Predicting the Surface Topography of Stainless Steel Cut by Fibre Laser via Deep Learning

2022 Conference on Lasers and Electro-Optics (CLEO)(2022)

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摘要
Predicting target material topography resulting from fibre laser cutting is challenging. We show that deep learning offers a data-driven capability for predicting the topography of 2mm thick laser machined stainless steel for different cutting speeds.
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