Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Simulation Analysis of the Equipotential Surface of Regular-Shaped Charged Bodies

Authors
Jiahui Chen, Yingqiu Li, Ranran Li, Yi Jin
Corresponding Author
Yi Jin
Available Online August 2019.
DOI
10.2991/msbda-19.2019.9How to use a DOI?
Keywords
Equipotential surface, Regular-shaped charged bodies, Electromagnetics, MATLAB
Abstract

The Potential distribution is an important physical quantity for describing the characteristics of charged objects in electromagnetic field. In order to discuss the characteristics of electric field strength and potential of charged objects more intuitively, the potential generated by various uniformly charged regular objects is calculated analytically, the distribution of equipotential points between two charged objects in three-dimensional space is discussed and the numerical simulation is carried out by using MATLAB.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
978-94-6252-784-3
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.9How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiahui Chen
AU  - Yingqiu Li
AU  - Ranran Li
AU  - Yi Jin
PY  - 2019/08
DA  - 2019/08
TI  - Simulation Analysis of the Equipotential Surface of Regular-Shaped Charged Bodies
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 55
EP  - 59
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.9
DO  - 10.2991/msbda-19.2019.9
ID  - Chen2019/08
ER  -