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. Martin Hartl, Ph.D.

1. Development of design methodologies for servo drives in hard dynamic applications

   The aim of the dissertation thesis is to develop a methodology for the design of drives used for dynamically demanding applications - for example, drives in machine tools. Dynamically demanding applications include, for example, rapid changes in load, rapid changes in the direction of rotation, etc. These changes have the effect, for example, of limiting the machine's operational properties and of increased mechanical stress, reduced lifetime, etc. In the thesis will be elaborated the methodology of creation of complex finite element models selected types of drives that will allow you to detect engine restrictions, or to modify design procedures.

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

2. Diagnosis of electric drives based on machine learning for the safety aplication

   The use of machine learning is widespread today. One of the major problems in this area is the acquisition of relevant learning data. Actual measurement data is technically possible to replace simulation data to some extent. However, the use of models is complicated by simplifying modeling utilization. The aim of the work is to propose a methodology of utilization of mathematical models of electric drives for machine learning usable in the area of diagnostics. Experimental verification on real drives will also be carried out.

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

3. Machine tool capability prediction in the context of industry 4.0

   The aim of this dissertation is based on the system approach to create a methodology for predicting the capability of a machine tool using the elements of Industry 4.0. The virtual model is supposed to be interactive. On the basis of the selected simulation tools to link real-time data so that the predictive factors of the selected factors influence the capability of the machine tool. The expected output of the thesis is that based on the simulation model applied on Industry 4.0, the predictability of the capability of the physical machine.

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

4. Problems of creation and validation of digital twins of production robotic systems

   The aim is the methodology for creation and validation of digital twins of production robotic systems. The use of a digital twin during the design and operation of a robotized manufacturing system is very broad. In the development phase, it is used for digital commissioning using Software in the loop, Hardware in the loop. In the operational phase, they are used in the maintenance and modification planning process. The main problem is how to create and maintain a valid digital twin.

   Tutor: Knoflíček Radek, doc. Ing., Dr.

5. System approach to ensuring the total safety of operated machines and data protection in the context of Industry 4.0

   A systemic approach to ensuring total safety of machinery, its reliability and quality is a key factor significantly influencing the success or failure of a product on the market. At the same time, it is also very important in terms of human-machine interaction at various stages of its life cycle. The development team must be able to address the total safety of machinery in a timely manner, identify all relevant hazards, analyze them and, in accordance with the requirements of legislative requirements and regulations, design and implement preventive measures to reduce risks to an acceptable level. The topic of the work is part of the research within the project "Manufacturing engineering and precision engineering" CZ.02.1.01 / 0.0 / 0.0 / 16_026 / 0008404 and the aim is to search and design innovative and new methods and methodological procedures for mastering the system approach to ensure overall safety machinery.

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