Design of semiconductor laser beam zooming and shaping system based on aspheric lens group

Rong Li; Haijing Zheng; Huichao Guo; Yingchun Li; Huaili Zhang; Laixian Zhang

doi:10.1117/12.3016482

30 April 2024 Design of semiconductor laser beam zooming and shaping system based on aspheric lens group

Rong Li, Haijing Zheng, Huichao Guo, Yingchun Li, Huaili Zhang, Laixian Zhang

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131560T (2024) https://doi.org/10.1117/12.3016482
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

This paper presents a zooming and shaping system for a semiconductor laser beam based on aspheric lens group. Firstly, a theoretical model for transforming Gaussian beam into flat-top beam is established from Gaussian beam model and flattop beam model. Secondly, using the model and the derived mapping function formula, the shaping system is automatically optimized with optical design software to realize the conversion from Gaussian beam to flat-top beam. Finally, a zooming optical path with aspheric lens group is designed by optical design software to achieve laser beam zooming and shaping, and a surface type equation with machinability is obtained. Research results: The designed optical system forms a relatively uniform spot in far field, such as 500m, and the divergence angle can achieve continuous change of 8-32mrad. The research results have certain reference value and guiding significance for the shaping and homogenization design of semiconductor laser beam.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rong Li, Haijing Zheng, Huichao Guo, Yingchun Li, Huaili Zhang, and Laixian Zhang "Design of semiconductor laser beam zooming and shaping system based on aspheric lens group", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131560T (30 April 2024); https://doi.org/10.1117/12.3016482

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