|
|
Design of the portable veterinary X-ray machine
Kalenský, Ondřej ; Surman, Martin (referee) ; Škaroupka, David (advisor)
This diploma thesis is focused on the design of a product family of portable veterinary x-ray generators. The thesis deals with the possibilities of using parameterization when designing products which are part of a product series. The main body of the thesis lies in the design of a parametric script which generates variations of portable veterinary x-ray generators depending on the size and position of the inner components. The outer surfaces are defined by algorithms from the input parameters. It is possible to alter the individual attributes (e.g. the progresion of curves, the dimensions of component parts and the proportions between the individual parts). The output from the parametric script is three size-variations of the product.
|
|
|
Design of a porcelain set for additive manufacturing
Vítek, Jan ; Haltof, Vladimír (referee) ; Škaroupka, David (advisor)
This bachelor thesis deals with the design of a set of porcelain coffee cups. The principles of parameterization are used in the design, as well as an innovative way of creating decor using generative algorithms. The thesis examines the possibility of using additive technologies in the production of porcelain products, both in the production of molds and in the direct production by SLA technology. It also includes the development of material for 3D printing from porcelain and finding suitable process parameters for printing.
|
|
|
Design of the hammer set
Král, Ondřej ; Haltof, Vladimír (referee) ; Škaroupka, David (advisor)
This bachelor’s thesis is focused on the design of a product family of hammers by the means of generative design. The core of this thesis is the creation of an algorithm which will generate hammers of unified visual style, but varying properties based on input parameters. It is necessary that these hammers are in shape, ergonomics and dimensions adequate to preferences of the target group of professional workers and that they are producible in series and from commonly used materials. The output is a set of three hammers with different mass and dimensional properties.
|
|
|
Vamp Plugin for Sonic Visualiser
Pilát, Peter ; Zvončák, Vojtěch (referee) ; Kiska, Tomáš (advisor)
In my Bachelor Thesis, I devote myself to obtaining information from music, the way it can be obtained, the aspect of musical information, and the use of the methods themselves. Then I analyze content-oriented music management methods and also include parameterisation of music recordings and audio signal overall. After familiarizing with the specific parameterization tools to implement the Vamp plugin, which are Sonic Visualiser and Sonic Anotator, I characterize the Vamp Plugin and explain in detail its composition. As explained in the manuals and the calculations in progress, the RMS calculation function of the given signal with the possibility of segmentation functions as well as the function of displaying the sound rate or possible changes in the track temperature. Last but not least, we mention the possible use of these supplements in the future and in different sectors.
|
|
| |
|
|
Sports car rear wing numerical optimization
Feldová, Petra ; Rudolf, Pavel (referee) ; Štefan, David (advisor)
This master’s thesis is focused on optimization of rear wing of sport car by using open-source software. The optimization of 2D profile of the rear wing is present in this thesis. Python environment was chosen for optimization and evolutionary algorithm was is used as optimization function. This algorithm is further connected to Xfoil software, which is computing aerodynamic characteristic. The ratio of the lift and drag coefficients (C_L/C_D) is chosen as parameter which considers the aerodynamic efficiency. The CFD computation of flowing around the whole car is provided in open-source software OpenFOAM. . The profile optimization results to approximately 7.9 % raise of the parameter C_L/C_D, in the same wing stability. The main benefit of this work is to use open-source software for the optimization and CFD analysis, which in future might save company’s resources by not buying expensive commercial software licenses.
|
|
|
Design of the parametric model of the furnace carriage
Baláž, František ; Valena, Martin (referee) ; Košťál, David (advisor)
This bachelor thesis deals with the creation of an algorithmic model of a cart into the furnace using Inventor software. The emphasis is mainly on the speed and simplicity of editing. The adjustment is based on the change of parameters that resulted from the assignment. Thanks to this work, the editing speed will be accelerated several times. The results can help other companies to implement parameterization in practice and subsequently accelerate production.
|
|
|
Aerodynamics Parametric Shape Aircraft Optimization
Dofek, Ivan ; Salga, Jaroslav (referee) ; Brož,, Václav (referee) ; Fiľakovský, Karol (advisor)
The work deals with the use of geometric parameterization for shape description of some parts of the airplane. Geometric parametrization is used for creating a parametric model airfoil. This parametric model allows local deformations pobrchu profile and can easily be applied to generate the geometry of the wing or other parts letoumu. Some properties of the parametric model were tested applications in aerodynamic optimization. Furthermore, the work deals with the parametric description of the blades, the aerodynamic optimization and noise analysis. For propeller blade were created distribution function of the control parameters that can be used in aerodynamic optimization of the blades. Geometric parameterization is used for identifying the location and other characteristics of noise sources.
|
|
|
Musical instruments recognition from audio records using Music information retrieval techniques
Kárník, Radoslav ; Mucha, Ján (referee) ; Kiska, Tomáš (advisor)
This paper discusses design and implementation of classifying system for recognition of musical instruments from audio records with use of Musical Information Retrieval techniques. In the first part, paper describes parameters used for instrument classification, calculation of said parameters from records and reduction of feature vector. Next part is devoted to tuning and implementation of various classifiers with focus on neural networks. These classifiers ar further tested on records from IRMAS dataset wchich contain 11 musical instruments playing solo or with other instruments. Results of classifiers tested on different parameters and different numbers of instruments are discussed in the last part.
|
|
| |
guest ::
