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19 September 2018 Research on the cleanliness control of the main magnification system without window glasses
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Abstract
Realizing the main amplification system without window glasses is important for high-power laser devices. Not only optical components and B-integration of the system are reduced, but also the output capability and beam quality of the system are improved. While the primary problem is how to maintain the cleanliness after the window glasses being removed. In response to this problem, this paper proposes a cleanness control scheme suitable for realizing the windowless operation of the main amplification system.Take one main amplification system of a high-power laser device for example, some work are conducted: integrated design of optical pipelines, introduction of air knives, and simulation analysis of airflow field and related parameters. The integrated design of the beam tubes makes the entire main amplification system to maintain a closed environment.The air knife which can generate a high-speed air curtain and block the exchange of airflow, divides the entire system into three parts: main amplifiers, beam tubes, other optical components. For each part, we use in-situ control to achieve cleanliness. To beam tubes and main amplifiers, theoretical analysis and verification of gas flow field characteristics for different process parameters are conducted. For other components, the effectiveness of air knife air curtain protection has also been experimentally studied and analyzed. Finally, it provides important guidance for realizing the remove of the window glasses of the main amplification system.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yangshuai Li, Bingyan Wang, Panzheng Zhang, Zhiyuan Ren, Zhigang Liu, Shenlei Zhou, Weixin Ma, Jian Zhu, and Jianqiang Zhu "Research on the cleanliness control of the main magnification system without window glasses", Proc. SPIE 10748, Systems Contamination: Prediction, Control, and Performance 2018, 107480Y (19 September 2018); https://doi.org/10.1117/12.2320896
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