A new tool based on artificial neural networks to assist in the accurate positioning of the lenses used to collimate the beams emitted by the individual chips forming multi-emitter diode laser modules is presented. Then, a new expression for the evaluation of the obtained beam quality is disclosed and the impact of different choices on the overall module performance in terms of beam quality and coupling efficiency into a collecting fiber is analyzed. Experimental validations with different combinations of lenses are reported to prove the effectiveness of the proposed approach.
Hao Yu, Giammarco Rossi, Andrea Braglia, and Guido Perrone, "Artificial neural network assisted laser chip collimator assembly and impact on multi-emitter module beam parameter product," Proc. SPIE 10085, Components and Packaging for Laser Systems III, 1008508 (Presented at SPIE LASE: January 31, 2017; Published: 22 February 2017); https://doi.org/10.1117/12.2254031.
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