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Department Maschinenbau
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Overview
Publications
(7,264)
Research Grants
(2)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Authored book
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Conference contribution
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Standardizing Process Optimization for Production Processes in the Control Cabinet Industry: A Multiple Case Study (2023)
Stoidner M, Bründl P, Nguyen HG, Baechler A, Franke J
Conference contribution
Digitalization and Adoption of Industry 4.0 in Engineer-to-order Small and Medium-sized Manufacturing Companies: An Empirical Analysis (2023)
Bründl P, Stoidner M, Nguyen HG, Baechler A, Franke J
Conference contribution
Coupling Sampling-Based Tolerance-Cost Optimization and Selective Assembly – An Integrated Approach for Optimal Tolerance Allocation (2023)
Roth M, Seitz MJ, Schleich B, Wartzack S
Conference contribution, Conference Contribution
Simulation der Werkzeuglebensdauer bei Ermüdungsversagen (2023)
Killmann M, Merklein M
Conference contribution, Conference Contribution
Laser welding of different pure copper materials under consideration of shielding gas influence and impact on quality relevant surface topographical features (2023)
Will T, Kohl J, Hoelbling C, Mueller L, Schmidt M
Journal article
Development and validation of a digital twin framework for SMT manufacturing (2023)
Seidel R, Rachinger B, Thielen N, Schmidt K, Meier S, Franke J
Journal article
A new micro–macro transition for hyperelastic materials (2023)
Zhan L, Wang S, Qu S, Steinmann P, Xiao R
Journal article
Extension of the spatially adaptive phase-field model to various forms of fracture (2023)
Phansalkar D, Jadhav D, Weinberg K, Ortiz M, Leyendecker S
Journal article
Mechanical behavior of the hippocampus and corpus callosum: An attempt to reconcile ex vivo with in vivo and micro with macro properties (2023)
Bertalan G, Becker J, Tzschätzsch H, Morr A, Herthum H, Shahryari M, Greenhalgh RD, et al.
Journal article
A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning (2023)
Bodendorf F, Sauter M, Franke J
Journal article
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