The problem of computer modeling and visualization of weak electromagnetic fields is important for research activity, education, biology, medicine and industry. Visualization helps better understanding and clarifying the physical and mathematical models that are used. In medicine low frequency magnetic fields are traditionally used in magnetotherapy, and at the moment computer modeling and visualization give the only practical approach to the studying the influence of magnetic fields on a living organism. In this work we designed and implemented an effective and adequate computer tool both for modeling a magnetic field distribution and the action of the field on charged particles. The tool is designed in the program environment Unity, which allows the combining calculations and visualization, considerable reducing run-Time and the development of a flexible application that may be easily used by both practicians and researchers. The results of experiments are given.

Original languageEnglish
Title of host publicationEPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering
EditorsMihai Gavrilas, Bogdan-Constantin Neagu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-86
Number of pages5
ISBN (Electronic)9781728181264
ISBN (Print)978-1-7281-8127-1
DOIs
StatePublished - 22 Oct 2020
Event11th International Conference and Exposition on Electrical And Power Engineering, EPE 2020 - Iasi, Romania
Duration: 22 Oct 202023 Oct 2020

Publication series

NameEPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering

Conference

Conference11th International Conference and Exposition on Electrical And Power Engineering, EPE 2020
Abbreviated title EPE 2020
Country/TerritoryRomania
CityIasi
Period22/10/2023/10/20

    Research areas

  • magnetic and electric fields, magnetotherapy, charged particles motion, mathematical models

    Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

ID: 71551777