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Features of the Software Testing for Numerical Simulation of the Electronic Optical Systems

Authors: Kulikova I.V., Pristupchik N.K. Published: 10.10.2025
Published in issue: #3(152)/2025  
DOI:

 
Category: Informatics, Computer Engineering and Control | Chapter: Mathematical Modelling, Numerical Methods, and Program Complexes  
Keywords: pierce electron gun, vacuum diode current-voltage characteristic, particle-in-cell method, finite volume method, unstructured mesh

Abstract

The paper describes a testing methodology of the new Elisa software designed to simulate the axially symmetric electron guns, it is based on the control volume method on the unstructured meshes and the particle-in-cell method. Methodology consists of two stages. At the first stage, numerical results obtained using the OperaFEA for the planar Pierce electron gun are compared with results of an exact analytical solution to assess the error in the numerical method for solving the trajectory analysis problem implemented in the OperaFEA. At the second stage, numerical results of the trajectory analysis and the current-voltage characteristics obtained for an axially symmetric gun using the EliSa software are compared with the results obtained using the OperaFEA for the same model. This makes it possible to assess the numerical simulation error of an electron beam with the zero phase volume in the EliSa software, since the error determined at the first stage in the OperaFEA is not exceeding 0.5 %. Comparison of the current-voltage characteristics computed using the EliSa software with those computed using the EOS2 software developed in the late 1970s shows that the EliSa software demonstrates an increase in accuracy by more than an order of magnitude

Please cite this article in English as:

Kulikova I.V., Pristupchik N.K. Features of the software testing for numerical simulation of the electronic optical systems. Herald of the Bauman Moscow State Technical University, Series Instrument Engineering, 2025, no. 3 (152), pp. 121--132 (in Russ.). EDN: MIDNCU

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