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: 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.

Guarantor

Issued topics of Doctoral Study Program

  1. A new concept of irrigation and water use in the landscape

    The use of water in the landscape has become a major problem of lowland areas in recent years. The problem is not always the lack of water, but especially its capture, storage and subsequent use. The cost of watering for irrigation could be reduced by using modern techniques, multifunctional equipment and installing smart pumps in piping systems. The research and solution would deal with the analysis of the possibilities of existing utility water distribution networks and the design of new variants using modern technologies of water transport and storage.

    Tutor: Fialová Simona, doc. Ing., Ph.D.

  2. A study of the flow of immiscible and multicomponent liquids

    Research of the solutions of the fluid flow of immiscible and multicomponent liquids. From this point of view, the research of liquids composed of two (or more) mutually immiscible components is a new emerging area. These liquids represent new materials, which can be utilized as lubricants, liquid seals or as fluid media in biomechanical devices. The immiscible liquids in question consist of two (or more) liquid and/or solid components (liquid-liquid or liquid-solid phases). The solid phase is represented by the particles dispersed in a carrying fluid. Their interaction with the outer environment is effected by their chemical substance, surface coating, and can be influenced by external fields. The investigation of the problem of immiscible liquids started some years ago and soon it was evident that it will have a great application potential.

    Tutor: Fialová Simona, doc. Ing., Ph.D.

  3. 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, prof. Ing., Ph.D.

  4. Advanced object recognition methods for autonomous vehicles

    The topic deals with the extension of existing methods for object recognition moving around a vehicle. The method will be based on neural networks and will focus on quickly recognizing an object in adverse weather conditions, where this area is still a problem for driving an autonomous vehicle. The system would be built on products designed for this and tested in operation.

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

  5. Consideration of real environment turbulence in vehicle aerodynamics computational simulations

    All development and aerodynamic optimization of passenger cars is carried out in wind tunnels with very low turbulence. Taking into account the nature of the current field from real operating conditions can significantly change the optimized benefit of selected body modifications. The aim of this work is to take into account the turbulence of the real environment in CFD simulations of passenger car aerodynamics. The work may have an overlap with the currently used methods of generating turbulence in wind tunnels.

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

  6. 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.

  7. Development of ventilation turbines - saving in energetics

    Functioning optimization of ventilation devices according to patent applications PV 2014-491 (2014/350),PV 2014-492 (2014/351) a PV 2014-493 (2014/349) to which the Brno University of Technology exercises ownership rights on practical functional prototypes. The aim of working is the experimental design development at application software YADE and SOLIDWORKS, RAPID PROTOTYPING technology and results verification on functional prototypes.

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

  8. Driving dynamics of motorcycles

    The aim of this thesis is to create mathematical models of the motorcycle, which will be used for the analysis of dynamic states based on simulations or measured signals. Next goal is to build a measuring system for sensing driving dynamics of motorcycles.

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

  9. Energy Losses during the Interaction of Bodies through Fluids

    The subject of the dissertation are the energy losses of rotors during movement in viscous fluids (e.g. lube oils). Activities include research into the physical nature of losses during the movement of bodies in fluids under turbulent flow conditions and the development of methods for describing this physical process. The creation of a methodology is assumed, using technical experiments, analytical relationships, or computational fluid dynamics (CFD) software. The methodology will be applied to a turbocharger and subsequently verified by means of technical experiments on a specialized experimental stand. 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.

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

  10. 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.

  11. 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.

  12. Intelligent object distance detection system for autonomous vehicles

    The topic deals with extending existing methods for detecting the distance of an object moving around a vehicle. The method will be based on neural networks, stereo camera or lidar and will focus on quickly determining the distance of the object in adverse weather conditions, where this area is still problematic for driving an autonomous vehicle. The system would be built on products designed for this and tested in operation.

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

  13. Mathematical model of vehicle damper

    The aim is to create a mathematical model of vehicle damper suitable for simulation of vehicle dynamics, with parameters easily identifiable using a damper dynamometer.

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

  14. 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.

  15. 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.

  16. 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, prof. Ing., Ph.D.

  17. NVM Analysis of the Short-Term Processes in Powertrains

    Noise, vibration, and harshness (NVH) is still a current issue in the automotive industry. The growing demands for reduction bring the need to focus on the issue of short-term events, such as shifting.

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

  18. Perspective powertrains for mobile applications

    The topic is based on the strategic intentions of a cooperating important industrial partner in the field of new powertrains and follows up on the tasks solved in the Josef Božek National Competence Center.

    Tutor: Píštěk Václav, prof. Ing., DrSc.

  19. Powertrain dynamics of modern passenger car

    Modern passenger car powertrains integrate optimized internal combustion engines, electric rotary machines and transmissions that interact dynamically. The aim of the work is the methodology of computational modeling of the dynamics of such power units and its experimental verification. The work may also overlap in the area of construction of partial parts of the drive unit.

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

  20. Security risks of smart technologies in transport

    In the last years is special attention focused on the development and application of smart technologies. Smart transport is difficult framework created by different system whose functionality ensures safe and efficient traffic management. However, in this prioritization may occur with respect to the dynamic development of these technologies, even to unconscious understatement potential safety risk which can cause very serious consequences. Is necessary to identify, analyze and evaluate the risk level and in case of necessity to find appropriate measures that will lead to risk minimization.

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

  21. The Effect of Springing and Damping System on Vehicle Dynamics

    The springing and damping system of the vehicle must largely meet contradictory requirements, especially ride comfort, which is evaluated by acceleration of the sprung mass, and driving safety, which is evaluated by minimum variance of the dynamic wheel load and by the ratio of load transfer between axles during cornering. The main aim of the thesis is to create a process of designing vehicle springing damping system using mathematical models to take into account all requirements including subjective evaluation of the driver.

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

  22. Thermal tire models

    The work is focused on mathematical models and measurement methods for prediction of temperature and tire pressure while driving.

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

  23. Vehicle testing and digital twin

    The topic of the thesis is the development of a digital car twin for the development and testing of autonomous vehicles and ADAS systems.

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


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.