Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2009/2010Specialisation: Machines and Eqiupments

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: Accredited until: 1.3.2016

Profile

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.

Issued topics of Doctoral Study Program

  1. Life Expectancy and Diagnostics of Transformers for Energy Applications

    The subject is focused on the life expectancy and diagnostics of transformers for energy applications. A complex summary of observations about the diagnostics of such equipment is expected to be presented first. Further emphasis will be placed on the diagnostics of an oil-paper insulation system, particularly on the possibility of determining the degree of transformer ageing by performing an analysis on insulation oil. The above features will be compared with measurements of transformer electrical parameters. The expected outcomes should include obtaining detailed information on the life expectancy of transformers and determining new diagnostic methods that are going to result in an analysis and description of their status and in a prognosis on their further life expectancy.

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

  2. Adaptove Force-Torque Control for Robots for Industrial Applications

    The theme is focused of development F&D dynamic adaptive force-torque control of industrial robots. The output deals with a general system that can be applied on various problems or aspect of engineering manufacturing.

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

  3. Artificial intelligence in the diagnostics of technical systems

    The course is focused on the application of artificial intelligence in the diagnostics of the selected technical systems which find their application in mechanical and power engineering plants. Especially, it is the application of neural networks, genetic algorithms, fuzzy systems, etc. The detailed theoretical analysis of the diagnostics of transformers, electrical rotary machines, switches, cabling, etc. are presented. The technical facilities, especially those operated by ČEZ, a.s. Company, are described. Additionally, attention is focused on the development of non-traditional diagnostic procedures and the methods in which the above mentioned methods of artificial intelligence are implemented.

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

  4. Design diagnostics of CNC Machine Tools

    The target of this doctoral thesis is: - elaboration of the system approach at analysis of preparation and manufacture of special CNC machine tools. The system approach shall determine the method for preparation and manufacture of the future design; - application of the system approach to a particular example of industrial practice; - creation of algorithms which respect as well as influence the process, when searching the reason.

    Tutor: Marek Jiří, prof. Dr. Ing., Ph.D., DBA, FEng.

  5. 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.

  6. 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.

  7. Motion Planning of Cooperating Mobile Robots

    The basic multi-robot motion planning problem is to find a motion plan for all the robots in a group such that each robot reaches its goal without collisions with other robots and with obstacles in the environment. In the coordinated motion planning problem, the robots, besides avoiding collisions, have to cooperate and maintain formation constraints in order to reach required goals. The robots can cooperate e.g. on transportation of some objects or on sweeping a given region. Goals of the thesis: to propose and implement algorithms for motion planning of cooperating mobile robots, and to test these algorithms in both simulated and real environments.

    Tutor: Dvořák Jiří, RNDr., CSc.

  8. 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.

  9. Non-traditional diagnostics of technical systems

    The course is focused on non-traditional diagnostics of the selected technical systems which find their application in mechanical and power engineering operations. The detailed theoretical analysis of the discipline including the description, specification and assessment of reliability and safety of transformers, electrical rotary machines, switches, cabling, etc. are presented. The technical facilities, especially those operated by ČEZ, a.s. Company, are described. Additionally, attention is focused on the development of non-traditional diagnostic procedures and methods including their verification for the systems described above.

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

  10. 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.

  11. Reliability and safety of technical equipment

    The course is focused on the analysis and the description of reliability and safety of the selected technical equipment which finds its application in mechanical and power engineering plants. The detailed theoretical analysis of the discipline including the description, specification and assessment of reliability and safety of transformers, electrical rotary machines, switches, cabling, etc. are presented. The technical facilities, especially those operated by ČEZ, a.s. Company, are described. The results obtained are applied for controlling the life of the technical facilities monitored.

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

  12. Sophisticated approaches in the diagnostics of technical systems

    The course is focused on the modern approaches in the diagnostics of the selected technical systems which find theirs application in mechanical and power engineering plants. Especially, the application of expert systems is described. The technical facilities, especially those operated by ČEZ, a.s. Company, are described in detail. Additionally, attention is focused on the development of non-traditional diagnostic procedures and the methods in which the above mentioned modern approaches are implemented.

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

  13. Utilization of Stochastic and Optimization Methods to Manage a Design and Manufacture of CNC Machine Tools

    Especially if dealing with big and complicated CNC machine tools specified for the sphere of aircraft industry and of transport industry, already in the design phase and in the design review phase it is important to have the clear idea about risk, time and source demands at particular steps during preparation and manufacture, because risk, time and source demands also influence the quality and reliability of the future machine. Moreover, we will speak about risk analysis. The analytic methods applied at the current time are not still established on the mathematic base following from current possibilities of probability, statistic and optimization methods.

    Tutor: Marek Jiří, prof. Dr. Ing., Ph.D., DBA, FEng.

  14. Utilization of virtual reality technology in mechatronic systems of robots

    Goal: Creating a methodics for applications of 3D-virtual reality (3D-VR) in selected spheres of mechatronic systems of autonomous mobile robots (AMR). Contens: - virtual reality technology preparedness analysis for support real application in sphere of AMR platforms for operators and users; - three-dimensional virtual model preparation of selected type of AMR; - pilot 3D-VR analysis of design properties of choices AMR type; - creating a methodics of virtual reality application in selected spheres of AMR designed by 3D modeler and verified by FEM and product presentation.

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


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.