Digital Twins in Battery Cell Production (Englisch)
- Neue Suche nach: Krauß, J.
- Neue Suche nach: Kreppein, A.
- Neue Suche nach: Pouls, K.
- Neue Suche nach: Ackermann, T.
- Neue Suche nach: Fitzner, A.
- Neue Suche nach: Kies, A. D.
- Neue Suche nach: Abramowski, J. -P.
- Neue Suche nach: Hülsmann, T.
- Neue Suche nach: Roth, D.
- Neue Suche nach: Schmetz, A.
- Neue Suche nach: Baum, C.
- Neue Suche nach: Liewald, Mathias
- Neue Suche nach: Verl, Alexander
- Neue Suche nach: Bauernhansl, Thomas
- Neue Suche nach: Möhring, Hans-Christian
- Neue Suche nach: Krauß, J.
- Neue Suche nach: Kreppein, A.
- Neue Suche nach: Pouls, K.
- Neue Suche nach: Ackermann, T.
- Neue Suche nach: Fitzner, A.
- Neue Suche nach: Kies, A. D.
- Neue Suche nach: Abramowski, J. -P.
- Neue Suche nach: Hülsmann, T.
- Neue Suche nach: Roth, D.
- Neue Suche nach: Schmetz, A.
- Neue Suche nach: Baum, C.
In:
Production at the Leading Edge of Technology
: Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022
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Kapitel: 81
;
823-832
;
2023
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Digital Twins in Battery Cell Production
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Weitere Titelangaben:Lecture Notes in Production Engineering
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Beteiligte:Liewald, Mathias ( Herausgeber:in ) / Verl, Alexander ( Herausgeber:in ) / Bauernhansl, Thomas ( Herausgeber:in ) / Möhring, Hans-Christian ( Herausgeber:in ) / Krauß, J. ( Autor:in ) / Kreppein, A. ( Autor:in ) / Pouls, K. ( Autor:in ) / Ackermann, T. ( Autor:in ) / Fitzner, A. ( Autor:in ) / Kies, A. D. ( Autor:in )
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Kongress:Congress of the German Academic Association for Production Technology ; 2022 ; Stuttgart, Germany
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Erschienen in:Production at the Leading Edge of Technology : Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022 ; Kapitel: 81 ; 823-832Lecture Notes in Production Engineering ; 823-832
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:02.02.2023
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Format / Umfang:10 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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- 2
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Study on the Compressibility of TiAl48-2-2 Powder Mixed with Elemental PowdersHeymann, A. / Peddinghaus, J. / Brunotte, K. / Behrens, B.-A. et al. | 2023
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- 4
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Characterisation and Modelling of Intermetallic Phase Growth of Aluminium and Titanium in a Tailored Forming Process ChainHeimes, N. / Wester, H. / Golovko, O. / Klose, C. / Maier, H. J. / Uhe, J. et al. | 2023
- 5
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- 6
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Mechanisms for the Production of Prestressed Fiber-Reinforced Mineral CastEngert, M. / Werkle, K. / Wegner, R. / Möhring, H.-C. et al. | 2023
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Development of Thin-Film Sensors for Data Acquisition in Cold Forging ToolsSchott, A. / Rekowski, M. / Grötzinger, K. / Ehrbrecht, B. / Herrmann, C. et al. | 2023
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- 9
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Simulation of Hot-Forging Processes with a Temperature−Dependent Viscoplasticity ModelSiring, J. / Schlayer, M. / Wester, H. / Seifert, T. / Rosenbusch, D. / Behrens, B.-A. et al. | 2023
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Finite Element Analysis of a Combined Collar Drawing and Thread Forming ProcessStockburger, E. / Wester, H. / Rosenbusch, D. / Behrens, B.-A. et al. | 2023
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Monitoring of the Flange Draw-In During Deep Drawing Processes Using a Thin-Film Inductive SensorFünfkirchler, T. / Arndt, M. / Hübner, S. / Dencker, F. / Wurz, M. C. / Behrens, B.-A. et al. | 2023
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Parameter Investigation for the In-Situ Hybridization Process by Deep Drawing of Dry Fiber-Metal-LaminatesKruse, M. / Lehmann, J. / Ben Khalifa, N. et al. | 2023
