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Martin Postel
Martin Postel
Research assistant, ETH Zurich
Dirección de correo verificada de iwf.mavt.ethz.ch
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Monitoring of vibrations and cutting forces with spindle mounted vibration sensors
M Postel, D Aslan, K Wegener, Y Altintas
CIRP Annals 68 (1), 413-416, 2019
722019
High speed tooltip FRF predictions of arbitrary tool-holder combinations based on operational spindle identification
M Postel, O Özsahin, Y Altintas
International Journal of Machine Tools and Manufacture 129, 48-60, 2018
622018
Ensemble transfer learning for refining stability predictions in milling using experimental stability states
M Postel, B Bugdayci, K Wegener
The International Journal of Advanced Manufacturing Technology 107, 4123-4139, 2020
502020
Neural network supported inverse parameter identification for stability predictions in milling
M Postel, B Bugdayci, F Kuster, K Wegener
CIRP Journal of Manufacturing Science and Technology 29, 71-87, 2020
272020
Improved stability predictions in milling through more realistic load conditions
M Postel, NB Bugdayci, J Monnin, F Kuster, K Wegener
Procedia CIRP 77, 102-105, 2018
162018
Improving stability predictions in milling by incorporation of toolholder sound emissions
VOA Akbari, M Postel, M Kuffa, K Wegener
CIRP Journal of Manufacturing Science and Technology 37, 359-369, 2022
92022
Operator integrated–concept for manufacturing intelligence
K Wegener, S Weikert, J Mayr, M Maier, VO Ali Akbari, M Postel
Journal of Machine Engineering 21, 2021
82021
Development and application of an automated impulse hammer for improved analysis of five-axis CNC machine dynamics and enhanced stability chart prediction
M Postel, N Candia, B Bugdayci, F Kuster, K Wegener
International Journal of Mechatronics and Manufacturing Systems 12 (3-4 …, 2019
82019
Model-supported improvement of stability limit predictions in milling through artificial neural networks
M Postel
ETH Zurich, 2020
52020
Effect of material inhomogeneity on chatter stability
NB Bugdayci, M Postel, K Wegener
International Journal of Mechatronics and Manufacturing Systems 15 (4), 264-285, 2022
12022
Monitoring of the average cutting forces from controller signals using artificial neural networks
NB Bugdayci, K Wegener, M Postel
Journal of Machine Engineering 22, 2022
12022
Method for predicting status of machining operation
M Postel
US Patent App. 17/221,030, 2021
12021
Method for predicting chatter of a machine tool
M Postel, NB Bugdayci, J Monnin, JP Besuchet
US Patent App. 16/876,237, 2020
12020
Detection of workpiece hardness variation from controller signals in milling operations
NB Bugdayci, M Postel, K Wegener
International Journal of Mechatronics and Manufacturing Systems 16 (2-3 …, 2023
2023
Automatic impact inducing device
N Candia, M Postel, NB Bugdayci
US Patent 11,243,138, 2022
2022
System and method for determining structural characteristics of a machine tool
M Postel, NB Bugdayci, F Kuster, JP Besuchet, J Monnin
US Patent 11,022,530, 2021
2021
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Artículos 1–16