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Lehrstuhl für Photonische Technologien (LPT)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Maschinenbau
Overview
Publications
(902)
Research Grants
(33)
Research Fields
(5)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Additive manufacturing of polyamide 12 bulk structures using directed energy deposition with a thulium laser: Effect of process conditions on morphology and mechanical performance (2024)
Wittmann A, Meth C, Alidoust Chamandani S, Vetter J, Kopp SP, Schmidt M
Journal article
Interlayer-free laser coating of AISI H11 tool steel for H11/Cu composite material (2024)
Vetter J, Hentschel O, Chechik L, Schmidt M
Journal article
Identification of a descriptive beam size metric for complex beam shapes (2024)
Chechik L, Schmidt M
Journal article
Efficient shielding gas supply for laser-based Powder Bed Fusion of metals (PBF-LB/M) (2024)
Medvedev V, Kopp SP, Nahr F, Roth S
Journal article
Characterization of an additively manufactured coating using an upsetting test with miniaturized cylindrical specimen (2024)
März R, Hetz P, Bartels D, Schmidt M, Merklein M
Journal article, Original article
Exploring spatial beam shaping in laser powder bed fusion: High-fidelity simulation and in-situ monitoring (2024)
Bayat M, Rothfelder R, Schwarzkopf K, Zinoviev A, Zinovieva O, Spurk C, Hummel M, et al.
Journal article
Reconstruction of Optical Properties in Turbid Media: Omitting the Need of the Collimated Transmission for an Integrating Sphere Setup (2024)
Ni D, Karmann N, Hohmann M
Journal article
Towards a sensing model using a random laser combined with diffuse reflectance spectroscopy (2024)
Ni D, Klämpfl F, Schmidt M, Hohmann M
Journal article
Additive Manufacturing of Duplex Stainless Steel by DED-LB/M and PBF-LB/M – Process-material-property relationships (2024)
Maier A, Rühr M, Tangermann-Gerk K, Stephan M, Roth S, Schmidt M
Journal article, Original article
Automatic reconstruction and separation of each constituent's absorption and scattering properties using a customized autoencoder neural network (2024)
Ni D, Karmann N, Hohmann M
Conference contribution
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