Laser and Particle Beams, Volume. 2022, Issue 3, 2932175(2022)
Intelligent Optimization of Parameters for Tens of MA-Class Z-Pinch Accelerators
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.
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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
Category: Research Articles
Received: Apr. 22, 2022
Accepted: Jul. 6, 2022
Published Online: Sep. 15, 2022
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