- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Denkena, B.; Bergmann, B.; Lepper, T.: Design and optimization of a machining robot. In: Procedia Manufacturing 14 (2017), S. 89-96. DOI: https://doi.org/10.1016/j.promfg.2017.11.010
- Event
-
Veröffentlichung
- (where)
-
Hannover, Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)
- (when)
-
2017
- Creator
-
Denkena, Berend
Bergmann, Benjamin
Lepper, Thomas
- DOI
-
10.15488/2615
- URN
-
urn:nbn:de:101:1-2020071616080852078420
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 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
- Denkena, Berend
- Bergmann, Benjamin
- Lepper, Thomas
- Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)
Time of origin
- 2017
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Innovative drive concept for machining robots
Energy Efficiency in Machining of Aircraft Components
Enabling an Industrial Robot for Metal Cutting Operations
Adaptive inspection planning – Consideration of uncertainties in machining
Chip formation in machining metal bonded grinding layers
Machining of Micro Dimples for Friction Reduction in Cylinder Liners
Identification of the process damping coefficient in dry and wet machining of steel
Energy-efficient control of dust extraction for the machining of fibre-reinforced plastics
New production technologies in aerospace industry - 5th machining innovations conference (MIC 2014) determination of residual stresses in plate material by layer removal with machine-integrated measurement
Simulation Based Planning of Machining Processes with Industrial Robots
Chip formation in machining hybrid components of SAE1020 and SAE5140
Simulation based parameterization for process monitoring of machining operations
Innovative drive concept for machining robots
Energy Efficiency in Machining of Aircraft Components
Enabling an Industrial Robot for Metal Cutting Operations
Adaptive inspection planning – Consideration of uncertainties in machining
Chip formation in machining metal bonded grinding layers
Machining of Micro Dimples for Friction Reduction in Cylinder Liners
Identification of the process damping coefficient in dry and wet machining of steel
Energy-efficient control of dust extraction for the machining of fibre-reinforced plastics
New production technologies in aerospace industry - 5th machining innovations conference (MIC 2014) determination of residual stresses in plate material by layer removal with machine-integrated measurement
Simulation Based Planning of Machining Processes with Industrial Robots