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为了提高行波管的稳定性和可靠性, 电子注的优化与设计成为真空电子器件中的关键部分, 层流性是评价电子注质量的关键参数. 提出使用K均值聚类算法将电子枪注腰处粒子简化为宏粒子的方法. 将该宏粒子作为行波管互作用区的粒子源进行注波互作用仿真, 使得仿真时间由5.53 h减少为0.65 h, 提高了仿真效率. 通过对某型号行波管的电子枪进行阴极发散角度和阴阳极间距离的调整. 仿真结果表明: 发散角度在0°—1°范围调节时, 发散角度越大, 径向均方根发射度数值也越大, 电子注层流性就越差, 行波管输出功率下降; 阴阳极间距离在0.8—1.6 mm范围内调节时, 径向均方根发射度由2.51 mm·mrad下降为2.22 mm·mrad时, 电子注的层流性得到改善, 空间行波管输出功率由328.34 W上升为414.10 W. 因此, 采用K均值聚类算法的粒子简化模型, 提升了注波互作用仿真效率, 依据电子注层流性对行波管性能的影响可以对电子枪结构参数优化.In order to improve the stability and reliability of the traveling wave tube (TWT), the optimization and design of the electron beam have become a key part in vacuum electronic devices. Laminar properties are a key parameter for evaluating the quality of the electron beam. The transverse displacement of the particles in the laminar electron beam is proportional to the transverse velocity. In the phase space distribution image of non-laminar properties electrons at a certain position, there is no linear relationship between the transverse displacement and the transverse velocity. The energies of particles in the electron beam are different, so the particles have different initial velocities. The particle source at the electron beam waist in the electron gun is used as a particle source for the beam wave interaction simulation. The output characteristics of the TWT more closely resemble the actual ones. A method of simplifying the particles at the electron gun beam waist into macroparticles using the K-means clustering algorithm is proposed. The macroparticle is used as a particle source in the TWT interaction zone for simulating the beam wave interaction, which reduces the simulation time from 5.53 to 0.65 h and improves the simulation efficiency. Compared with the original particle, both the simplified particle generated by the K-means clustering algorithm and the simplified particle generated by the mesh model greatly reduce the computational load of the interaction zone simulation. Compared with the results from the grid model, the simulation results of the beam-wave interaction of macroparticles, obtained by using the K-means clustering algorithm, are closer to those of the beam-wave interaction, obtained by using the original particles. By adjusting the cathode divergence angle and the distance between the anode and cathode of the electron gun of a certain type of TWT, the simulation results show that when the divergence angle is adjusted within a range of 0°—1°, the larger the divergence angle, the larger the radial root mean square emittance value, the worse the laminar properties of the electron beam, and the power of the output signal of the TWT decreases. When the distance between the anode and cathode is adjusted within a range of 0.8–1.6 mm, the radial root mean square emittance decreases from 2.51 to 2.22 mm·mrad, the laminar properties of the electron beam are improved. The output power of the TWT increases from 328.34 to 414.10 W, and the operating frequency bandwidth with an output power greater than 300 W is expanded from 3 to 5 GHz. Therefore, the particle simplification model using the K-means clustering algorithm improves the simulation efficiency of the beam wave interaction. Based on the influence of the laminar properties of the electron beam on the performance of the TWT, the structural parameters of the electron gun can be optimized.
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Keywords:
- traveling wave tube /
- electron beam laminar property /
- K-means clustering algorithm /
- radial rms-emittance
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图 1 层流电子注三种粒子轨道情况以及对应相空间分布图 (a) 平行电子注; (b) 汇聚的电子注; (c) 发散的电子注
Fig. 1. Orbital conditions of three types of laminar electron particles and the corresponding phase space distribution diagrams: (a) Parallel electron beam; (b) convergent electron beam; (c) divergent electron beam.
图 2 非层流电子注粒子轨道情况以及对应相空间分布图
Fig. 2. Orbital conditions of non-laminar electron beam particles and the corresponding phase space distribution diagrams.
图 4 使用K均值聚类算法的仿真流程图
Fig. 4. Simulation properties chart using the K-means clustering algorithm.
图 5 采用K均值聚类算法分析行波管的步骤
Fig. 5. Steps of analyzing the TWT using the K-means clustering algorithm.
图 6 宏粒子个数与行波管输出功率和仿真时间的关系
Fig. 6. Relationship between the number of macro particles and the output power of the TWT as well as the simulation time.
图 7 使用K均值聚类算法和网格模型将电子枪注腰处粒子简化为宏粒子 (a) 使用K均值聚类算法处理截面粒子; (b) 使用K均值聚类算法简化后宏粒子分布; (c) 使用网格模型处理截面粒子; (d) 使用网格模型简化后宏粒子分布
Fig. 7. Particles at the waist of the electron gun are simplified into macroparticles by using the K-means clustering algorithm and the mesh model: (a) The cross-sectional particles are processed by using the K-means clustering algorithm; (b) the distribution of the macro particles after simplification by using the K-means clustering algorithm; (c) the cross-sectional particles are processed by using the mesh model; (d) the distribution of the macro particles after simplification by using the mesh model.
图 8 使用不同输入功率的信号下的输出功率图
Fig. 8. Output power under signals with different input powers.
图 9 实际电子枪的粒子源的发散角度与径向均方根发射度和行波管输出功率的关系
Fig. 9. Relationship of the divergence angle of the particle source of the actual electron gun to the radial rms-emittance and the output power of the TWT.
图 10 阴阳极间距离对粒子的横向和纵向速度的影响
Fig. 10. Influence of the distance between the anode and cathode on the transverse and longitudinal velocities of particles.
图 11 粒子横向速度对行波管输出信号增益的影响
Fig. 11. Influence of the transverse velocity of particles on the output signal gain of the TWT.
图 12 粒子纵向速度对行波管输出信号增益的影响
Fig. 12. Influence of the longitudinal velocity of particles on the output signal gain of the TWT.
图 13 阴阳极间距离变化对电子注径向均方根发射度和行波管输出功率的影响
Fig. 13. Influence of the distance variation between the anode and cathode on the radial rms-emittance of the electron beam and the output power of the TWT.
图 14 阴阳极间距离为0.8和1.6 mm时, 输入信号频率与行波管输出功率的关系
Fig. 14. Relationship between the input signal frequency and the output power of the TWT when the distance between the anode and cathode is 0.8 mm and 1.6 mm respectively.
表 1 螺旋线行波管参数
Table 1. Parameters of helical TWT.
参数名称 参数值 工作电压/V 9600 工作电流/A 0.35 整管长度/mm 241.5 螺旋线螺距/mm 1.1 螺旋线半径/mm 1 螺旋线螺距角/(°) 9.9 磁场峰值/T 0.905 
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