the diagnostics and the life of the facilities shall be discussed with an emphasis on the diagnostics of oil-paper insulating systems. The detailed information about the transformer life and the specification of new diagnostic procedures for determining the conditions and the life prediction of facilities shall be presented.

   Tutor: Hammer Miloš, doc. Ing., CSc.

6. Fin Ray approach application in production process automation

   Suggested PhD work is aimed to analyze possibilities for Fin Ray approach in production process automation. Main goals but no only are: - Mathematical model creation - Physical model design - Proposed application in production process automation

   Tutor: Simeonov Simeon, doc. Ing., CSc.

7. Heuristics Algorithms for Production Scheduling

   Suggested scientific work is aimed to the field of Heuristics Algorithms for Production Scheduling and their application for manufacturing control. The goal is to design those intelligent algorithms, develop and verify program code. It is necessary to develop the methodology regarding applications of the heuristics algorithms in manufacturing systems. Developing of appropriate SW support is also required.

   Tutor: Simeonov Simeon, doc. Ing., CSc.

8. Intelligent MES

   The goal of suggested scientific work is to develop a methodology and algorithms for intelligent MES for controlling in manufacturing enterprises using simulation methods, artificial intelligence, and heuristic algorithms. Developing of appropriate SW support is also required.

   Tutor: Simeonov Simeon, doc. Ing., CSc.

9. Monitoring and simulation modeling of traction accumulators

   Dissertation thesis will be focused on analysis and optimization of the selected control algorithms of state-of-the-art electrical drives' conception. The computer modeling and simulation technique will be used for defined industrial applications; especially safety critical ones will be accented. High reliability and functionality through various working conditions is also one of the aims. Dissertation thesis decision procedure: - electrical drives for safety critical applications state-of-the-art analysis, - definition of the actual electrical drive requirements for this industrial area, - mathematical modeling of the defined brush less motors - definition of the development cycle according to the Model Based Design approach - implementation and verification of the mathematical model by simulation on the real hardware in the dSPACE system, - new control algorithms development, software for control electronic - control algorithms optimization according to the measured response of a controlled system - new development methodology verification, based on the mathematical modeling with following implementation in the target platform at commercial partner application. The theoretical benefit of the dissertation thesis will be verification of the mathematical modeling methodology (Model Based Design approach) and following control algorithms optimization for the defined electrical drives for critical applications. The practical benefit will be verification of the proposed methods suitability for development lifecycle decreasing. The designed methods should increase reliability and lifetime of the defined electrical drive for safety critical application.

   Tutor: Singule Vladislav, doc. Ing., CSc.

10. New algorithms for APS

    Suggested scientific work is aimed to the field of Advanced Planning and Scheduling Systems and their application for manufacturing control. The goal is to design intelligent algorithms, develop and verify program code. It is necessary to develop the methodology regarding applications of the new algorithms in manufacturing systems. Developing of appropriate SW support is also required.

    Tutor: Simeonov Simeon, doc. Ing., CSc.

11. Off-line diagnostics of transformers in mechanical engineering and power engineering

    The subject is focused on the diagnostics of transformers in mechanical engineering and power engineering applications. Attention is paid to development and verification of the new off-line diagnostic procedures in the monitoring of the conditions and the prediction of transformer life.

    Tutor: Hammer Miloš, doc. Ing., CSc.

12. On-line diagnostics of transformers in mechanical engineering and power engineering

    The subject is focused on the diagnostics of transformers in mechanical engineering and power engineering applications. Attention is paid to development and verification of the new on-line diagnostic procedures in the monitoring of the conditions and the prediction of transformer life.

    Tutor: Hammer Miloš, doc. Ing., CSc.

13. Probability methods of reliability and diagnostics in technological systems

    The subject is concentrated on application of probability methods of reliability and diagnostics of technological systems which find their application in mechanical engineering and power engineering. The detailed theoretical analyses of the specified problems, and additionally the verification of proposed statistical procedures to determine reliability as well as the analyses of condition diagnostics including the life prediction of electrical rotary machines, transformers, switches, cables, etc. are included. The results obtained shall be also use for the life control of the technology monitored.