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Efficient Digital Product Development Exemplified by a Novel Process-Integrated Joining Technology Based on Hole-FlangingGriesel, D. / Germann, T. / Drogies, T. / Groche, P. et al. | 2023
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A Force-Sensitive Mechanical Deep Rolling Tool for Process MonitoringBerlin, J. / Denkena, B. / Klemme, H. / Maiss, O. / Dowe, M. et al. | 2023
- 18
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Optimization of the Calibration Process in Freeform Bending Regarding Robustness and Experimental EffortScandola, L. / Werner, M. K. / Maier, D. / Volk, W. et al. | 2023
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Numerical and Experimental Investigations to Increase Cutting Surface Quality by an Optimized Punch DesignSchenek, A. / Senn, S. / Liewald, M. et al. | 2023
- 20
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Process Design Optimization for Face Hobbing Plunging of Bevel GearsKamratowski, M. / Alexopoulos, C. / Brimmers, J. / Bergs, T. et al. | 2023
- 21
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Experimental Investigation of Friction-Drilled Bushings for Metal-Plastic In-Mold AssemblyDroß, M. / Ossowski, T. / Dröder, K. / Stockburger, E. / Wester, H. / Behrens, B. -A. et al. | 2023
- 22
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Localization of Discharges in Drilling EDM Through Segmented Workpiece ElectrodesThißen, K. / Yabroudi, S. / Uhlmann, E. et al. | 2023
- 23
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Experimental Studies in Deep Hole Drilling of Ti-6Al-4V with Twist DrillsZimon, M. / Brock, G. / Biermann, D. et al. | 2023
- 24
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Determination of Largest Possible Cutter Diameter of End Mills for Arbitrarily Shaped 3-Axis Milling FeaturesErler, M. / Koch, A. / Brosius, A. et al. | 2023
- 25
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Investigation of the Effect of Minimum Quantity Lubrication on the Machining of WoodJaquemod, A. / Güzel, K. / Möhring, H.-C. et al. | 2023
- 26
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Fluid Dynamics and Influence of an Internal Coolant Supply in the Sawing ProcessMenze, C. / Itterheim, M. / Möhring, H.-C. / Stegmann, J. / Kabelac, S. et al. | 2023
- 27
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Investigation of the Weld Line of Compression Molded GMT and UD TapeWeichenhain, J. / Wehmeyer, J. / Althaus, P. / Hübner, S. / Behrens, B. -A. et al. | 2023
- 28
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In-situ Computed Tomography and Transient Dynamic Analysis of a Single-Lap Shear Test with a Composite-Metal Clinch PointKöhler, Daniel / Stephan, Richard / Kupfer, Robert / Troschitz, Juliane / Brosius, Alexander / Gude, Maik et al. | 2023
- 29
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Development of Pressure Sensors Integration Method to Measure Oil Film Pressure for Hydrodynamic Linear GuidesIbrar, B. / Wittstock, V. / Regel, J. / Dix, M. et al. | 2023
- 30
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Multivariate Synchronization of NC Process Data Sets Based on Dynamic Time WarpingOchel, J. / Fey, M. / Brecher, C. et al. | 2023
- 31
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Investigation of the Process Limits for the Design of a Parameter-Based CAD Forming Tool ModelWehmeyer, J. / Scheffler, R. / Enseleit, R. / Kirschbaum, S. / Pfeffer, C. / Hübner, S. / Behrens, B. -A. et al. | 2023
- 32
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Embossing NanostructuresSchmiele, D. / Krimm, R. / Behrens, B. -A. et al. | 2023
- 33
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Model-Based Diagnosis of Feed Axes with Contactless Current SensingHansjosten, M. / Bott, A. / Puchta, A. / Gönnheimer, P. / Fleischer, J. et al. | 2023
- 34
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Measurement Setup and Modeling Approach for the Deformation of Robot Bodies During MachiningGründel, L. / Schäfer, J. / Storms, S. / Brecher, C. et al. | 2023
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Adaptable Press Foundation Using Magnetorheological DampersFries, S. / Friesen, D. / Krimm, R. / Behrens, B.-A. et al. | 2023
