Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2016/2017Specialisation: 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

Issued topics of Doctoral Study Program

  1. Contribution to the design and optimization of production lines

    The main target is to develop a new approach of designing a new production lines involving a high degree of optimization. The AOE and OEE approaches are used as optimization methods, for already existing production lines (processes) with low optimization degree at the beginning. At the optimization of already existing lines is the output effect of both approaches limited from the base line. To achieve the maximum level of AOE and OEE from the beginning, it is necessary to use a different approach by designing the production lines. To verify the proposed procedure, a sub-objective of the work will be chosen. It will be linked to the proposal of a new production line at the company ABB. Base line will be to increase the efficiency of the new production line by 20% and process permeability by 40% against the existing production line of UniGear. The proposed manufacturing process must absorb different requirements to the equipment of the switchgear and same on seasonal variations.

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

  2. Management and maintenance engineering

    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).

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

  3. Modern approaches in the maintenance sector in the corporate practice

    The topic will be focused on management and engineering of predictive and proactive machine maintenance. Application of the multiparametric diagnostics is assumed for data collection. Attention will also be focused on digitization and automation when designing and implementing the maintenance systems, namely in conformity with the Industrie 4.0. processes.

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

  4. Multi-parameter machine diagnostics

    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).

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

  5. Optimization of material and information flows of production systems using simulation approach

    By using simulation approach, Absolute Operating Efficiency (AOE) and Overall Equipment Efficiency (OEE) create a methodology for optimizing material and information flows of production systems. The proposed methods verify on a production system for material metallize. Perform the optimization taking in mind the problematic of manufacturing scheduling and MES (Manufacturing Execution System).

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

  6. Vibration and related condition monitoring methods of machines and technical devices

    Analysis of possibilities of using modern vibration and other diagnostic methods for creation of a maintenance management system for a selected machine type. The attention will be concentrated mainly on vibrodiagnostics, thermodiagnostics, noise diagnostics and electrodiagnostics, on application of the abovementioned methods to individual machines or their parts and on possibilities of assessment of the obtained results. The PhD thesis will be closely based on INDUSTRY 4.0 (the fourth industrial revolution) requirements.

    Tutor: Jankových Róbert, doc. Ing., CSc.


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.