Browse > Article
http://dx.doi.org/10.3807/COPP.2022.6.5.479

Numerical Research on Suppression of Thermally Induced Wavefront Distortion of Solid-state Laser Based on Neural Network  

Liu, Hang (Institute of Applied Electronics, China Academy of Engineering Physics)
He, Ping (Institute of Applied Electronics, China Academy of Engineering Physics)
Wang, Juntao (Institute of Applied Electronics, China Academy of Engineering Physics)
Wang, Dan (Institute of Applied Electronics, China Academy of Engineering Physics)
Shang, Jianli (Institute of Applied Electronics, China Academy of Engineering Physics)
Publication Information
Current Optics and Photonics / v.6, no.5, 2022 , pp. 479-488 More about this Journal
Abstract
To account for the internal thermal effects of solid-state lasers, a method using a back propagation (BP) neural network integrated with a particle swarm optimization (PSO) algorithm is developed, which is a new wavefront distortion correction technique. In particular, by using a slab laser model, a series of fiber pumped sources are employed to form a controlled array to pump the gain medium, allowing the internal temperature field of the gain medium to be designed by altering the power of each pump source. Furthermore, the BP artificial neural network is employed to construct a nonlinear mapping relationship between the power matrix of the pump array and the thermally induced wavefront aberration. Lastly, the suppression of thermally induced wavefront distortion can be achieved by changing the power matrix of the pump array and obtaining the optimal pump light intensity distribution combined using the PSO algorithm. The minimal beam quality β can be obtained by optimally distributing the pumping light. Compared with the method of designing uniform pumping light into the gain medium, the theoretically computed single pass beam quality β value is optimized from 5.34 to 1.28. In this numerical analysis, experiments are conducted to validate the relationship between the thermally generated wavefront and certain pumping light distributions.
Keywords
Back propagation neural network; Particle swarm optimization algorithm; Pump array; Wavefront distortion;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Z. Ye, Z. Zhao, S. Pan, X. Zhang, C. Wang, Y. Qi, C. Liu, Z. Xiang, and J. Ge, "Beam Profile evolution and beam quality changes inside a diode-end-pumped laser oscillator," IEEE J. Quantum Electron. 50, 62-67 (2014).   DOI
2 C. Tang, "Review on high brightness high average power solid-state laser technology," Chin. J. Quantum Electron. 22, 488-496 (2005).   DOI
3 Z. Liu, X. Jin, R. Su, P. Ma, and P. Zhou, "Development status of high power fiber lasers and their coherent beam combination," Sci. China Inform. Sci. 62, 41301 (2019).   DOI
4 P. Elahi and S. Morshedi, "Calculation of temperature distribution and thermo-optical effects in double-end-pumped slab laser," J. Eng. Phys. Thermophys. 84, 1224-1230 (2011).   DOI
5 T. Lixin, G. Qingsong, J. Jianfeng, and C. Zhen, "Research of thermal effects compensation of high power diode laser module," High Power Laser Part. Beams 17, 125-128 (2005).
6 T. Chen, Y. Jiang, Y. Wen, G. Jin, S.O. Science, "Research on Double-end-pumped Tm: YAP Slab Laser," J. Changchun Univ. Sci. Technol. (Natural Science Ed.) 42, 29-32 (2019).
7 S. Q. Pan, Z. B. Ye, Z. G. Zhao, C. Liu, J. H. Ge, Z. Xiang, and J. Chen, "Beam quality improvement by thermally induced aberrations in a diode-end-pumped laser amplifier," Laser Phys. 23, 095003 (2013).   DOI
8 X. Yu, L. Dong, B. Lai, P. Yang, Y. Liu, Q. Kong, K. Yang, G. Tang, and B. Xu, "Automatic low-order aberration correction based on geometrical optics for slab lasers," Appl. Opt. 56, 1730-1739 (2017).   DOI
9 M. M. Majidof, H. Latifi, E. Tanhaee, and S. H. Nabavi, "Beam quality improvement in an end-pumped Nd: YAG slab amplifier by the increase of the super-Gaussian order of laser diode beam profile," Opt. Commun. 454, 124388 (2020).   DOI
10 Y.-F. Yan, Y. Yu, S.-P. Bai, X.-L. Ni, H. Zhang, and X. Yu, "Progress on beam quality control technology of slab lasers," Chin. Opt. 12, 767-782 (2019).   DOI
11 S. Yi, "New challenges for high energy laser technology," Physics 40, 107-111 (2011).
12 Y. J. Huang and Y. F. Chen, "High-power diode-end-pumped laser with multi-segmented Nd-doped yttrium vanadate," Opt. Express 21, 16063-16068 (2013).   DOI
13 Q. Gan, B. Jiang, P. Zhang, Y. Jiang, S. Chen, and Z. Long, "Research progress of high average power solid-state lasers," Laser Optoelectron. Prog. 54, 10003 (2017).   DOI
14 S.-S. Schad, V. Kuhn, T. Gottwald, V. Negoita, A. Killi, K. Wallmeroth, "Near fundamental mode high-power thin-disk laser," Proc. SPIE 8959, 89590U (2014).
15 J. Bai and G. Chen, "Continuous-wave diode-laser end-pumped Nd: YVO4/KTP high-power solid-state green laser," Opt. Laser Technol. 34, 333-336 (2002).   DOI
16 W. H. Williams, "Simulations of a phase corrector plate for the National Ignition Facility," Proc. SPIE 3492, 355-362 (1999).
17 M. Kaskow, L. Galecki, W. Zendzian, L. Gorajek, and J. K. Jabczynski, "Side-pumped neodymium laser with self-adaptive, nonreciprocal cavity," Opto-Electron. Rev. 24, 10-14 (2016).   DOI
18 K. S. Shibib, M. A. Munshid, and K. A. Hubiter, "Analytical model of transient thermal effect on convectional cooled end-pumped laser rod," Pramana 81, 603-615 (2013).   DOI
19 Y. Chen, J. Wang, L. Tong, H. Ji, and Q. Gao, "Experiment research on wavefront distortion of high power diode end-pumped slab module," High Power Laser Part. Beams 25, 822-826 (2013).   DOI
20 J. Wang, L. Tong, L. Xu, Z. Wu, M. Li, X. Chen, Y. Chen, D. Wang, T. Zhou, H. Hu, and Q. Gao, "5 kW End-pumped Nd: YAG slab lasers and beam quality improvement," Chin. J. Lasers 45, 101003 (2018).   DOI
21 T. Wenquan, Numerical Heat Transfer, 2nd ed. (Xi'an Jiaotong University Press, China, 2000).
22 T. Chen and S. Zhong, "Privacy-preserving back propagation neural network learning," IEEE Trans. Neural Netw. 20, 1554-1564 (2009).   DOI
23 M. N. Oiik, Heat conduction, 2nd ed. (Wiley, NY, USA, 1993), p. 687.
24 W. Koechner, Solid-State Laser Engineering, 6th ed. (Springer NY, USA, 2006).
25 W. T. Katz, J. W. Snell, and M. B. Merickel, "Artificial neural networks," Meth. Enzymol. 210, 610-636 (1992).   DOI
26 B. Li, Y. Xiao, and L. Wang, "Application of particle swarm optimization in engineering optimization problem," Comput. Eng. Appl. 40, 74-76 (2004).
27 J. Robinson and Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Trans. Antennas Propag. 52, 397-407 (2004).   DOI