Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2020/2021Specialisation: Process Engineeing

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: 1.1.1999Accredited until: 31.12.2024

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.

Supervisor

Issued topics of Doctoral Study Program

. round (applications submitted from to )

  1. Computational tools for circular economy

    The aim of this doctoral thesis is the development of advanced computational tools for waste management, where the transition from a linear scheme towards the circular economy is supported. It will include a comprehensive design of the computational system for efficient waste management and high recovery rates. Models will be developed based on the combination of theoretical knowledge and industrial and municipal feedback. One of the thesis directions will be the formulation of logistics model for various waste types and transportation systems. The proper software implementation is an essential point of the complex design. Developed models serving as decision-making support tool in waste management, will be demonstrated through real case studies. Results will be presented at national and international conferences and published in peer-reviewed journals. Following issues will be tackled: • Introduction to circular economy and its crucial factors. • Understanding related math knowledge for modeling and the main structure of models. • Design of mathematical model with real situation requirements included. • Proper software implementation. • Interpretation of results.

    Tutor: Pavlas Martin, doc. Ing., Ph.D.

1. round (applications submitted from 15.04.2020 to 31.05.2020)

  1. Development of algorithms for analysis of production and treatment of waste

    The doctoral thesis will be focused on analyses of current waste production and the whole waste management chain. The description of links in waste management is important when creating advanced models of mathematical programming. The core of the doctoral thesis will be the development of algorithms for the reconstruction of network flows. An important factor is the evaluation of the ambiguity of the solution and the design of an approach to identify its impact on waste producers. The special attention will be placed on the proper software implementation and exploitation of available capacities of calculation hardware. Following issues will be tackled: • Introduction to the problems of waste management and its influencing factors. • Extending knowledge of programming techniques and necessary mathematical apparatus. • Development and implementation of algorithms for estimation of current production and treatment of waste. • Analysis of significant factors influencing subjects in waste management and their implementation into mathematical models.

    Tutor: Stehlík Petr, prof. Ing., CSc., dr. h. c.

  2. Recovery of secondary raw materials from industrial waste water

    Globally, 80% of wastewater is released to the environment without adequate treatments. The potential of recovering high-value products from industrial wastewater remains high, although technically challenging. This work is focused on the recovery of secondary raw materials (including water) from liquid industrial waste while simultaneously treating the wastewater. Such valuable products that are recovered from industrial wastes supports the implementation of the circular economy. Furthermore, to ensure the feasibility of the technology, the emphasis is set on energy efficiencies of applied processes. The work has a unique nature of integrated experimental research and model development. The research will include a review of the state-of-the-art in the field of industrial wastewater treatment and secondary raw material recovery. Further identification of significant wastewater producers will be performed and critically studied. The most promising technologies will be selected for a more detailed analysis including experimental verification. Applicants can also expect to physically and theoretically design unique ultra-efficient technology for the recovery of secondary raw materials, including water. Experiments focused on water recycling and recovery of secondary high-value products will be carried out using the equipment at the internationally recognized Laboratory of energy-intensive processes (LENP, see enp.netme.cz/en), NETME centre at Faculty of Mechanical Engineering (FME), Brno University of Technology (BUT). One of the results of the experiments will be the evaluation of the operational parameters of advanced technologies and cutting-edge apparatuses. Furthermore, the result will be a combination of optimal sets of apparatuses together with effective parametric settings for collaborative industrial applications. The applicant will also have a chance to construct advanced technological models and analysis (estimation of investment and operating costs, energy intensity, the yield of secondary raw materials, etc.) with internationally recognized researchers.

    Tutor: Máša Vítězslav, doc. Ing., Ph.D.


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.