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21–26 Oct 2026
Sheraton Shanghai Jiading Hotel
Asia/Shanghai timezone

Electric Field Gradient Optimization and Multi‑Dimensional Performance Verification of an S‑band 80 MW Klystron Electron Gun Based on NSGA‑II Algorithm

Not scheduled
20m
3rd Floor Hallway

3rd Floor Hallway

Poster Presentation 01: Accelerator Posters

Speaker

宇樱 丁 (高能所)

Description

The operating voltage of high‑power klystron electron guns reaches the hundred‑kilovolt level. High electric‑field gradient inside the gun readily causes vacuum breakdown and other adverse phenomena, which degrade the voltage withstand capability and service life of the device. Taking a high‑efficiency klystron electron gun as the research object, this paper adopts the Non‑dominated Sorting Genetic Algorithm‑II (NSGA‑II) multi‑objective genetic algorithm to collaboratively optimize the geometric dimensions of the focusing electrode for electric‑field gradient suppression. Two optimized configurations with different fillet radii for the focusing electrodes are obtained. Subsequently, steady‑state temperature field, thermal deformation and modal oscillation verification are carried out simultaneously. The eigenmodes of the optimized structure are far away from the operating excitation frequency band, and no risk of self‑excited oscillation exists. This research provides a theoretical basis for the low‑electric‑field structural design of similar high‑power klystron electron guns.

Primary authors

宇樱 丁 (高能所) Zusheng Zhou (IHEP) 欧正 肖 (高能所)

Presentation materials

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