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Implementation of MC-SPG Particle Method in the Simulation of Orthogonal Turning ProcessRana, P. / Hintze, W. / Schall, T. / Polley, W. et al. | 2023
- 38
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Thermomechanical Multiscale PBF-LB-Process Simulation of Macroscopic Structures to Predict Part Distortion Recoater CollisionsDrechsel, K. / Frey, M. / Schulze, V. / Zanger, F. et al. | 2023
- 39
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Digitization of the Manufacturing Process Chain of Forming and Joining by Means of MetamodelingBrix, P. / Liewald, M. / Kuenzel, M. et al. | 2023
- 40
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Analysis of Cryogenic Minimum Quantity Lubrication (cMQL) in Micro Deep Hole Drilling of Difficult-to-Cut MaterialsSicking, M. / Jaeger, J. / Jaeger, E. / Iovkov, I. / Biermann, D. et al. | 2023
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Friction Modeling for Structured Learning of Robot DynamicsTrinh, M. / Schwiedernoch, R. / Gründel, L. / Storms, S. / Brecher, C. et al. | 2023
- 42
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Potential of Ultra-High Performance Fiber Reinforced Concrete UHPFRC in Metal Forming TechnologyHolzer, K. / Füchsle, F. / Steinlehner, F. / Ettemeyer, F. / Volk, W. et al. | 2023
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Smart Containers—Enabler for More Sustainability in Food Industries?Burggräf, P. / Steinberg, F. / Adlon, T. / Nettesheim, P. / Kahmann, H. / Wu, L. et al. | 2023
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Investigation on the Influence of Geometric Parameters on the Dimensional Accuracy of High-Precision Embossed Metallic Bipolar PlatesBeck, M. / Riedmüller, K. R. / Liewald, M. / Bertz, A. / Aslan, M. J. / Carl, D. et al. | 2023
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Investigation of Geometrical and Microstructural Influences on the Mechanical Properties of an Extruded AA7020 TubeReblitz, J. / Wiesenmayer, S. / Trân, R. / Merklein, M. et al. | 2023
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Metallic Plate-Lattice-Structures for a Modular and Lightweight Designed Die Casting ToolWinter, B. / Schwab, J. / Hürkamp, A. / Müller, S. / Dröder, K. et al. | 2023
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Impact of Data Sampling on Performance and Robustness of Machine Learning Models in Production EngineeringConrad, F. / Boos, E. / Mälzer, M. / Wiemer, H. / Ihlenfeldt, S. et al. | 2023
- 48
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Blockchain Based Approach on Gathering Manufacturing Information Focused on Data IntegrityBux, T. / Riedel, O. / Lechler, A. et al. | 2023
- 49
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Utilizing Artificial Intelligence for Virtual Quality Gates in Changeable Production SystemsWilde, A.-S. / Czarski, M. / Schott, A. / Abraham, T. / Herrmann, Christoph et al. | 2023
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Analytical Approach for Parameter Identification in Machine Tools Based on Identifiable CNC Reference RunsGönnheimer, Philipp / Ströbel, Robin / Fleischer, Jürgen et al. | 2023
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Application Areas, Use Cases, and Data Sets for Machine Learning and Artificial Intelligence in ProductionKrauß, J. / Hülsmann, T. / Leyendecker, L. / Schmitt, R. H. et al. | 2023
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Function-Orientated Adaptive Assembly of Micro Gears Based on Machine LearningSchiller, V. / Lanza, G. et al. | 2023
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Data Mining Suitable Digitization of Production Systems – A Methodological Extension to the DMMEDrowatzky, L. / Wiemer, H. / Ihlenfeldt, S. et al. | 2023
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An Implementational Concept of the Autonomous Machine Tool for Small-Batch ProductionSarikaya, E. / Fertig, A. / Öztürk, T. / Weigold, M. et al. | 2023
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Benchmarking Control Charts and Machine Learning Methods for Fault Prediction in ManufacturingBeckschulte, S. / Mohren, J. / Huebser, L. / Buschmann, D. / Schmitt, R. H. et al. | 2023
