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Analysis of the crank mechanism of a two-stroke engine
Matyáš, David ; Píštěk, Václav (referee) ; Svída, David (advisor)
This diploma thesis is a comparison of two versions of the crank mechanism of the Jawa 350 two-stroke engine. The diploma thesis if prefaced by researching the design solutions of multi-cylinder two-stroke engines with examples of their use. The following is a description of the theoretical properties of the two examined crank mechanisms in terms of inertial effects. For both engine concepts, the engine performance characteristics is measured and compared to each other. The engine with modified crankshaft is subjected to a pressure indication, which serves as one of the inputs to the strength analysis of the crankshaft. This is done by a combination of MBS simulation, FEM analysis and calculation of fatigue safety factor by LSA analytic method.
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Detection of traffic signs for autonomous vehicles
Kovaříková, Lucie ; Píštěk, Václav (referee) ; Kučera, Pavel (advisor)
This master's thesis focuses on traffic sign detection for autonomous vehicles using the Python programming language and the YOLOv7 architecture of convolutional neural network. The objective is to conduct research in the field of traffic sign recognition and implement algorithms for camera communication and detection. The results include experimental verification of the detection system and its subsequent evaluation.
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The future of ADAS systems
Benešová, Simona ; Píštěk, Václav (referee) ; Kučera, Pavel (advisor)
This Bachelor´s thesis summarizes information about Advanced Driver Assistance Systems. This thesis deals with the explanation of the function of the systems, the description of the sensors that are used for these assistance systems and distribution of these systems. The thesis describes specific selected systems and their principles. In the conclusion of this thesis is predicted the direction of development of these systems in the future.
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Computational model of the environment of an autonomous vehicle
Doležel, Radek ; Píštěk, Václav (referee) ; Kučera, Pavel (advisor)
The aim of this thesis is to develop a functional computational model for vehicle motion prediction based on a search of sensors and their locations on the vehicle, neural networks for computer vision, datasets for network learning, and programs for creating simulations and virtual environments. The paper describes the process of creating the vehicle virtual environment and simulation. In addition, sensor placement designs including their parameters are developed. Subsequently, the programmed vehicle trajectory prediction algorithm including learning and neural network implementation is presented. Finally, the results of the developed algorithm are presented.
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Valvetrain mechanism of a four-cylinder in-line gasoline aircraft engine
Holeňa, Vít ; Kučera, Pavel (referee) ; Píštěk, Václav (advisor)
This diploma thesis focuses on the analysis and design of a valvetrain for an aircraft piston engine. Using the GT Suite simulation tool, the aim is to construct a dynamic model of the valvetrain, make corresponding calculations as well as some design modifications. The thesis begins with the introduction to aircraft engines and valvetrain in general. In the following chapters, a more detailed introduction to cam profiles as well as related topics is presented. In the practical part of the thesis, an analysis of contemporary design is conducted, followed by a proposed design of new cam profiles. A single-valve model as well as a model containing all valves is presented, taking the gas pressure in the cylinder into consideration. The FEM Ansys Workbench was used for further calculations. The conclusion of the thesis summarizes designed variants, and further possible steps are outlined.
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Spark ignition engine with variable compression ratio
Fűri, Peter ; Píštěk, Václav (referee) ; Kaplan, Zdeněk (advisor)
With the aim of reducing pollutant emissions from internal combustion engines, the application of stoichiometrically operated spark ignition engines, for light vehicles, has been overcoming the compression ignition engines market share throughout the past years. The ability of a substantial reduction of the primary harmful emissions (HC, CO, and NOx). Nonetheless, with increasing attention to CO2 emissions, the development of highly efficient downsized spark ignition engines turns to be of enormous interest. However, to enable high load operation on such downsized engines, the compression ratio must be reduced due to knock limitations, reducing the partial-load operations efficiency. The work tries to describe solutions that have already been developed by various car manufacturers and to describe in detail my proposed design solution for changing the compression ratio using two-stage system.
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Additive technologies in the automotive industry
Beneš, Petr ; Kučera, Pavel (referee) ; Píštěk, Václav (advisor)
The deals of this bachelor's thesis are individual technologies of additive manufacturing and their use in the field of automotive production and development of automotive parts. As part of the work, five specific additive manufacturing methods with the greatest benefit to the automotive industry were selected. The technological procedures were described and characterized their essence, possibilities, pros and cons. The following is a detailed description of how the mentioned technologies are currently used in automotive production. The description is supplemented with examples of specific parts and projects where additive manufacturing was used. In conclusion, the possible future direction of the development of additive technologies is evaluated with the aim of expanding their use in automobile production. The thesis gains information mainly from foreign internet portals publishing articles in the field of the automotive industry or production technologies. The websites of 3D printer manufacturers and companies involved in the commercial use of additive manufacturing were also a quality source of information.
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Neural networks used in autonomous vehicles
Ryšavý, Jan ; Píštěk, Václav (referee) ; Kučera, Pavel (advisor)
This bachelor thesis deals with the use of neural networks in autonomous vehicles. The first part of the thesis presents the basic principles of neural networks and learning methods that are used in autonomous vehicles. Then the thesis describes the architecture and functions of neural networks. The second part of the thesis also describes the different types of autonomous vehicles, their classifications and an overview of the sensors used by autonomous vehicles. The last part of the thesis deals with the implementation of neural networks in ECUs using programming languages and libraries, and applications such as object detection and marker recognition.
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Ecological municipal vehicles
Kilian, Jakub ; Kučera, Pavel (referee) ; Píštěk, Václav (advisor)
Presented thesis deals with a municipal vehicles with environmental-friendly propulsion. The focus was specified to universal implement carriers. The market for these vehicles is currently dynamic and it is not easy to find your way around it. Municipal vehicles are also a good ex-ample for an environmental-friendly propulses implementation. As a part of this study the overview of parameters of ten municipal vehicles offered in Czech Republic was made. These were compared for the purpose of finding the most suitable substitute of currently used vehi-cles. Based on the analyze of municipal companies car fleet were then chosen three vehicles suitable for future environmental-friendly propulsion implementation. For selected vehicle were hereafter considered multiple options of the drivetrain design and the most suitable one was chosen.
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Operation of electric vehicles, hybrid vehicles and vehicles with an internal combustion engine
Herzog, Radim ; Píštěk, Václav (referee) ; Kučera, Ondřej (advisor)
This bachelor's thesis deals with the comparison of different propulsion concepts and their consumption, efficiency, and amount of emissions produced during operation. Although electric vehicles do not produce any local emissions, it is necessary to consider that emissions are generated during the production of electricity in power plants. The main part of the thesis introduces the functional principles of individual propulsion systems. Furthermore, it describes the formation of exhaust gas emissions in combustion engines and outlines their limits. Subsequently, the amount of emissions produced by a power plant for the operation of a specific example of an electric vehicle and a hybrid vehicle is calculated. Finally, a comparison of emissions production from representative examples of each propulsion system is illustrated.
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