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Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2015/2016Specialisation: Machines and Eqiupments
Programme: Machines and Equipment
Length of Study: 4 years
Accredited from: Accredited until: 31.12.2020
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
prof. Ing. Václav Píštěk, DrSc.
Issued topics of Doctoral Study Program
Suggested scientific work is aimed to the field of Fin Ray approach and their application for manufacturing control. The goal is to design robots using Fin Ray approach, develop and verify program code. It is necessary to develop the methodology regarding applications in manufacturing systems. Developing of appropriate SW/HW support is also required.The basic technical principle of the structure with Fin Ray was derived from the natural phenomenon. This functional reversal under lateral force provides the basis of many innovative high-tech solutions that utilize the Fin Ray approach. Each fin ray comprises two fixed struts that are joined at their tips; the struts form an acute triangle. The two pliable flanks are connected by ribs, which hold the flanks apart and allow elastic movement.
Tutor: Simeonov Simeon, doc. Ing., CSc.
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.
The aim of the dissertation thesis is of the design standardization methodologies for developing electromechanical actuator (EMA), deployed in aviation applications, including proposal modularity electrical parts. The proposed procedures will be verified on the development of EMA with a brushless DC motor (EC motor) as an actuator. Part of the thesis will also design HW modular actuator control electronics, at which the proposal is to take into account the condition of maximum modularity of functional units and the use of commercially available components, provided that the same reliability and durability as components commonly used in aviation. The defined requirements according to the standard RTCA DO-160G has to be also respected by HW design. The HW solution will be verified by proposed methods of HALT and AAT tests in order to verify the required lifetime and robustness under the defined extreme operating conditions.
Tutor: Singule Vladislav, doc. Ing., CSc.
The topic is focused on the problems of human factors in reliability (human, machine, technical equipment, working environment) in all phase of the life. The individual parts of the working system and their interaction will be discussed. The factors which create the human performance will be discussed, and additionally, the analysis of failure-free human activity, human failure generation identification and the analysis of human failures will be investigated with a goal to determine the countermeasures. The analysis and the evaluation of the existing approaches are assumed, also the development of procedures and the new methods are discussed which will be verified in the specific cases in the mechanical engineering practice. The PhD thesis will be based consistently on the requirements raised to INDUSTRY 4.0 (the fourth industrial revolution).
Tutor: Hammer Miloš, doc. Ing., CSc.
This work is focused on system analysis of the ram behavior in horizontal boring CNC machines, which will be treated as mechatronic systems. The solution will mainly cover the issues of corrections and compensation of the falling ram using actuators or software compensations. The above points will be incorporated into a draft of the measures and proposal of a systematic approach to selection of the appropriate correction or compensation of the falling ram in horizontal boring machines.
Tutor: Marek Jiří, prof. Dr. Ing., Ph.D., DBA
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.
4th Industrial Revolution – INDUSTRY 4.0 – requires development of innovated machines with integrated multisensor system allowing maximum understanding of the machine´s behaviour and its visualisation in virtual environment. The developed multisensor system includes also logical units collecting and processing data from the sensors and generating output signals for the selected actuators. The system will also include a monitoring interface accessible through internet protocols (Internet of Things) and containing „smart“ applications supporting selected decision-making processes (Cyber Physical Systems). The output of the work will be a platform for intelligent multisensor system applicable in the selected type of a production machine and meeting the requirements set for INDUSTRY 4.0.
Tutor: Blecha Petr, doc. Ing., Ph.D., FEng.
The topic will cover the maintenance organization in company, the methods of planning including scheduling, financing, key performance indicators, value controlled maintenance, management and maintenance benchmarking controlling. Special attention shall be paid to modelling and optimizing the preventive maintenance and to the failure-free maintenance. The existing approaches, procedures and methods will be assessed and compared, and the complete new methods will be submitted which will be verified in the specific cases in the mechanical engineering practice. The PhD thesis will be based consistently on the requirements raised to INDUSTRY 4.0 (the fourth industrial revolution).
Suggested scientific work is aimed to the field of MOLECUBES technology in robotics and their application for manufacturing control. The goal is to design robots using MOLECUBES approach, develop and verify program code. It is necessary to develop the methodology regarding applications in manufacturing systems. Developing of appropriate SW/HW support is also required.Modularization is a basic principle of living nature: organisms consist of molecules and cells that use genetic programming in order to group together to form organs. Cell division and modularization are the two mutually opposed aspects of reproduction in living systems. Researchers around the world are trying to make a modular robot that can change its shape according to the needs at that time such as Molecubes.
