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Genetic Algorithm-Based Shape Optimization of Modulating Anode for Magnetron Injection Gun With Low Velocity Spread.
- Source :
- IEEE Transactions on Electron Devices; Aug2015, Vol. 62 Issue 8, p2657-2662, 6p
- Publication Year :
- 2015
-
Abstract
- The magnetron injection gun (MIG) is an important component in the gyro-traveling wave tube (gyro-TWT). The electron velocity spread induced to the mismatch of the electric and magnetic fields influences the performance of gyro-TWT. To improve electron beam quality, we designed a modulating anode with curved geometry. And the multi-objective genetic algorithm was employed to optimize the curved geometry. An electron beam with a velocity ratio of 1.05 and low transverse velocity spread of 0.31% in a MIG for a Q-band gyro-TWT is obtained. Compared with the previous design with a transverse velocity spread of 1.17%, the electron beam performance got improved. And the thermal analysis and parametric sensitivity were done. The curved MIG can stably provide an electron beam with a transverse spread lower than 0.8%. [ABSTRACT FROM AUTHOR]
- Subjects :
- ELECTRON beams
GENETIC algorithms
MAGNETRONS
MAGNETIC fields
THERMAL analysis
Subjects
Details
- Language :
- English
- ISSN :
- 00189383
- Volume :
- 62
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Electron Devices
- Publication Type :
- Academic Journal
- Accession number :
- 108535602
- Full Text :
- https://doi.org/10.1109/TED.2015.2443068