Latest Publications
Optimizing Learning Pathways for Digital Twin Education in Manufacturing Systems
Rechkemmer, D.; Korth, M.; Behrendt, S.; May, M. C.; Benfer, M.; Lanza, G.
2026. Advancing Learning Factories: Enabling Future-Ready Skills – Proceedings of the 15th Conference on Learning Factories 2025, Volume 1. Ed.: L. Louw, I. de Kock, K. von Leipzig, 62–69, Springer Nature Switzerland. doi:10.1007/978-3-031-98880-6_8
Rechkemmer, D.; Korth, M.; Behrendt, S.; May, M. C.; Benfer, M.; Lanza, G.
2026. Advancing Learning Factories: Enabling Future-Ready Skills – Proceedings of the 15th Conference on Learning Factories 2025, Volume 1. Ed.: L. Louw, I. de Kock, K. von Leipzig, 62–69, Springer Nature Switzerland. doi:10.1007/978-3-031-98880-6_8
Conference on Circular Production Systems and Technologies (CCPT) 2026 - Book of Abstracts
Grauberger, P.; Zanger, F.; Lanza, G. (Eds.)
2026
Grauberger, P.; Zanger, F.; Lanza, G. (Eds.)
2026
Closing the loop: A software-defined approach to agile production planning and control
Behrendt, S.; Enke, C.; Rüdt, M.; Bussmann, M.; Tutsch, H.; Spieckermann, S.; Lanza, G.
2026. Journal of Manufacturing Systems, 86, 1007–1021. doi:10.1016/j.jmsy.2026.03.025
Behrendt, S.; Enke, C.; Rüdt, M.; Bussmann, M.; Tutsch, H.; Spieckermann, S.; Lanza, G.
2026. Journal of Manufacturing Systems, 86, 1007–1021. doi:10.1016/j.jmsy.2026.03.025
Optimizing PCBA e-waste management: Intelligent inspection sequencing and recovery strategies using graph neural networks and Reinforcement Learning
Stamer, F.; Lanza, G.; Puttero, S.; Galetto, M.
2026. Journal of Manufacturing Systems, 86, 264–276. doi:10.1016/j.jmsy.2026.03.009
Stamer, F.; Lanza, G.; Puttero, S.; Galetto, M.
2026. Journal of Manufacturing Systems, 86, 264–276. doi:10.1016/j.jmsy.2026.03.009
Pressure‐Induced Degradation Effects in Large‐Format Lithium‐Ion Pouch Cells
Hölderle, T.; Smith, A.; Schmidgruber, N.; Baran, V.; Schökel, A.; Westphal, L.; Kochetov, V.; Jokisch, S.; Müller-Buschbaum, P.; Senyshyn, A.
2026. Batteries and Supercaps, 9 (5), 1. doi:10.1002/batt.202500941
Hölderle, T.; Smith, A.; Schmidgruber, N.; Baran, V.; Schökel, A.; Westphal, L.; Kochetov, V.; Jokisch, S.; Müller-Buschbaum, P.; Senyshyn, A.
2026. Batteries and Supercaps, 9 (5), 1. doi:10.1002/batt.202500941
Analyse prozessübergreifender Wirkzusammenhänge zur Modellierung der Stapelbildung in der Batteriezellfertigung - Ein Beitrag zur Bewertung geometrischer Effekte in Elektroden auf die Stapelgenauigkeit. PhD dissertation
Mayer, D.
2026, April 16. Shaker Verlag. doi:10.5445/IR/1000192222
Mayer, D.
2026, April 16. Shaker Verlag. doi:10.5445/IR/1000192222
A Microstructure-based dynamic recrystallization model for dry machining of AISI 4140 with in-situ kinematic and thermal calibration and validation
Schoop, J.; Gonzalez, G.; Hartley, A.; Schulze, V., (1); Jawahir, I. S., (1)
2026. CIRP Annals. doi:10.1016/j.cirp.2026.04.090
Schoop, J.; Gonzalez, G.; Hartley, A.; Schulze, V., (1); Jawahir, I. S., (1)
2026. CIRP Annals. doi:10.1016/j.cirp.2026.04.090
Grey-box model–integrating tribology descriptor for tool wear prediction in milling
Jamali, A.; Kashyap, A.; Rümenapf, F.; Dias, N. F. L.; Tillmann, W.; Schneider, J.; Stüber, M.; Schulze, V., (1)
2026. CIRP Annals, 1. doi:10.1016/j.cirp.2026.04.087
Jamali, A.; Kashyap, A.; Rümenapf, F.; Dias, N. F. L.; Tillmann, W.; Schneider, J.; Stüber, M.; Schulze, V., (1)
2026. CIRP Annals, 1. doi:10.1016/j.cirp.2026.04.087
Identification of coexisting dynamic coupling regimes in high-speed directed energy deposition
Gajek, P.; Wexel, H.; Zanger, F., (2)
2026. CIRP Annals, 1. doi:10.1016/j.cirp.2026.04.091
Gajek, P.; Wexel, H.; Zanger, F., (2)
2026. CIRP Annals, 1. doi:10.1016/j.cirp.2026.04.091
Cure Modelling and Monitoring for Isothermal Processing of Fast-Curing Epoxy Resin
Schaible, P.; Schwaiberger, D.; Schabel, S.; Fleischer, J.
2026. Polymers, 18 (8), Art.-Nr.: 952. doi:10.3390/polym18080952
Schaible, P.; Schwaiberger, D.; Schabel, S.; Fleischer, J.
2026. Polymers, 18 (8), Art.-Nr.: 952. doi:10.3390/polym18080952