Investigation of the potential for an automated disassembly process of BEV batteries
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Blankemeyer, S.; Wiens, D.; Wiese, T.; Raatz, A.; Kara, S.: Investigation of the potential for an automated disassembly process of BEV batteries. In: Procedia CIRP 98 (2021), S. 559-564. DOI: https://doi.org/10.1016/j.procir.2021.01.151
- Classification
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Elektrotechnik, Elektronik
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover
- (when)
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2021
- Event
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Veröffentlichung
- (where)
-
Hannover
- (who)
-
Technische Informationsbibliothek (TIB)
- (when)
-
2021
- Creator
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Blankemeyer, Sebastian
Wiens, Denise
Wiese, Tobias
Raatz, Annika
Kara, Sami
- DOI
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10.15488/14341
- URN
-
urn:nbn:de:101:1-2023080302254154596791
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:49 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Blankemeyer, Sebastian
- Wiens, Denise
- Wiese, Tobias
- Raatz, Annika
- Kara, Sami
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2021
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Development of a Methodology for the Determination of Conceptual Automated Disassembly Systems
Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning
Disassembly of electric vehicle batteries using the example of the Audi Q5 hybrid system
Simulation-Based Determination of Disassembly Forces
A vibration control for disassembly of turbine blades
Reduction of Disassembly Forces for Detaching Components with Solidified Assembly Connections
Simultaneous Grasping and Heating Technology for Automated Handling and Preforming of Continuous Fiber Reinforced Thermoplastics
Influences on the Automated Assembly of Hybrid Microsystems with High Accuracy
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Pose Estimation and Damage Characterization of Turbine Blades during Inspection Cycles and Component-Protective Disassembly Processes
Experimental Validation Of A Solidification Model For Automated Disassembly
Development of a Methodology for the Determination of Conceptual Automated Disassembly Systems
Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning
Disassembly of electric vehicle batteries using the example of the Audi Q5 hybrid system
Simulation-Based Determination of Disassembly Forces
A vibration control for disassembly of turbine blades
Reduction of Disassembly Forces for Detaching Components with Solidified Assembly Connections
Simultaneous Grasping and Heating Technology for Automated Handling and Preforming of Continuous Fiber Reinforced Thermoplastics
Influences on the Automated Assembly of Hybrid Microsystems with High Accuracy
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