• Laser and Particle Beams
  • Vol. 2022, Issue 3, 2932175 (2022)
Siyuan Fan1, Hao Wei2, Zhenzhou Gong1, Xu He1, Fengju Sun2, and Aici Qiu1
Author Affiliations
  • 1State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China
  • 2State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Northwest Institute of Nuclear Technology Xi’an 710049 China
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    DOI: 10.1155/2022/2932175 Cite this Article
    Siyuan Fan, Hao Wei, Zhenzhou Gong, Xu He, Fengju Sun, Aici Qiu. Intelligent Optimization of Parameters for Tens of MA-Class Z-Pinch Accelerators[J]. Laser and Particle Beams, 2022, 2022(3): 2932175 Copy Citation Text show less

    Abstract

    In order to minimize the initial energy storage of tens of MA-class Z-pinch accelerators, an intelligent optimization method was developed based on the transmission line code circuit model and PSOGSA algorithm. Using several input parameters, the four overall parameters of the Z-pinch accelerator could be fast determined, including the connection and parallel combination of LTD cavities, the outer radius of the stack-MITL system, and electrical length of monolithic radial transmission lines. The optimization method has been verified by comparing the results with the Z-300 and Z-800 conceptual designs. By means of this intelligent optimization, some factors that affect the initial energy storage on high-current Z-pinch accelerators have been investigated, such as the operating electrical fields, the diameter of the stack-MITL system, and the inner diameter of the LTD cavity. The suggestions for designing relatively low-cost, efficient LTD-based accelerators have been proposed.
    Siyuan Fan, Hao Wei, Zhenzhou Gong, Xu He, Fengju Sun, Aici Qiu. Intelligent Optimization of Parameters for Tens of MA-Class Z-Pinch Accelerators[J]. Laser and Particle Beams, 2022, 2022(3): 2932175
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