wbk Jahresbericht 2023 final inkl Inhaltslink - Flipbook - Seite 75
D I S S E R TAT I O N E N
STUDIUM UND LEHRE
Zeitschriftenaufsätze
2023
Al Assadi, A.; Goes, D.; Baazouzi, S.; Staudacher,
M.; Malczyk, P.; Kraus, W.; Nägele, F.; Huber, M.;
Fleischer, J.; Peuker, U.; Birke, K. (2023). Challenges and prospects of automated disassembly of
fuel cells for a circular economy. International
Journal of Sustainable Resource Management
and Environmental Efficiency - Resources, Conservation & Recycling Advances (RCR Advances). Elsevier. doi:10.1016/j.rcradv.2023.200172
Arndt, T.; Sellmeier, V.; Schulze, V. (2023). Model-based tool design for the manufacturing
of hypocycloidal internal profiles by polygon
turning. (V. Schulze & D. Biermann, Hrsg.) 19th
CIRP Conference on Modeling of Machining
Operations Hrsg.: Schulze, Volker; Biermann,
Dirk, 117, 7–12. doi:10.1016/j.procir.2023.03.003
Baranowski, M.; Basalla, F.; Friedmann, M.;
Fleischer, J. (2023). Thermal Analysis of a Novel
Laser Sintering Machine for Additive Manufacturing of Continuous Carbon Fiber Reinforced
Polymer Parts. SSRN Electronic Journal, 39.
doi:10.2139/ssrn.4363904
Baranowski, M.; Basalla, F.; Kößler, F.; Fleischer,
J. (2023). Investigation of the Thermal Characteristics of a Novel Laser Sintering Machine for
Additive Manufacturing of Continuous Carbon
Fibre-Reinforced Polymer Parts. Polymers, 15
(16), Art.-Nr.: 3406. doi:10.3390/polym15163406
Baranowski, M.; Völger, L.; Friedmann, M.; Fleischer, J. (2023). Experimental Analysis and Optimisation of a Novel Laser-Sintering Process for
Additive Manufacturing of Continuous Carbon
Fibre-Reinforced Polymer Parts. Applied Sciences, 13 (9), 5351. doi:10.3390/app13095351
Benfer, M.; Heyer, V.; Brützel, O.; Liebrecht, C.;
Peukert, S.; Lanza, G. (2023). Analysis of metaheuristic optimisation techniques for simulated
matrix production systems. Production Engineering. doi:10.1007/s11740-023-01225-3
Bott, A.; Stöbel, R.; Osen, G.; Fleischer, J. (2023).
Cyber-Physical Test Environment for the Identification of Interacting Wear Effects in Feed
Axes. Journal of Machine Engineering, 23 (1),
123–132. doi:10.36897/jme/162266
Bretz, L.; Koch, D.; Debowski, K.; Höger, K.;
Lanza, G. (2023). Function-oriented defect
assessment in hybrid sheet molding compound tensile specimen using surrogate models. Production Engineering, 17 (2), 223–236.
doi:10.1007/s11740-022-01174-3
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Chen, T.; Sampath, V.; May, M. C.; Shan, S.; Jorg,
O. J.; Aguilar Martín, J. J.; Stamer, F.; Fantoni, G.; Tosello, G.; Calaon, M. (2023). Machine
Learning in Manufacturing towards Industry
4.0: From ‘For Now’ to ‘Four-Know’. Applied
Sciences (Switzerland), 13 (3), Art.-Nr.: 1903.
doi:10.3390/app13031903
Czink, S.; Holoch, J.; Renz, R.; Schulze, V.; Albers, A.; Dietrich, S. (2023). Process-Specific
Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg
Components: Material Characterization and
Evaluation. Processes, 11 (3), 648. doi:10.3390/
pr11030648
Czink, S.; Lubkowitz, V.; Dietrich, S.; Schulze,
V. (2023). Process development for the hybrid
additive manufacturing of metallic structures
on polymer substrates. Additive Manufacturing Letters, Art.-Nr.: 100132. doi:10.1016/j.
addlet.2023.100132
Damon, J.; Schüßler, P.; Mühl, F.; Dietrich, S.;
Schulze, V. (2023). Short-time induction heat
treatment of high speed steel AISI M2: Laboratory proof of concept and application-related component tests. Materials & Design,
230, Artkl.Nr.: 111991. doi:10.1016/j.matdes.2023.111991
Demetgul, M.; Zheng, Q.; Tansel, I. N.; Fleischer, J. (2023). Monitoring the misalignment
of machine tools with autoencoders after they
are trained with transfer learning data. The
International Journal of Advanced Manufacturing Technology, 128, 3357–3373. doi:10.1007/
s00170-023-12060-2
Demetgul, M.; Zihan, M.; Heider, I.; Fleischer, J.
(2023). Misalignment detection on linear feed
axis using sensorless motor current signals. The
International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-023-11258-8
Diaz Ocampo, D.; Koch, J.; González, G.; Zanger,
F.; Heizmann, M. (2023). Enhanced chip analysis
with computed tomography for estimation of
chip segmentation frequency. Production Engineering. doi:10.1007/s11740-023-01200-y
Dvorak, J.; Merforth, M.; Kandler, M.; Clever, F.;
May, M. C.; Lanza, G. (2023). Assessment of the
potential of gamification in manual assembly. 13th Conference on Learning Factories
(CLF 2023) Hrsg.: Hummel, Vera. doi:10.2139/
ssrn.4471436
Fang, Z.; Ren, Z.; Schulze, V., (2); Feng, Y.; Nagata, T.; Furukawa, S.; Tomiyama, K.; Kizaki, T., (2).
(2023). Understanding the gear surface enhancement by hard-hobbing via ferritic-martensitic grain analysis. CIRP Annals. doi:10.1016/j.
cirp.2023.04.007
Institut für Produktionstechnik Jahresbericht 2023
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