wbk Jahresbericht 2023 final inkl Inhaltslink - Flipbook - Seite 78
INSTITUT
FORSCHUNG
Schäfer, L.; Günther, M.; Martin, A.; Lüpfert, M.;
Mandel, C.; Rapp, S.; Lanza, G.; Anacker, H.; Albers, A.; Köchling, D. (2023). Systematics for an
Integrative Modelling of Product and Production System. 16th CIRP Conference on Intelligent
Computation in Manufacturing Engineering
(CIRP ICME 2023), 118, 104–109. doi:10.1016/j.
procir.2023.06.019
Schäfer, L.; Treml, N.; May, M. C.; Lanza, G.
(2023). Classifying Parts using Feature Extraction and Similarity Assessment. Procedia CIRP,
119, 822–827. doi:10.1016/j.procir.2023.03.127
Schild, L.; Höger, K.; Zanini, F.; Lanza, G.; Carmignato, S. (2023). Case-based reasoning user
support for industrial x-ray computed tomography. Measurement Science and Technology,
34 (4), Article no: 045403. doi:10.1088/13616501/acacba
Schild, L.; Weiser, L.; Höger, K.; Lanza, G. (2023).
Analyzing the error of Computed Tomography-based pore detection by using microscope
images of matched cross-sections. Precision
Engineering, 81, 192–206. doi:10.1016/j.precisioneng.2023.01.013
Schiller, V.; Klaus, S.; Bilen, A.; Lanza, G. (2023).
In-Process Monitoring of Hobbing Process
Using an Acoustic Emission Sensor and Supervised Machine Learning. Algorithms, 16 (4),
Art.-Nr.: 183. doi:10.3390/a16040183
Schlagenhauf, T.; Lin, Y.; Noack, B. (2023). Discriminative feature learning through feature
distance loss. Machine Vision and Applications,
34 (2), Art.-Nr.: 25. doi:10.1007/s00138-02301379-1
Schlagenhauf, T.; Scheurenbrand, T. (2023).
Cross-domain Transfer of Defect Features in
Technical Domains Based on Partial Target
Data. International Journal of Prognostics and
Health Management, 14 (1), 1–13. doi:10.36001/
ijphm.2023.v14i1.3426
Schlagenhauf, T.; Scheurenbrand, T.; Hofmann, D.; Krasnikow, O. (2023). Analysis of
the visually detectable wear progress on ball
screws. CIRP Journal of Manufacturing Science
and Technology, 40, 1–9. doi:10.1016/j.cirpj.2022.10.003
Schmidt, D.; Gartner, P.; Berezkin, I.; Rudat, J.;
Bilger, M.; Grünert, T.; Zimmerer, N.; Quarz, P.;
Scharfer, P.; Brückel, J.; Jung, A. P.; Singh, P.;
Pooja, P.; Meier, B.; Stahlberger, M.; Schabel,
W.; Bräse, S.; Lanza, G.; Nesterov-Mueller, A.
(2023). Selective Peptide Binders to the Perfluorinated Sulfonic Acid Ionomer Nafion. Advanced Functional Materials, Article no: 2214932.
doi:10.1002/adfm.202214932
78
K O O P E R AT I O N E N
Scholz, J.; Dilger, L. J.; Friedmann, M.; Fleischer,
J. (2023). A Methodology for Sustainability
Assessment and Decision Support for Sustainable Handling Systems. 30th CIRP Life Cycle
Engineering Conference Hrsg.: Guo, Yuebin;
Helu, Moneer, 116, 47–52. doi:10.1016/j.procir.2023.02.009
Schüßler, P.; Damon, J.; Mühl, F.; Dietrich, S.;
Schulze, V. (2023). Laser surface hardening: A
simulative study of tempering mechanisms
on hardness and residual stress. Computational Materials Science, 221, Art.-Nr.: 112079.
doi:10.1016/j.commatsci.2023.112079
Schwalm, J.; Mann, F.; González, G.; Zanger,
F.; Schulze, V. (2023). Finite Element Simulation of the process combination Hammering
Turning. 19th CIRP Conference on Modeling of
Machining Operations Hrsg.: Schulze, Volker;
Biermann, Dirk, 117, 110–115. doi:10.1016/j.
procir.2023.03.020
Shi, C.; Nouri, N.; Schulze, V.; Dietrich, S. (2023).
High cycle fatigue behaviour of AISI 4140 steel
manufactured by laser-powder bed fusion. International Journal of Fatigue, 168, Article no:
107469. doi:10.1016/j.ijfatigue.2022.107469
Song, H.; Gi, I.; Ryu, J.; Kwon, Y.; Jeong, J.
(2023). Production Planning Forecasting System
Based on M5P Algorithms and Master Data in
Manufacturing Processes. Applied Sciences, 13
(13), Art.-Nr.: 7829. doi:10.3390/app13137829
Stamer, F.; Fausel, K.; Peukert, S.; Lanza, G.
(2023). Development of a simulative approach in order to estimate the impact of smart
services on a production system – Linking the
influence of smart services to economic potential in production. Production Engineering.
doi:10.1007/s11740-023-01185-8
Stamer, F.; Lanza, G. (2023). Dynamic pricing
of product and delivery time in multi-variant
production using an actor critic reinforcement learning. CIRP Annals. doi:10.1016/j.
cirp.2023.04.019
Ströbel, R.; Probst, Y.; Hutt, L.; Fleischer, J.
(2023). Software-Defined Workpiece Positioning for Resource-Optimized Machine Tool
Utilization. Journal of Machine Engineering, 23
(1), 71–84. doi:10.36897/jme/161660
Wurster, M.; Kille, V.; Binding, M.; Lanza, G.
(2023). Procedure Model for the Closed Loop
Recycling of Electric and Electronic Devices;
[Vorgehensmodell für die Kreislaufführung von
Elektro- und Elektronikaltgeräten]. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 118
(9), 599 – 604. doi:10.1515/zwf-2023-1117
Institut für Produktionstechnik Jahresbericht 2023