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Benjamin Bergmann
Benjamin Bergmann
Dr.-Ing., Leibniz Universität Hannover, Institut für Fertigungstechnik und Werkzeugmaschinen
Verified email at ifw.uni-hannover.de - Homepage
Title
Cited by
Cited by
Year
Effect of PVD film's residual stresses on their mechanical properties, brittleness, adhesion and cutting performance of coated tools
G Skordaris, KD Bouzakis, T Kotsanis, P Charalampous, E Bouzakis, ...
CIRP Journal of Manufacturing Science and Technology 18, 145-151, 2017
832017
Design and optimization of a machining robot
B Denkena, B Bergmann, T Lepper
Procedia Manufacturing 14, 89-96, 2017
632017
Cooling of motor spindles—a review
B Denkena, B Bergmann, H Klemme
The International Journal of Advanced Manufacturing Technology 110 (11 …, 2020
432020
Basic principles for the design of cutting edge roundings
B Bergmann, T Grove
CIRP Annals 67 (1), 73-78, 2018
412018
Energy efficiency improvement of machine tool spindle cooling system with on–off control
K Mori, B Bergmann, D Kono, B Denkena, A Matsubara
CIRP Journal of Manufacturing Science and Technology 25, 14-21, 2019
402019
Development of cutting edge geometries for hard milling operations
B Denkena, J Köhler, B Bergmann
CIRP Journal of Manufacturing Science and Technology 8, 43-52, 2015
382015
Energy consumption characterization in precision hard machining using CBN cutting tools
W Grzesik, B Denkena, K Żak, T Grove, B Bergmann
The International Journal of Advanced Manufacturing Technology 85, 2839-2845, 2016
322016
Reconstruction of process forces in a five-axis milling center with a LSTM neural network in comparison to a model-based approach
B Denkena, B Bergmann, D Stoppel
Journal of manufacturing and materials processing 4 (3), 62, 2020
262020
Material identification based on machine-learning algorithms for hybrid workpieces during cylindrical operations
B Denkena, B Bergmann, M Witt
Journal of Intelligent Manufacturing 30, 2449-2456, 2019
262019
Chip formation of rounded cutting edges
B Bergmann, B Denkena, T Grove, T Picker
International Journal of Precision Engineering and Manufacturing 20, 37-44, 2019
252019
Analysis of different machine learning algorithms to learn stability lobe diagrams
B Denkena, B Bergmann, S Reimer
Procedia CIRP 88, 282-287, 2020
212020
Automatic process parameter adaption for a hybrid workpiece during cylindrical operations
B Denkena, B Bergmann, M Witt
The International Journal of Advanced Manufacturing Technology 95, 311-316, 2018
142018
Laser material removal on cutting tools from different materials and its effect on wear behavior
B Breidenstein, B Denkena, B Bergmann, A Krödel
Metal powder report 73 (1), 26-31, 2018
142018
Influence of deep rolling on surface layer condition and fatigue life of steel welded joints
C Dänekas, S Heikebrügge, J Schubnell, P Schaumann, B Breidenstein, ...
International Journal of Fatigue 162, 106994, 2022
132022
Towards an autonomous maintenance, repair and overhaul process: Exemplary holistic data management approach for the regeneration of aero-engine blades
B Denkena, P Nyhuis, B Bergmann, N Nübel, T Lucht
Procedia Manufacturing 40, 77-82, 2019
122019
Grundlagen zur Auslegung von Schneidkantenverrundungen
B Bergmann
PZH-Verlag, 2017
122017
Preload monitoring of single nut ball screws based on sensor fusion
B Denkena, B Bergmann, A Schmidt
CIRP Journal of Manufacturing Science and Technology 33, 63-70, 2021
102021
Cooling potential of heat pipes and heat exchangers within a machine tool spindle
B Denkena, B BERGMAN, H Klemme, D DOHLMANN
Proceedings, CIRP Sponsored Conference on Thermal Issues in Machine Tools …, 2018
102018
Process-parallel center deviation measurement of a BTA deep-hole drilling tool
B Denkena, B Bergmann, S Kaiser, M Mücke, D Bolle
Procedia Manufacturing 24, 229-234, 2018
102018
Online adaption of milling parameters for a stable and productive process
B Bergmann, S Reimer
CIRP Annals 70 (1), 341-344, 2021
92021
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