Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2020/2021Specialisation: Automotive and Handling Engineering

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: Accredited 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

  1. Advanced Identification of Vehicle Subsystem Noise and Vibration

    The dissertation aim is research and development of methods for intelligent identification of noise and vibration of vehicle subsystems, powertrains and drivetrains with the subsequent application of the results in industrial applications. Research activities include a development of methods and algorithms, assembling of computational models and the use of these principles for a construction and analyses of the vehicles. The commercial software tools and the user written subroutines in programming languages (Python, Matlab, Fortran or C++) will be used during the study. The results will be verified by the technical experiments on specialized experimental test-stands. A cooperation with the industrial partner and an application of the results of work are expected. The long-term internship abroad at the world's research institutions, participations in international conferences and scientific journals are planned during the study. The study will be supported by an employment contract financially comparable to the industry contracts. More information can be found here: http://www.iae.fme.vutbr.cz/studium-doktorske

    Tutor: Novotný Pavel, doc. Ing., Ph.D.

  2. Cooperation of spark-ignition internal combustion engine with an electric motor

    The target is to optimize the parameters of a spark-ignition internal combustion engine designed for cooperation with an electric motor in a hybrid powertrain of a vehicle. Using simulations in GT-SUITE and Matlab / SIMULINK

    Tutor: Štětina Josef, prof. Ing., Ph.D.

  3. Dynamics of electric motorcycles

    An electric motorcycle is structurally different from a classic motorcycle. The electric drive unit has significantly different characteristics than the internal combustion engine. All this must be taken into account when designing an electric motorcycle. The aim of the work is to use mathematical models and measurements of motorcycle driving dynamics to analyze the behavior of an electric motorcycle and optimize its parameters.

    Tutor: Porteš Petr, doc. Ing., Ph.D.

  4. Flows of non-homogeneous materials in conveying troughs and slip ways

    Laboratory research of flows of non-homogeneous materials inclusive of creation theoretical models with the aim to optimize designs of conveying troughs and slip ways for non-homogeneous materials. Suitable corrections for applying theoretical physical descriptions and empirical descriptions in the technical practice.

    Tutor: Malášek Jiří, doc. Ing., Ph.D.

  5. Flows of non-homogeneous materials out of storage tanks

    Laboratory research of flows of non-homogeneous materials inclusive of creation theoretical models with the aim to optimize designs of bin gates of silos and tanks. Suitable corrections for applying theoretical physical descriptions and empirical descriptions in the technical practice.

    Tutor: Malášek Jiří, doc. Ing., Ph.D.

  6. Model predictive control of hybrid vehicles

    The aim is to develop a non-linear predictive control based on powertrain, driver and driver behaviour in a hybrid car. Using simulations in GT-SUITE and Matlab / SIMULINK.

    Tutor: Štětina Josef, prof. Ing., Ph.D.

  7. Model predictive control of hybrid vehicles

    The aim is to develop a non-linear predictive control based on powertrain, driver and driver behaviour in a hybrid car. Using simulations in GT-SUITE and Matlab / SIMULINK.

    Tutor: Štětina Josef, prof. Ing., Ph.D.

  8. Modelling of Soiling Processes of Turbochargers

    The aim of this dissertation is to describe the soiling processes on stationary machine walls. Activities include research into the physical nature of the soiling process of oil impurities and the development of appropriate methods to describe the physical process. It is expected to use computational fluid dynamics (CFD) in commercial software (ANSYS FLUENT, ANSYS CFX) with subsequent verification using a suitable technical experiment. The verified calculation model will then be applied to a real turbocharger and verified by means of technical experiments on a specialized experimental test stand. The work will be supported by Garrett Advancing Motion. A cooperation with the industrial partner and an application of the results of work are expected. The long-term internship abroad at the world's research institutions, participations in international conferences and scientific journals are planned during the study. The study will be supported by an employment contract financially comparable to the industry contracts. More information can be found here: http://www.iae.fme.vutbr.cz/studium-doktorske

    Tutor: Novotný Pavel, doc. Ing., Ph.D.


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.