Optimization of Fast Axial Flow CO<sub>2</sub> Laser Amplifier Parameters Based on Genetic Algorithm

Table 1. Parameters of the simulation experiment
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Table 1. Parameters of the simulation experiment
$B_{C O_{_{2}}}$
Dissociation
ratio f
Total path
length L /cm
Effective discharge
length l /cm
Gas flow
rate /（m/s）
Ambient temperature T /K R₁reflectivity R₂ reflectivity
0.4 0.1 1800 752 200 300 0.01 0.01

Table 2. Parameters of the amplifier
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Table 2. Parameters of the amplifier
Seed light wavelength /μm Seed light repetition rate /kHz Seed light power /W RF amplitude /% RF duty cycle /%
10.591 20 110 80 75

Table 3. Data used in genetic algorithm
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Table 3. Data used in genetic algorithm
Initial chromosome count Number of genes
Number of bytes
per gene
Select an algorithm
Single point
crossover
Mutation
probability /%
500 3 8 Roulette Random 2

Table 4. Comparison of amplification power before and after optimization
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Table 4. Comparison of amplification power before and after optimization
Process P_CO2 /mbar P_H2 /mbar P_He /mbar Laser power /W
Empirical parameter 4.4 17.6 63 2504
Experimental result 9.7 12.2 58 3422

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Cong You, Wei Huang, Gaojie Lin, Bo Li, Jiang Zhao, Youyou Hu. Optimization of Fast Axial Flow CO₂ Laser Amplifier Parameters Based on Genetic Algorithm[J]. Chinese Journal of Lasers, 2024, 51(7): 0701016

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