Laser performance upgrade for precise ICF experiment in SG-Ⅲ laser facility

Zheng, Wanguo; Wei, Xiaofeng; Zhu, Qi; Feng, Jing; D, Hu; Yuan, Xiaodong; Dai, Weizhong; Zhou, Wei; Wang, Fang; Xu, Ding; Xie, Xudong; Feng, Bin; Peng, Zhitao; Guo, Liang; Chen, Yuanbin; Zhang, Xiongjun; Liu, Lanqin; Lin, Donghui; De-you, Zhao; Xiang, Yang; Zhang, Rui; Jia, Huiling; Deng, Xiaotie

doi:10.1016/j.mre.2017.07.004

Cited by 76 publications

(22 citation statements)

References 25 publications

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“…Shen-Guang II Upgrade (NLHPLP) laser facilities The Shen-Guang III laser facility (SG-III) is the largest laser driver for inertial confinement fusion research in China. It has 48 laser beams and can deliver 180 kJ ultraviolet laser energy in 3 ns [99] . Several studies have been performed on EMP characterization on this facility [100][101][102] , focusing on electromagnetic emission properties of hohlraum targets.…”

Section: Emp Experiments On Shen-guang III (Lfrc) Andmentioning

confidence: 99%

Laser produced electromagnetic pulses: generation, detection and mitigation

Consoli

Tikhonchuk

Bardon

et al. 2020

High Pow Laser Sci Eng

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This paper provides an up-to-date review of the problems related to the generation, detection and mitigation of strong electromagnetic pulses created in the interaction of high-power, high-energy laser pulses with different types of solid targets. It includes new experimental data obtained independently at several international laboratories. The mechanisms of electromagnetic field generation are analyzed and considered as a function of the intensity and the spectral range of emissions they produce. The major emphasis is put on the GHz frequency domain, which is the most damaging for electronics and may have important applications. The physics of electromagnetic emissions in other spectral domains, in particular THz and MHz, is also discussed. The theoretical models and numerical simulations are compared with the results of experimental measurements, with special attention to the methodology of measurements and complementary diagnostics. Understanding the underlying physical processes is the basis for developing techniques to mitigate the electromagnetic threat and to harness electromagnetic emissions, which may have promising applications.

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Section: Emp Experiments On Shen-guang III (Lfrc) Andmentioning

confidence: 99%

Laser produced electromagnetic pulses: generation, detection and mitigation

Consoli

Tikhonchuk

Bardon

et al. 2020

High Pow Laser Sci Eng

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“…This is because larger particles have a more challenging time following the background flow, as defined by the Stokes number. Since the maximum H values are in the range of 10 −4 m to 10 −2 m (which is significantly shorter than the optics length) and laser-induced damage on the surface of the optics is rarely at the edge [ 7 ], it suggests that the laminar flow with preset velocities is unlikely to prevent particle invasion.…”

Section: Resultsmentioning

confidence: 99%

“…However, there are substantial challenges that cannot be readily resolved through conventional techniques, for example, high consumptions of (1) optical materials (e.g., fused silica [ 2 ] and KDP [ 3 ]), (2) ancillary energy [ 4 ], and (3) human labor [ 5 ]. Similarly, these consumptions are also mandatory in other national laser facilities, including the Laser Mégajoule facility (LMJ) [ 6 ] and Shenguang (SG) series [ 7 ]. One critical aspect of these consumptions is the usage of ancillary energy, which is mainly required to maintain a high standard of cleanliness in the workspace and on the surface of optical components [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Surface Cleanliness Maintenance with Laminar Flow Based on the Characteristics of Laser-Induced Sputtering Particles in High-Power Laser Systems

Gao

Dong

et al. 2023

Micromachines

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In high-power laser systems, the primary cause of contamination of optical components and degradation of spatial cleanliness is laser-induced sputtering of particles. To mitigate this problem, laminar flow is frequently utilized to control the direction and transport of these particles. This study characterizes the properties of laser-induced sputtering particles, including their flying trend, diameter range, and velocity distribution at varying time intervals. A time-resolved imaging method was employed to damage the rear surface of fused silica using a 355 nm Nd: YAG pump laser. The efficacy of laminar flow in controlling these particles was then assessed, with a particular focus on the influence of laminar flow direction, laminar flow velocity, particle flight height, and particle diameter. Our results indicate that the optimal laminar flow velocity for preventing particle invasion is highly dependent on the maximum particle attenuation distance (or safety distance), which can vary by up to two orders of magnitude. Furthermore, a laminar flow velocity of 0.5 m/s can effectively prevent particle sedimentation. Future research will aim to optimize laminar flow systems based on these findings to achieve high surface cleanliness in high-power laser systems with minimal energy consumption.

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“…The main amplifier is a subsystem in the ICF device that provides the most energy gain and is the subject of this paper. Currently, the F-N equation is applied to characterize the gain process for energy prediction and control in both U.S. and Chinese devices [1][2][3][4] . The F-N equation serves as a simplified physical model for solid-state laser amplifiers, which can characterize the trend of energy amplification.…”

Section: Introductionmentioning

confidence: 99%

Neural network-based energy prediction of high-power laser devices

Zhang¹,

Geng²,

Liu³

et al. 2022

5th Optics Young Scientist Summit (OYSS 2022)

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Tight control of the output energy is required in high-power laser devices. The main amplifier provides the most dominant energy gain, whose output needs to be predicted accurately. However, due to its complex structure and time-varying performance, the prediction results using traditional physical model-fitting methods are biased. In this paper, we propose a physical knowledge-based neural network, with an analytical model as the backbone and multidimensional influencing factors introduced by neural networks as input, to achieve accurate prediction. The method combines the powerful characterization ability of neural networks and the interpretability of physical models, which significantly improves the accuracy by considering the coupling effects of several factors and measurement errors. The relative deviation of the method's prediction results improves 65.9% compared to the traditional physical model and 57.9% compared to the pure neural network. The model provides a correction approach for similar problems of oversimplified physical models and can be exploited to aid model development of other measurable processes in physical science.

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Laser performance upgrade for precise ICF experiment in SG-Ⅲ laser facility

Cited by 76 publications

References 25 publications

Laser produced electromagnetic pulses: generation, detection and mitigation

Laser produced electromagnetic pulses: generation, detection and mitigation

Surface Cleanliness Maintenance with Laminar Flow Based on the Characteristics of Laser-Induced Sputtering Particles in High-Power Laser Systems

Neural network-based energy prediction of high-power laser devices

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