26 February 2018 A compact beam diagnostic device for 3D additive manufacturing systems
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Proceedings Volume 10523, Laser 3D Manufacturing V; 1052316 (2018) https://doi.org/10.1117/12.2286838
Event: SPIE LASE, 2018, San Francisco, California, United States
Abstract
With the rapid development of additive manufacturing to an established industrial manufacturing process, arises an increasing demand for process control. Especially industrial sectors with stringent safety regulations like aerospace, automotive or medicine, require a high level of quality monitoring. The limited space and the variety of possible beam incidence angle and position configurations inherent to laser scanning systems, constitute special framework conditions, only inadequately provided by state of the art beam diagnostic devices. To meet these requirements we developed a novel and compact measuring instrument capable of addressing scanner specific measurement tasks, including quantities so far inaccessible to conventional beam diagnostics. These involve for example the examination of the field flatness, pincushion distortion, position dependent focal shift, or accuracy of position and marking speed. Even more sophisticated issues like the accurate stitching of two overlapping exposure schemes are feasible. The working principle is based on a pattern of scattering structures within a glass plate. When scanned across the pattern, a small fraction of the laser beam is scattered and the light is collected with a photo-diode, allowing the reconstruction of the light path and derivation of the beam width. All above mentioned quantities are measured with high resolution and reproducibility. The current state of the experiments is presented, and the prospects of this novel measuring technology for scanner system diagnostics discussed.
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Andreas Koglbauer, Andreas Koglbauer, Stefan Wolf, Stefan Wolf, Otto Märten, Otto Märten, Reinhard Kramer, Reinhard Kramer, } "A compact beam diagnostic device for 3D additive manufacturing systems", Proc. SPIE 10523, Laser 3D Manufacturing V, 1052316 (26 February 2018); doi: 10.1117/12.2286838; https://doi.org/10.1117/12.2286838
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