Enhancing laser materials processing efficiency: dynamic beam shaping and parallelization strategies

N. Grubert; F. Lange; J. Stollenwerk; C. Holly

doi:10.1117/12.3016608

20 June 2024 Enhancing laser materials processing efficiency: dynamic beam shaping and parallelization strategies

N. Grubert, F. Lange, J. Stollenwerk, C. Holly

Proceedings Volume 13005, Laser + Photonics for Advanced Manufacturing; 1300506 (2024) https://doi.org/10.1117/12.3016608
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Adaptable intensity distributions and parallelization of laser beams are of interest to enhance the processing efficiency for more and more laser applications. The parallelization of laser beams based on beam splitting diffractive optical elements (DOE) and a 2D galvanometer scanner is state of the art. The use of a beam splitting DOE in combination with a 2D galvanometer scanner introduces problems that need to be overcome to achieve a satisfactory result: a scanner-induced distortion of the DOE-generated spot matrix occurs in the working plane and the spot matrix twists as a function of the deflection angle of the scanner mirrors. Common setups employ either static relay lenses for multi-beam systems or additional actuators to increase spot position accuracy. We combine these two approaches in a cascaded optical system using a dynamically rotatable DOE. The achievable accuracy is evaluated with a simulation tool developed specifically for a typical optical configuration for multi-beam laser materials processing. In addition, a first functional prototype with a rotating DOE is demonstrated. The cascaded rotating DOE offers potential for flexible parallel laser processes.

Conference Presentation

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

Citation Download Citation

N. Grubert, F. Lange, J. Stollenwerk, and C. Holly "Enhancing laser materials processing efficiency: dynamic beam shaping and parallelization strategies", Proc. SPIE 13005, Laser + Photonics for Advanced Manufacturing, 1300506 (20 June 2024); https://doi.org/10.1117/12.3016608

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