Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2011/2012Specialisation: 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.

Guarantor

Issued topics of Doctoral Study Program

  1. 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.

  2. Application of Energy Harvesting Technologies in Construction of Production Machines.

    Energy harvesting technology (also known as power harvesting or energy scavenging) is the process by which energy is derived from external sources (e.g., solar power, thermal, potential and kinetic energy) and stored for later use. The PhD thesis will focus on the proposal of application of various (i.e. piezoelectric, pyroelectric, thermoelectric and electrostatic) technologies of energy harvesting in different types of production machines.

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

  3. Application of Energy Harvesting Technologies in Manufacturing Companies

    Energy harvesting technology (also known as power harvesting or energy scavenging) is the process by which electric energy is derived from external sources (e.g., solar power, thermal, potential and kinetic energy) and stored for later use. The PhD thesis will focus on the proposal of application of various (i.e. piezoelectric, pyroelectric, thermoelectric and electrostatic) technologies of energy harvesting in manufacturing companies.

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

  4. 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.

  5. 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.

  6. Approach to Reducing Lead Time in Manufacturing Systems

    Suggested scientific work is aimed to the field of a methodology and new approaching to Reducing Lead Time in manufacturing systems, using simulation methods, reorganizing production, lot-sizing decision, planning and scheduling, TOC/OPT, QRM, etc. Using intelligent algorithms the recommendation for production managers are prepared. The goal is to design the methodology and its integration to control structure of manufacturing systems. Other goals relate to making manager support for useful application of such new approach to industry.

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

  7. 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.

  8. Bionics approach in mechatronics and robotics

    Bionics is the application of biological methods and systems found in nature to the study and design of engineering systems and modern technology. Suggested scientific work is aimed to the field of bionical approaches for robotics and mechatronics applications, specially for chain robots and manipulators, and for submersible and flying robots. The goal is an application of bionics approach for such type of robots, their modeling using special tools(Matlab, Simulink, etc.) and making of functional prototypes.

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

  9. Bionics approach in robotics - chain robots

    Bionics is the application of biological methods and systems found in nature to the study and design of engineering systems and modern technology. Suggested scientific work is aimed to the field of bionical approaches for robotics and mechatronics applications, specially for chain robots and manipulators. The goal is an application of bionics approach for such type of robots, their modeling using special tools(Matlab, Simulink, etc.) and making of functional prototypes.

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

  10. Costs on production of machine tool prototype

    Determination of costs on production of machine tool prototype in phase of technical documentation preparation is problematic are in machine tools production. Especially in the case, that there have been variety of this prototype and has not been product by this company in this configuration. Resolution of this problem will be helpfull by machine tools prototype optimisation.

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

  11. 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

  12. Development of ecological mobile mechanism

    Ph.D. thesis will be fokused on methodological design and placement process in new conception of drives for mobile equipment with regard to status and behaviour prediction during operation.

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

  13. 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.

  14. Drive of linear axes machine tools

    Drives sort selection for linear axes in machine tools is very complex problem. Not always can we use same drives sort for all machine tools types. This selection is depend on machine load and requirements.

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

  15. Environmental, health and safety risks monitoring in hazardous areas

    PhD thesis will focus on analysis of current potentialities in environmental, health and safety risks monitoring in hazardous areas. This research will include development of a methodology for real-time monitoring of selected risks and development of remotely controlled semi-automatic mobile monitoring system. This mobile monitoring system will be able to operate in a known hazardous area.

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

  16. Impact of human factors on production facilities safety

    PhD thesis is focused on development of methodology for evaluating the impact of human factors on safety and production quality of complex production facilities and processes, from the perspective of their safe operation. Attention will be paid especially to ensuring the functional safety of industrial facilities and processes. Partial objectives include: - Identification of hazards arising from the expected behavior of the operators of complex production facilities and manufacturing processes, - Impact analysis of used technology on workplace ergonomics, - Development of methodology for evaluating the impact of human factors on safety of complex production facilities and processes.

    Tutor: Kotek Luboš, Ing., Ph.D.

  17. Increasing the discrimination ability of the type of mass spectrometer MALDI-TOF

    The dissertation is to increase the resolution of the measured data device for mass analysis of MALDI-TOF type (Time Of Flight - Matrix Assisted Laser Desorption / Ionization). The device measures the flight time of particles and their intensity. Particles are emitted from a source and accelerated by high voltage and then flipping the flight tube. To distinguish the measured data parallelism is a critical source of particles, the ion mirror and detector. When using delayed extraction is used to calibrate the mathematical model, which includes accelerating voltage rise time. Given that the motion platform can lead to slight vibrations, which deflect the particles from the source direction parallel to the detector, it is important for the stability of the device structure. Dissertation thesis decision procedure: - Analysis of the current state of measurement with mass spectrometer - Definition of requirements for improving resolution - Determine the impact of thermal expansion for the construction of the spectrometer - Compensation for measurement error based on on-line measurement of the geometry of the plate with samples - Detection of deviations from the vertical direction, solving parallelism of source of particulate with particle detector - Propose a computational method of calibration, which would extend the four-parameter version, so it includes other influences on the resolution of measurement - Use the suggested method of calibration in real measurements and verify its functionality - Vibrodiagnostics of spectrometer construction, the effect of vibration on the spectrometer resolution, design of their compensation for increasing accuracy and resolution in measurements.

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

  18. Methodology of development and validation of software for safety-related components of control systems

    At the present, the requirements on safety of machinery are increasing, especially as regards the reliability of programmable safety-related electronic control systems of these appliances. In development of these safety-related components of control systems it is necessary to pay adequate attention both to the applied hardware and to the methodology of safety-related software development. The basic requirements are set by the harmonized standards of ISO 13849 and ISO 62061 (IEC 61508) series. The PhD thesis will focus on development of methodology for development of software for safety-related components of control systems used for realization of selected safety-related control functions of machinery.

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

  19. 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.

  20. Potential of energy reduction in manufacturing company

    PhD thesis will focus on application of the current scientific knowledge (in the field of resource efficiency) in identification of energetic interrelations in production company. The thesis will include a proposal of methodology for planning and control in company covering both the aspect of effective use of energy resources/consumers and decision-making rules for management of the company.

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

  21. Potential of energy reduction in production process

    PhD thesis will focus on application of the current scientific knowledge (in the field of resource efficiency) in identification of energetic interrelations in production company. The thesis will include a proposal of methodology for production process optimisation covering both the aspect of effective use of energy resources/consumers and decision-making rules for management of the company.

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

  22. 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.

  23. 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.

  24. 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.

  25. Using motion capture technology in virtual assembly tasks

    Disertaion goal: Creating a methodics for applications of Motion Capture technology in selected spheres of mechatronic systems with a focus on virtual assembly lines. Contain of disertation: - Analysis of the preparedness of the Motion Capture technology to support real applications in sensing motion in the assembly operations. - The selection of suitable hardware devices for a specified assembly task. - Creating of suitable supporting algorithms for processing of data. - Verification of proposed systems on a pilot task in the assembling production machines and equipments area.

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


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.