- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Mullo, Santiago D.; Pruna, Edwin; Wolff, Julius; Raatz, Annika: A vibration control for disassembly of turbine blades. In: Procedia CIRP 79 (2019), S. 180-185. DOI: https://doi.org/10.1016/j.procir.2019.02.041
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (when)
-
2019
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Technische Informationsbibliothek (TIB)
- (when)
-
2019
- Creator
-
Mullo, Santiago D.
Pruna, Edwin
Wolff, Julius
Raatz, Annika
- DOI
-
10.15488/10432
- URN
-
urn:nbn:de:101:1-2021030401112980445013
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
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
- Mullo, Santiago D.
- Pruna, Edwin
- Wolff, Julius
- Raatz, Annika
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2019
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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
Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
Development of a Methodology for the Determination of Conceptual Automated Disassembly Systems
Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning
Simulation-Based Determination of Disassembly Forces
Reduction of Disassembly Forces for Detaching Components with Solidified Assembly Connections
Investigation of the potential for an automated disassembly process of BEV batteries
Disassembly of electric vehicle batteries using the example of the Audi Q5 hybrid system
Design and Characterization of a 3D Printed Soft Pneumatic Actuator
Pseudo-elastic Flexure-Hinges in Robots for Micro Assembly
Selbst-Kalibrierung roboterbasierter Koordinatenmesssysteme
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
Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
Development of a Methodology for the Determination of Conceptual Automated Disassembly Systems
Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning
Simulation-Based Determination of Disassembly Forces
Reduction of Disassembly Forces for Detaching Components with Solidified Assembly Connections
Investigation of the potential for an automated disassembly process of BEV batteries
Disassembly of electric vehicle batteries using the example of the Audi Q5 hybrid system
Design and Characterization of a 3D Printed Soft Pneumatic Actuator
Pseudo-elastic Flexure-Hinges in Robots for Micro Assembly