    Tutor: Hammer Miloš, doc. Ing., CSc.

14. Production Planning and Scheduling Systems Using Theory of Constrain (TOC/OPT)

    Suggested scientific work is aimed to the field Production Planning and Scheduling Systems Using Theory of Constrain (TOC/OPT) and their application for manufacturing control. The goal is to design those algorithms, develop and verify program code. It is necessary to develop the methodology regarding applications of the Theory of Constrain in manufacturing systems. Developing of appropriate SW support is also required.

    Tutor: Simeonov Simeon, doc. Ing., CSc.

15. Simulation modeling and optimization of electric drives for critical application

    Dissertation thesis will be focused on analysis and optimization of the selected control algorithms of state-of-the-art electrical drives' conception. The computer modeling and simulation technique will be used for defined industrial applications; especially safety critical ones will be accented. High reliability and functionality through various working conditions is also one of the aims. Dissertation thesis decision procedure: - electrical drives for safety critical applications state-of-the-art analysis, - definition of the actual electrical drive requirements for this industrial area, - mathematical modeling of the defined brush less motors - definition of the development cycle according to the Model Based Design approach - implementation and verification of the mathematical model by simulation on the real hardware in the dSPACE system, - new control algorithms development, software for control electronic - control algorithms optimization according to the measured response of a controlled system - new development methodology verification, based on the mathematical modeling with following implementation in the target platform at commercial partner application.

    Tutor: Singule Vladislav, doc. Ing., CSc.

16. Simulation modeling and optimization of semi-active and active damping systems

    Dissertation thesis will be focused on analysis, simulation modelling and optimization of the semi-active and active damping systems in mechatronic applications. The damping methods present the interaction of SMART material with excited surroundings. The control of the material surroundings parameter (magnetic and electrical field, temperature etc.) provides change of properties of the damper. Dissipated energy inside damper can be used for energy harvesting. The semi-active damping system with energy harvesting will be analyzed. This system can be used for powering of mechatronic systems. Dissertation thesis decision procedure: - semi-active and active damping systems state-of-the-art analysis, - definition of the actual damping requirements for this mechatronics area, - simulation modelling of the damping systems, - new development of semi-active damper with energy harvesting system, - control development for harvesting of electrical energy, - parameters optimization of developed damping system, - verification of simulation model of developed system.

    Tutor: Singule Vladislav, doc. Ing., CSc.

17. Statistical methods of reliability and diagnostics in technological systems

    This subject is focused on application of statistical methods for reliability and diagnostics of technological systems which find their application in mechanical engineering and power engineering. The detailed theoretical analyses of the specified problems, and additionally the verification of proposed statistical procedures to determine reliability as well as the analyses of condition diagnostics including the life prediction of electrical rotary machines, transformers, switches, cables, etc. are involved. The results obtained shall be also used for the life control of the technology monitored.

    Tutor: Hammer Miloš, doc. Ing., CSc.

18. The issue of ensuring functional safety in relation to the ecodesign of machinery

    Analysis of the state of the art in the field of functional safety of machinery and ecodesign. Design of model of identification of potential hazards state associated with functional safety in relation to the ecodesign of machinery. Preparation of methods of early identification dangerous interactions between the functional safety equipment and ecodesign.

    Tutor: Bradáč František, Ing., Ph.D.

19. 3D image analysis for industrial applications

    Dissertation thesis will be focused on development of methods of 3D image analysis, that can be used in the field of industrial robotics. Main concerns are focused on the following problems: identification and grasping of non-oriented objects from a bin; identification of non-specified defects within plane surfaces and materials etc. Theoretical aspects deal with a survey and study of technological possibilities for acquiring 3D image data and an analysis of algorithms for further processing. This part is necessary to critically analyzed with respect to following aspects: data processing rate, reliability and robustness of proposed algorithms. Another aim is to propose a specific application method. Concerning the implementation aspects, this thesis is dealt with programming in MATLAB environment and software optimization with final output in C++ language.

    Tutor: Singule Vladislav, doc. Ing., CSc.