10–13 Sept 2023
Europe/Warsaw timezone

Session

Computational Models of Electrical Systems

11 Sept 2023, 16:00

Conveners

Computational Models of Electrical Systems: Computational Models of Electrical Systems (4)

  • Stanisław Osowski (Warsaw University of Technology)

Computational Models of Electrical Systems: Computational Models of Electrical Systems (2)

  • Oksana Hoholyuk (Lviv Polytechnic National University)

Presentation materials

There are no materials yet.

  1. Prof. Ladislav Janousek (University of Zilina, Department of Electromagnetics and Biomedical Engineering)
    11/09/2023, 16:00
    Computational models of electrical systems
    Presentation at the conference

    This article presents numerical simulations focused on static magnetic fields, employing a Mu-metal cage for shielding against the geomagnetic field. The objective is to verify, how a homogeneous and uniform magnetic field within the magnetic field applicator is created. Square Helmholtz coils are employed to ensure this homogeneity. Observations indicate a 5.3% deviation in the B-field when...

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  2. Václav Kotlan (University of West Bohemia)
    11/09/2023, 16:20
    Computational models of electrical systems
    Presentation at the conference

    The paper presents and discusses an enhanced
    version of modeling laser or small-scale induction hardening.
    The process is characterized by a rapid cooling rate, reaching
    several hundred or over one thousand degrees Celsius per second.
    Most heat from the heated spot is transferred through conduction
    rather than convection, penetrating deep into the material’s
    interior. Consequently,...

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  3. Mariana Beňová (Department of Electromagnetics and Biomedical Engineering FEEIT, University of Zilina)
    11/09/2023, 16:40
    Computational models of electrical systems
    Presentation at the conference

    This study compares two SAR techniques (10g method and 1g method) on a chest model of an adult and a child in the shielded area of a train car compartment to examine the impact of electromagnetic (EM) fields. This study made use of electromagnetic modeling based on the Finite Integration method. The simulations were done for a particular scenario in which each model was positioned as near to...

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  4. Pavel Karban (University of West Bohemia)
    11/09/2023, 17:00
    Industrial applications
    Presentation at the conference

    Measuring the flow of carbonated drinks is not completely resolved. Carbonated drinks are liquids of an inho- mogeneous type. Individual drinks differ in many parameters (e.g. conductivity, pH, color, etc.) and any change in temperature or pressure affects these parameters. The article describes the design and optimization of the magnetic circuit of an induction flow meter for measuring...

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  5. Roman Romaniuk (Lviv Polytechnic National University)
    13/09/2023, 11:10
    Computational models of electrical systems
    Online presentation

    Abstract— the frequency symbolic method (FS method) of steady-state analysis of linear periodically time-variable (LPTV) circuits is used to form their transfer functions in the frequency domain. A Fourier polynomial approximates the transfer function and contains the complex variable, the time variable, and the parameters of the circle elements in the form of symbols. The coefficients of such...

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  6. Jan Sroka (Warsaw University of Technology)
    13/09/2023, 11:30
    Computational models of electrical systems
    Presentation at the conference

    The article presents an analysis of the possibility of taking into account the correction factor for the measured values of the current pulse. For this purpose, the article presents the results of tests using various types of Pearson coils. The features of such a correction factor, method, and scope of application are defined. The obtained results are the basis for further research in order to...

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  7. Oksana Hoholyuk (Lviv Polytechnic National University)
    Computational models of electrical systems
    Presentation at the conference

    The paper considers the stochastic optimization method, which can be used for dynamic processes modeling in complex electrical systems, which are described by input- output models. As the main method, Rastrygin's guide cone method is considered. Limitations for this method are formulated for the practical usage when solving applied optimization problems. In order to improve the method,...

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