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近年来, 直接液体冷却薄片激光器因其体积功率比小, 热管理能力强等优势而成为研究热点. 本文建立了一套直接液体冷却薄片激光器波前畸变的分析方法. 应用该方法研究了直接液体冷却薄片激光器中抽运光均匀性对光束波前畸变的影响. 计算分析了均匀性为92%, 80%和70%, 且总的抽运功率不变时, 激光器高阶像差分布情况. 随着均匀性逐渐减弱, 激光器中高阶像差逐渐增强, 低阶像差量基本保持不变. 实验中, 设计加入波导和未加入波导结构, 构建了均匀性为92%和70%的抽运光分布, 分别测量了两种情况下的波前抖动情况以及波前畸变分布, 抽运功率为5 kW时, 测量获得了整个增益模块的光程差高阶分量(OPDH), 其畸变量均方根(RMS)值为0.66 μm和0.79 μm, 实验结果和理论分析结果基本趋势一致.In recent years, the direct-liquid-cooled thin-disk lasers have become ahot research topic due to their advantages of extremely small volume to output power ratio and strong thermal management ability. A method of analyzing the wavefront aberration of the direct-liquid-cooled thin-disk laser is established in this paper. The influence of pumping light uniformity on the wavefront aberration is investigated by this method. The high order aberration distribution of the laser beam is calculated, when the uniformity is 92%, 80% and 70%, respectively. With the decrease of beam uniformity, the higher order aberrationsincrease gradually, while the low order aberrations remain basically unchanged. Experimentally, the pumping beam distributions respectively with uniformity of 92% and 70% are designed with and without using the waveguide structure. The wavefront jitter and wavefront aberration distribution of the whole gain module are measured in these two cases. The pump power is kept at 5 kW. The higher order of optical path difference (OPDH) values of the whole gain module are measured to be 0.66 μm and 0.79 μm, respectively. The experimental results are in agreement with the theoretical analyses.
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Keywords:
- laser /
- direct-liquid-cooled /
- wavefront aberration
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图 1 (a)直接液体冷却薄片激光增益模块系统; (b)增益模块; (c)模拟模型
Fig. 1. (a) Configuration of the direct-liquid-cooled thin disk laser gain module system; (b) the gain module; (c) the schematic of simulation model.
图 2 半块薄片和液体层(图1(c)中)的温度分布
Fig. 2. The temperature distribution in half of the disk and liquid layer (model in Fig. 1 (c)).
图 3 OPD函数分布 (a) 固体; (b) 液体; (c) 固体和液体
Fig. 3. The distribution of wavefront aberration, caused by temperature gradient: (a) Solid; (b) liquid; (c) both solid and liquid.
图 4 (a) 勒让德多项式项数和阶数的对应关系; (b) 勒让德多项式前120项分布
Fig. 4. (a) The correspondence between the orders and items of the Legendre polynomial; (b) the distribution maps of the first 120 terms Legendre polynomial.
图 5 (a) 勒让德多项式系数分布; (b) 残差分布
Fig. 5. (a) Legendre decomposition results for the wavefront; (b) residual distribution.
图 6 构造不同均匀性的抽运光分布 (a) 92%; (b) 80%; (c) 70%
Fig. 6. The distribution of pump beam with different uniformity: (a) 92%; (b) 80%; (c) 70%.
图 7 三种不同均匀性下OPDH的分布 (a) 92%; (b) 80%; (c) 70%
Fig. 7. The distribution of OPDH with different pump uniformity: (a) 92%; (b) 80%; (c) 70%.
图 8 三种不同均匀性下勒让德多项系数分布 (a) 92%; (b) 80%; (c) 70%
Fig. 8. Legendre decomposition results with different pump uniformity: (a) 92%; (b) 80%; (c) 70%.
图 9 OPDL和OPDH的RMS值在抽运功率不变时随着抽运均匀性的变化
Fig. 9. The RMS values of OPDL and OPDH at different pump uniformity but the same absorbed pump power.
