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Conferences > CLEO_AT > 2022 > AM3I > AM3I.2

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

Alexander F. Courtier, Matt Praeger, James A. Grant-Jacob, Christophe Codemard, Paul Harrison, Ben Mills, and Michalis N. Zervas

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Abstract

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.

© 2022 The Author(s)

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