Design of a beam expander with a single aspheric lens

YUAN Wenfeng

doi:10.7510/jgjs.issn.1001-3806.2016.04.022

In order to design a beam expander or beam compressor with a single ellipsoidal lens, the comprehensive learning strategy particle swarm algorithm was introduced. The refraction characteristics of an ellipsoidal surface expressed by the vector form of refraction law was theoretically analyzed. Fitness data formula in the comprehensive learning strategy particle swarm optimizer was gotten. A single ellipsoidal beam-expanding lens with length less than 170mm and shrinkage rate of 14.16 was designed. The process of beam-shrinking or beam-expanding was simulated by using the ray tracing method. Simulation results show that a single ellipsoidal lens can play the role in compressing beam or expanding beam, and the comprehensive learning particle swarm algorithm can be applied to the design of beam expanders/compressors. The results is helpful in simplifying beam expanding/compressing systems and designing a single expanding/compressing beam lens to meet different requirements.

Design of a beam expander with a single aspheric lens

1. School of Sciences, Shandong University of Technology, Zibo 255049, China

Received Date: 2015-04-17

Accepted Date: 2015-08-18

Available Online: 2016-07-25

Abstract: In order to design a beam expander or beam compressor with a single ellipsoidal lens, the comprehensive learning strategy particle swarm algorithm was introduced. The refraction characteristics of an ellipsoidal surface expressed by the vector form of refraction law was theoretically analyzed. Fitness data formula in the comprehensive learning strategy particle swarm optimizer was gotten. A single ellipsoidal beam-expanding lens with length less than 170mm and shrinkage rate of 14.16 was designed. The process of beam-shrinking or beam-expanding was simulated by using the ray tracing method. Simulation results show that a single ellipsoidal lens can play the role in compressing beam or expanding beam, and the comprehensive learning particle swarm algorithm can be applied to the design of beam expanders/compressors. The results is helpful in simplifying beam expanding/compressing systems and designing a single expanding/compressing beam lens to meet different requirements.

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Reference (15)

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Design of a beam expander with a single aspheric lens

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