图 10 LD抽运光斑分布 (a) 单个LD整列出口; (b) 不加波导时均匀性为70%; (c) 加入波导后均匀性为92%
Fig. 10. The emission beams from the LD stack: (a) At the exit plane by one of the stacks; (b) without using waveguide, the uniformity is just of 70%; (c) by using waveguide with the uniformity of 92%.
图 11 不同均匀性波前RMS随时间变化关系 (a) 70%; (b) 92%
Fig. 11. The wavefront RMS value with two different uniformities: (a) 70%; (b) 92%.
图 12 均匀性70%时随机取得三帧波前畸变OPDH的分布
Fig. 12. The distribution of three frames wavefront aberration OPDH obtained randomly with the uniformities of 70%.
图 13 均匀性92%时随机取得三帧波前畸变OPDH的分布
Fig. 13. The distribution of three frames wavefront aberration OPDH obtained randomly with the uniformities of 92%.
图 14 不同均匀性勒让德多项式系数分布 (a) 70%; (b) 92%
Fig. 14. The distributions of Legendre polynomial coefficients with different uniformities: (a) 70%; (b) 92%.
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[1] Perry M D, Banks P S, Zweiback J, Zweiback J, Schleicher Jr R W US Patent 6937629 [2005-8-30]
[2] https://en.jinzhao.wiki/wiki/High_Energy_Liquid_Laser_Area_Defense_System [2021-9-1]
[3] Fu X, Liu Q, Li P, Huang L, Gong M 2015 Opt. Express 23 18458
Google Scholar
[4] Fu X, Liu Q, Li P, Gong M 2013 Appl. Phys. B 111 517
[5] Fu X, Li P, Liu Q, Gong M 2014 Opt. Express 22 18421
Google Scholar
[6] Ye Z, Liu C, Tu B, Wang K, Gao Q, Tang C, Cai Z 2016 Opt. Express 24 1758
Google Scholar
[7] Li P, Fu X, Liu Q, Gong M 2013 J. Opt. Soc. Am. B 30 2161
Google Scholar
[8] Fu X, Liu Q, Li P, Gong M 2013 J. Optics 15 055704
Google Scholar
[9] Li P, Fu X, Liu Q, Gong M 2015 Appl. Phys. B 119 371
[10] Velghe S, Primot J, Guérineau N, Cohen M, Wattellier B 2005 Opt. Lett. 30 245
Google Scholar
[11] Zou J P, Sautivet A M, Fils J, Martin L, Abdeli K, Sauteret C, Wattellier B 2008 Appl. Opt. 47 704
Google Scholar
[12] Ren Z, Liang X, Yu L, Lu X, Leng Y, Li R, Xu Z 2011 Chin. Phys. Lett. 28 024201
Google Scholar
[13] Wang J R, Min J C, Song Y Z 2006 Appl. Therm. Eng. 26 549
Google Scholar
[14] Illés B, Harsányi G 2009 Appl. Therm. Eng. 29 2166
Google Scholar
[15] Beni S B, Bahrami A, Salimpour M R 2017 Int. J. Heat Mass Transfer 112 689
Google Scholar
[16] Min J, Wang J, Song Y 2007 Heat Transfer Eng. 28 931
Google Scholar
[17] Li P, Liu Q, Fu X, Gong M 2013 Chin. Opt. Lett. 11 041408
Google Scholar
[18] Flath L M, An J R, Brase J M, Hurd R L, Kartz M W, Sawvel R M, Silva D A 2000 Internation. Soc. Optics Photon. 4118 119
[19] Anafi D, Spinhirne J M, Freeman R H, Oughstun K E 1981 Appl. Opt. 20 1926
Google Scholar
[20] Spinhirne J M, Anafi D, Freeman R H 1982 Appl. Opt. 21 3969
Google Scholar
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