High Power Laser and Particle Beams, Volume. 34, Issue 4, 045001(2022)

Adaptability analysis and optimization design of modular Marx generator in mechanical environment

Jing Xiao1,2, Haiyang Wang1,2, Linshen Xie1,2, Le Cheng1,2, Chuyu Sun1,2, and Ling Shi1,2
Author Affiliations
  • 1Northwest Institute of Nuclear Technology, Xi’an 710024, China
  • 2State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Xi’an 710024, China
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    To study the adaptability of the modularized Marx generator in mechanical environment, simulation and vibration experiment of the generator are conducted based on the random vibration theory and finite element analysis method. Firstly, the finite element simulation model of an 8-stage Marx generator is established, and the stress concentration positions are identified. Secondly, the finite element model is corrected according to the initial results of shaking table test. Then an optimization scheme is proposed to modify the Marx generator. As a result, the first-order frequency of the Marx generator is increased from 15.4 Hz to 19.7 Hz. It is helpful to reduce the dynamic response in vertical direction and enhance the mechanical environment adaptability. Results show that more attention should be paid to the reliability in vertical direction when a Marx generator is being designed. The connection of the generator is stable in the vibration experiment, and the stresses mainly concentrate on the corner pieces between the generator and the U-shape support plates, the connections between U-shape support plates and side support plates, and the switch junctions, which are the weak points in design.

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    Jing Xiao, Haiyang Wang, Linshen Xie, Le Cheng, Chuyu Sun, Ling Shi. Adaptability analysis and optimization design of modular Marx generator in mechanical environment[J]. High Power Laser and Particle Beams, 2022, 34(4): 045001

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    Paper Information

    Category: Pulsed Power Technology

    Received: Aug. 7, 2021

    Accepted: --

    Published Online: Apr. 12, 2022

    The Author Email:

    DOI:10.11884/HPLPB202234.210344

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