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Department Maschinenbau
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Overview
Publications
(7,449)
Research Grants
(432)
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Journal article
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Book chapter / Article in edited volumes
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A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes (2020)
Lipka M, Meinel D, Müller S, Sippel E, Franke J, Vossiek M
Journal article, Review article
A Machine Learning Based Approach to Detect False Calls in SMT Manufacturing (2020)
Thielen N, Werner D, Schmidt K, Seidel R, Reinhardt A, Franke J
Conference contribution
On the influence of TiB2, TiC, and TiN hard particles on the microstructure of localized laser dispersed AISI D2 tool steel surfaces (2020)
Spranger F, Schirdewahn S, Kromm A, Merklein M, Hilgenberg K
Journal article
Production of polymer-metal hybrids using extrusion-based additive manufacturing and electrochemically treated aluminum (2020)
Hertle S, Kleffel T, Wörz A, Drummer D
Journal article
Ultrafast pump-probe ellipsometry and microscopy reveal the surface dynamics of femtosecond laser ablation of aluminium and stainless steel (2020)
Winter J, Rapp S, Spellauge M, Eulenkamp C, Schmidt M, Huber HP
Journal article
Mxene nanosheets as an emerging solid lubricant for machine Elements – Towards increased energy efficiency and service life (2020)
Marian M, Tremmel S, Wartzack S, Song G, Wang B, Yu J, Rosenkranz A
Journal article, Original article
ZnO nanowire-decorated Al2O3hybrids for improving the thermal conductivity of polymer composites (2020)
Liu C, Wu W, Drummer D, Shen W, Wang Y, Schneider K, Tomiak F
Journal article
Shape Optimization of a Backward Extrusion Process Using a Non-Invasive Form Finding Algorithm (2020)
Caspari M, Landkammer P, Steinmann P
Journal article, Review article
Digitale Zwillinge und Digitale Zwillingspaare im Kontext des Digital Engineerings - Mögliche Anwendungen und Herausforderungen (2020)
Miehling J, Schleich B, Wartzack S
Journal article, Original article
Vorhersage der Prozessstabilität mit Maschinellem Lernen - Potenziale Künstlicher Intelligenz zur frühzeitigen Erkennung von Abweichungen bei der pharmazeutischen Abfüllung (2020)
Mühlbauer M, Würschinger H, Hanenkamp N, Schmehling M, Krause B
Journal article, Review article
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