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Parametric Optimization of Inductively Driven Liner Compression Driver System.

机译:感应驱动缸套压缩驱动器系统的参数优化。

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摘要

The performance of an Inductively Driven Liner Compression (IDLC) driver system for the Fusion Driven Rocket (FDR) application is optimized in this study by performing a parametric analysis of the IDLC driver configurations. The FDR is a novel concept developed by MSNW LLC, which directly converts fusion energy into propulsive energy, where the fusion energy is produced by an inductively driven metal liner compression of a Field Reversed Configuration (FRC) plasmoid. To identify the optimum system configuration for the IDLC driver system for the FDR, a 1D liner code is developed in this study to run different test configuration cases and to identify the optimum system configuration. The results from the 1D liner code is verified against a commercial SPICE circuit solver and a commercial explicit structural dynamics code to verify that the 1D liner code correctly captures the essential liner dynamics for performance tuning. The parametric analysis results from the 1D liner code showed that the IDLC driver system prefers higher voltage to capacitance for a fixed capacitor bank energy. A slightly negative initial seed flux is also seen to improve the liner compression performance. For the optimized design point identified in this study, an energy coupling between the liner kinetic energy and the bank capacitive energy of 69 % is obtained for a fixed capacitor bank energy of 1.8 MJ.
机译:通过对IDLC驱动程序配置进行参数分析,本研究优化了用于Fusion Driven Rocket(FDR)应用程序的感应驱动衬套压缩(IDLC)驱动程序系统的性能。 FDR是由MSNW LLC开发的一种新颖概念,该概念直接将聚变能转换为推进能,其中聚变能是通过场驱动反向配置(FRC)等离子体的感应驱动金属衬套压缩产生的。为了确定用于FDR的IDLC驱动器系统的最佳系统配置,在本研究中开发了1D线性代码来运行不同的测试配置案例并确定最佳系统配置。通过商业SPICE电路求解器和商业显式结构动力学代码对1D线性代码的结果进行了验证,以验证1D线性代码正确捕获了用于性能调整的基本线性动力学。一维线性代码的参数分析结果表明,对于固定的电容器组能量,IDLC驱动器系统更喜欢使用更高的电压而不是电容。还可以看到略微负的初始种子通量可以改善衬里压缩性能。对于本研究中确定的优化设计点,对于1.8 MJ的固定电容器组能量,在衬套动能和69%的电容器组电容性能量之间获得了能量耦合。

著录项

  • 作者

    Shimazu, Akihisa.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Aerospace engineering.;Plasma physics.;Electromagnetics.
  • 学位 Masters
  • 年度 2016
  • 页码 116 p.
  • 总页数 116
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:47:30

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