Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm

A low-energy dielectric loaded accelerator with a non-uniform, multi-segment structure is studied and optimized. So far, no analytical solution is provided for such structures. Also, due to the existing nonlinear behavior and a large number of geometric parameters, the problem of numerical optimizat...

Full description

Bibliographic Details
Main Authors: M. Nikbakht, H. Afarideh, M. Ghergherehchi
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573322002935
_version_ 1797980758337388544
author M. Nikbakht
H. Afarideh
M. Ghergherehchi
author_facet M. Nikbakht
H. Afarideh
M. Ghergherehchi
author_sort M. Nikbakht
collection DOAJ
description A low-energy dielectric loaded accelerator with a non-uniform, multi-segment structure is studied and optimized. So far, no analytical solution is provided for such structures. Also, due to the existing nonlinear behavior and a large number of geometric parameters, the problem of numerical optimizations is complex. For this reason, a method is presented to design and optimize such structures using the Genetic Algorithm (GA). Moreover, the GA output results are compared with Trust Region (TR) and Nelder-Mead Simplex (NMS) methods. Comparative results show that the GA is more efficient in achieving optimization goals and also has a higher speed than the two other methods. Finally, an optimized accelerating tube is integrated into a proper coupler. Then, the accelerator is simulated for full electromagnetic investigations using the CST suite of codes. This design leads to a structure with a power of about 80 kW in the X-band, which delivers electrons to the output energy in the range of 300–459 kV. The length and outer diameter of the accelerating tube obtained are 10 cm and 1 cm, respectively.
first_indexed 2024-04-11T06:00:00Z
format Article
id doaj.art-9e7f928262234ad987a9e89f8832914b
institution Directory Open Access Journal
issn 1738-5733
language English
last_indexed 2024-04-11T06:00:00Z
publishDate 2022-12-01
publisher Elsevier
record_format Article
series Nuclear Engineering and Technology
spelling doaj.art-9e7f928262234ad987a9e89f8832914b2022-12-22T04:41:47ZengElsevierNuclear Engineering and Technology1738-57332022-12-01541246254635Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithmM. Nikbakht0H. Afarideh1M. Ghergherehchi2Department of Energy Engineering and Physics, Amirkabir University of Technology, 424 Hafez Ave, Tehran, IranDepartment of Energy Engineering and Physics, Amirkabir University of Technology, 424 Hafez Ave, Tehran, Iran; Corresponding author.Department of Electrical & Computer Engineering, Sungkyunkwan University, Suwon, South Korea; Corresponding author.A low-energy dielectric loaded accelerator with a non-uniform, multi-segment structure is studied and optimized. So far, no analytical solution is provided for such structures. Also, due to the existing nonlinear behavior and a large number of geometric parameters, the problem of numerical optimizations is complex. For this reason, a method is presented to design and optimize such structures using the Genetic Algorithm (GA). Moreover, the GA output results are compared with Trust Region (TR) and Nelder-Mead Simplex (NMS) methods. Comparative results show that the GA is more efficient in achieving optimization goals and also has a higher speed than the two other methods. Finally, an optimized accelerating tube is integrated into a proper coupler. Then, the accelerator is simulated for full electromagnetic investigations using the CST suite of codes. This design leads to a structure with a power of about 80 kW in the X-band, which delivers electrons to the output energy in the range of 300–459 kV. The length and outer diameter of the accelerating tube obtained are 10 cm and 1 cm, respectively.http://www.sciencedirect.com/science/article/pii/S1738573322002935Dielectric loaded acceleratorSlow-wave structureGenetic algorithm
spellingShingle M. Nikbakht
H. Afarideh
M. Ghergherehchi
Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
Nuclear Engineering and Technology
Dielectric loaded accelerator
Slow-wave structure
Genetic algorithm
title Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
title_full Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
title_fullStr Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
title_full_unstemmed Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
title_short Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm
title_sort electromagnetic design and optimization of the multi segment dielectric loaded accelerating tube using genetic algorithm
topic Dielectric loaded accelerator
Slow-wave structure
Genetic algorithm
url http://www.sciencedirect.com/science/article/pii/S1738573322002935
work_keys_str_mv AT mnikbakht electromagneticdesignandoptimizationofthemultisegmentdielectricloadedacceleratingtubeusinggeneticalgorithm
AT hafarideh electromagneticdesignandoptimizationofthemultisegmentdielectricloadedacceleratingtubeusinggeneticalgorithm
AT mghergherehchi electromagneticdesignandoptimizationofthemultisegmentdielectricloadedacceleratingtubeusinggeneticalgorithm