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Prof. Dr.-Ing. Rüdiger Daub
Prof. Dr.-Ing. Rüdiger Daub
TUM - Chair of Production Technology and Energy Storage Systems
Verified email at iwb.tum.de - Homepage
Title
Cited by
Cited by
Year
A multivariate KPI-based method for quality assurance in lithium-ion-battery production
T Kornas, E Knak, R Daub, U Bührer, C Lienemann, H Heimes, ...
Procedia CIRP 81, 75-80, 2019
422019
A thermal simulation model for laser-assisted milling
MF Zaeh, R Wiedenmann, R Daub
Physics Procedia 5, 353-362, 2010
362010
Experimental investigation of the cutting front angle during remote fusion cutting
A Schober, J Musiol, R Daub, J Feil, MF Zaeh
Physics Procedia 39, 204-212, 2012
302012
Data-and expert-driven analysis of cause-effect relationships in the production of lithium-ion batteries
T Kornas, R Daub, MZ Karamat, S Thiede, C Herrmann
2019 IEEE 15th International Conference on Automation Science and …, 2019
282019
Gas-tight thermally joined metal-thermoplastic connections by pulsed laser surface pre-treatment
A Heckert, C Singer, MF Zaeh, R Daub, T Zeilinger
Physics Procedia 83, 1083-1093, 2016
272016
Hydrolysis of argyrodite sulfide-based separator sheets for industrial all-solid-state battery production
C Singer, HC Töpper, T Kutsch, R Schuster, R Koerver, R Daub
ACS applied materials & interfaces 14 (21), 24245-24254, 2022
232022
Influence of pressure and temperature on the electrolyte filling of lithium-ion cells: Experiment, model and method
FJ Günter, J Keilhofer, C Rauch, S Rössler, M Schulz, W Braunwarth, ...
Journal of power sources 517, 230668, 2022
222022
Multi-criteria optimization in the production of lithium-ion batteries
T Kornas, D Wittmann, R Daub, O Meyer, C Weihs, S Thiede, C Herrmann
Procedia Manufacturing 43, 720-727, 2020
222020
Lean Cell Finalization in Lithium‐Ion Battery Production: Determining the Required Electrolyte Wetting Degree to Begin the Formation
J Hagemeister, S Stock, M Linke, M Fischer, R Drees, M Kurrat, R Daub
Energy Technology 11 (5), 2200686, 2023
132023
Erhöhung der Nahttiefe beim Laserstrahl-Wärmeleitungsschweißen von Stählen
R Daub
Herbert Utz Verlag, 2012
122012
Influence of CO2 in the Ar process-gas on the heat-conduction mode laser beam welding process with Nd: YAG and diode lasers
MF Zaeh, R Daub, A Mahrle, E Beyer
Proceedings of the Fifth International WLT-Conference on Lasers in …, 2009
112009
Machine learning in lithium‐ion battery cell production: a comprehensive mapping study
S Haghi, MFV Hidalgo, MF Niri, R Daub, J Marco
Batteries & Supercaps 6 (7), e202300046, 2023
102023
Numerical models of the electrolyte filling process of lithium-ion batteries to accelerate and improve the process and cell design
J Hagemeister, FJ Günter, T Rinner, F Zhu, A Papst, R Daub
Batteries 8 (10), 159, 2022
92022
A skill-and feature-based approach to planning process monitoring in assembly planning
C Gonnermann, SE Hashemi-Petroodi, S Thevenin, A Dolgui, R Daub
The International Journal of Advanced Manufacturing Technology 122 (5), 2645 …, 2022
92022
Cell teardown and characterization of an automotive prismatic LFP battery
S Stock, J Hagemeister, S Grabmann, J Kriegler, J Keilhofer, M Ank, ...
Electrochimica Acta 471, 143341, 2023
72023
In-line sensor-based process control of the calendering process for lithium-ion batteries
A Mayr, D Schreiner, B Stumper, R Daub
Procedia CIRP 107, 295-301, 2022
72022
Influence on the efficiency of the heat conduction mode laser beam welding process regarding different laser spot geometries
R Daub, R Wiedenmann, A Mahrle, J Duong, MF Zaeh
Pacific International Conference on Applications of Lasers and Optics, 200-208, 2010
72010
Reflected laser radiation-relevance for laser safety?
MF Zaeh, S Braunreuther, R Daub, T Stadler
Physics Procedia 5, 177-186, 2010
72010
Laserstrahlschweißen von Kupferwerkstoff mit unterschiedlichen Strahlquellen
R Wiedenmann, A Belitzki, MF Zaeh, R Daub, H Schilp, M Kohnhaeuser
wt Werkstattstechnik online 103, 470-475, 2013
62013
A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation
M Faraji Niri, K Aslansefat, S Haghi, M Hashemian, R Daub, J Marco
Energies 16 (17), 6360, 2023
52023
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Articles 1–20