Development of an Evolutionary Algorithm for Design of Electron Guns for Material Processing

Colin Ribton, Wamadeva Balachandran

2015

Abstract

The design of high quality electron generators is important for a variety of applications including materials processing systems (including welding, cutting and additive manufacture), X-ray tubes for medical, scientific and industrial applications, microscopy, and lithography for integrated circuit manufacture. The many variants of electron gun required, and the increasing demands for highly optimised beam qualities, demands more systematic optimisation methods than offered by trial and error design approaches. This article describes the development of evolutionary algorithms to enable the automatic optimisation of the design of vacuum electron guns. The gun design usually is required to meet specified beam requirements for the applications of interest, so within this work, beam characteristics from the calculated electron trajectories, for example brightness, intensity at focus and beam angle, were derived and used as a measure of the design fitness-for-purpose. Evolutionary parameters were assessed against the efficiency and efficacy of the optimisation process using an analogous design problem. This novel approach offers great potential for producing the next generation of electron guns.

Paper Citation

in Harvard Style

Ribton C. and Balachandran W. (2015). Development of an Evolutionary Algorithm for Design of Electron Guns for Material Processing . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 138-148. DOI: 10.5220/0005586201380148

in Bibtex Style

@conference{ecta15,
author={Colin Ribton and Wamadeva Balachandran},
title={Development of an Evolutionary Algorithm for Design of Electron Guns for Material Processing},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={138-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005586201380148},
isbn={978-989-758-157-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Development of an Evolutionary Algorithm for Design of Electron Guns for Material Processing
SN - 978-989-758-157-1
AU - Ribton C.
AU - Balachandran W.
PY - 2015
SP - 138
EP - 148
DO - 10.5220/0005586201380148