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Enabling Data-Driven Applications in Manufacturing: An Approach for Broadly Applicable Machine Data Acquisition and Intelligent Parameter IdentificationGönnheimer, Philipp / Hillenbrand, Jonas / Heider, Imanuel / Baucks, Marina / Fleischer, Jürgen et al. | 2023
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Data-Based Measure Derivation for Business Process DesignSchopen, M. / Schmitz, S. / Gützlaff, A. / Schuh, G. et al. | 2023
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Improving a Deep Learning Temperature-Forecasting Model of a 3-Axis Precision Machine with Domain Randomized Thermal Simulation DataBoos, E. / Thiem, X. / Wiemer, H. / Ihlenfeldt, S. et al. | 2023
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Game-Theoretic Concept for Determining the Price of Time Series DataMayer, J. / Kaufmann, T. / Niemietz, P. / Bergs, T. et al. | 2023
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A New Approach to Consider Influencing Factors in the Design of Global Production NetworksMartin, M. / Peukert, S. / Lanza, G. et al. | 2023
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Pushing the Frontiers of Personal Manufacturing with Open Source Machine ToolsOmer, M. / Redlich, T. / Wulfsberg, J.-P. et al. | 2023
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Aggregated Production Planning for Engineer-To-Order Products Using Reference CurvesGirkes, F. / Reimche, M. / Bergmann, J. P. / Töpfer-Kerst, C. B. / Berghof, S. et al. | 2023
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Template-Based Production Modules in Plant EngineeringPrior, J. / Karch, S. / Strahilov, A. / Kuhlenkötter, B. / Lüder, A. et al. | 2023
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Lean Engineering and Lean Information Management Make Data Flow in Plant Engineering ProcessesKarch, Sabrina / Prior, Johannes / Strahilov, Anton / Lüder, Arndt / Kuhlenkötter, Bernd et al. | 2023
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Sustainable Personnel Development Based on Production PlansMöhle, J. / Nörenberg, L. / Shabanaj, F. / Motz, M. / Nyhuis, P. / Schmitt, R. et al. | 2023
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Very Short-Term Electric Load Forecasting with Suitable Resolution Quality – A Study in the Industrial SectorBaur, Lukas / Kaymakci, Can / Sauer, Alexander et al. | 2023
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Approach to Develop a Lightweight Potential Analysis at the Interface Between Product, Production and MaterialZeidler, S. / Scholz, J. / Friedmann, M. / Fleischer, J. et al. | 2023
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Improving Production System Flexibility and Changeability Through Software-Defined ManufacturingBehrendt, S. / Ungen, M. / Fisel, J. / Hung, K.-C. / May, M.-C. / Leberle, U. / Lanza, G. et al. | 2023
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Optimal Selection of Decarbonization Measures in Manufacturing Using Mixed-Integer ProgrammingSchneider, C. / Büttner, S. / Sauer, A. et al. | 2023
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Determining the Product-Specific Energy Footprint in ManufacturingPelger, P. / Kaymakci, C. / Wenninger, S. / Fabri, L. / Sauer, A. et al. | 2023
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A Service-Oriented Sustainability Platform—Basic Considerations to Facilitate a Data-Based Sustainability Management System in Manufacturing CompaniesKoch, D. / Waltersmann, L. / Sauer, A. et al. | 2023
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Leveraging Peripheral Systems Data in the Design of Data-Driven Services to Increase Resource EfficiencyKaufmann, T. / Niemietz, P. / Bergs, T. et al. | 2023
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Potential for Stamping Scrap Reduction in Progressive ProcessesRosenthal, S. / Hainmann, T. -S. / Heuse, M. / Sulaiman, H. / Tekkaya, A. -E. et al. | 2023
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Digital Twins in Battery Cell ProductionKrauß, J. / Kreppein, A. / Pouls, K. / Ackermann, T. / Fitzner, A. / Kies, A. D. / Abramowski, J. -P. / Hülsmann, T. / Roth, D. / Schmetz, A. et al. | 2023
- 82
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Use Cases for Digital Twins in Battery Cell ManufacturingHenschel, S. / Otte, S. / Mayer, D. / Fleischer, J. et al. | 2023