• DocumentCode
    731205
  • Title

    Numerical study of a 170-GHz, gradient-cavity gyrotron

  • Author

    Liu Ying-hui ; Xu Liangyu ; Niu Xinjian ; Wang Hui ; Li Hong-fu

  • Author_Institution
    Sch. of Phys. Electron., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2015
  • fDate
    24-28 May 2015
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. How to improve the efficiency of the gyrotron is always the focus of attention in studying gyrotron. There are many way to enhance the efficiency of the gyrotron, which are mainly concentrated in two aspects, one is designing the gyrotron with a depressed collector, the another is by changing the cavity structure to improve efficiency. In the paper, we adopt a new cavity structure which can better inhibit mode competition and get higher coupling efficiency, the gyrotron with the new cavity has been optimized and simulated. An output power more than 1.5 MW is obtained at the accelerating beam voltage of 80 kV, the beam current of 45 A, the transverse-to-axial velocity ratio of 1.3, corresponding to the overall efficiency of 47.2%.In order to further verify the new design of tube, the hot cavity should be simulated adequately. Through numerical simulation, we finally determine the working parameters as follows: The accelerating beam voltage of 80 kV, the beam pitch ratio of 1.3, the beam current of 45 A, the efficiency of 47.12%, the power of above 1.5 MW.
  • Keywords
    gyrotrons; accelerating beam voltage; cavity structure; current 45 A; efficiency 47.2 percent; frequency 170 GHz; gradient cavity gyrotron; hot cavity; transverse-to-axial velocity ratio; voltage 80 kV; Acceleration; Cavity resonators; Couplings; Electron tubes; Gyrotrons; Particle beams; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plasma Sciences (ICOPS), 2015 IEEE International Conference on
  • Conference_Location
    Antalya
  • Type

    conf

  • DOI
    10.1109/PLASMA.2015.7179693
  • Filename
    7179693