The thesis contributes to the topic of utilization of the multi-parameter diagnostics for assessment of condition and state of the chosen machines from industrial practice. The attention will be concentrated mainly on vibrodiagnostics, thermodiagnostics, noise diagnostics and electrodiagnostics, on application of the methods above for individual machines or their parts and on possibilities of assessment of the obtained results. The PhD thesis will be based consistently on the requirements raised to INDUSTRY 4.0 (the fourth industrial revolution).
Balancing on mechanical presses are used to define the clearance and reduce surges in the crank mechanism for setting the tool material. Balancing comprises a balancing cylinder, which are placed in the dispenser device and connected to the slide. By balancing the cylinder is connected circuit control media. By changing the pressure in the circuit controls the force acting against the movement of the ram and the largest is in the bottom dead center position. Currently, the circuit is energized with air. In terms of size vyvažovaných masses at large presses are balancing cylinder air supply robust konsrukce. Using the hydraulic fluid can reduce the size of the cylinders, or using proportional techniques to better manage the process of balancing forces.
Tutor: Kolíbal Zdeněk, prof. Ing., CSc.
The work will focus on the problem of multibody numerical modelling of mechatronic systems. The focal point of the work will be a system proposal of numerical models respecting real marginal conditions describing industrial application of these systems. The work will include also verification of the results of simulations on experimental stands or in selected industrial mechatronical systems.
The aim of this thesis is solve diagnostic problem of functional parts of production machines from the perspective of prediction failures parts of machine or workpiece and detection of things related with inappropriate cutting conditions, deformation of machine or workpiece and climatic conditions. Result of this thesis will be proposal of diagnostic device, which will be able to detect the most of this problems and which will be inform the operator or ideally machine tool. The solution will be implemented in partnership with machine tools producers, research centers Intermac Solutions, s.r.o and NETME.
The work is focused on the analysis of the feasibility of measuring the volumetric accuracy of various types of CNC machine tools (milling machines, boring machines, turning centers ...). It will be necessary to solve the problem of the use of the obtained data for subsequent correction and / or compensation through the machine control system and actuators. The solution will include an analysis of the use of different measuring optical technologies in terms of precision and time-consumption of the measurements. The proposed system approach will include recommendations for action and selecting the appropriate correction or compensation, and measurement technology for various applications on machine tools.
The key element of both INDUSTRY 4.0 and Internet of Things is active monitoring of the systems´ status in real-time regime. Effective intervention into the operation of a production machine with the aim to maintain the required technical parameters (i.e. accuracy, operability, energy consumption) is possible only with access to relevant data and information, obtained by measurements, simulations etc. Due to a significant increase of the volume of the relevant data (big data), the task of formulating the mentioned interventions becomes very difficult. The output of the work will be a knowledge platform supporting the possibilities of the machine´s monitoring (source of data) with the use of the virtual model of the machine (data interpreter). The developed knowledge platform will allow optimal intervention into the operation of the machine.
Analysis of possibilities to use modern methods of surface texture parameters assessment for quality control of technical products. Attention will be focused primarily on finding the possibility of using surface texture parameters for thorough evaluation of the quality of products and processes. The PhD thesis will be based consistently on the requirements raised to INDUSTRY 4.0 (the fourth industrial revolution).
Tutor: Jankových Róbert, doc. Ing., CSc.
4th Industrial Revolution – INDUSTRY 4.0 – requires development of innovated machines with the use of simulation technologies allowing early prediction of machine´s behaviour and its visualisation in virtual environment (immersion as well as augmented). The work will focus on interconnection of the machine control system or its emulator with the virtual model of the machine in the environment of virtual reality. This interconnection will enable us to visualize the expected behaviour of the machine including the results of the selected types of simulations (FEM, MBS, energy consumption…). The system will also include a monitoring interface accessible through internet protocols (Internet of Things) and containing „smart“ applications supporting selected decision-making processes (Cyber Physical Systems). The output of the work will be a platform for visualization system applicable in the selected type of a production machine and meeting the requirements set for INDUSTRY 4.0.
Study plan wasn't generated yet for this year.