Papers matching “machine tool error modeling” 38
Not finding it? Sign in to also search OpenAlex live.
-
Five-Axis Machine Tool Volumetric and Geometric Error Reduction by Indirect Geometric Calibration and Lookup Tables2021 Journal of Manufacturing Science and Engineering article Engineering Advanced Measurement and Metrology Techniques cited by 1 patent
Sareh M. Esmaeili, J.R.R. Mayer, Mark P. Sanders, Philipp Dahlem, Kanglin Xing
13citations -
Hybrid Thermal Error Compensation Combining Integrated Deformation Sensor and Regression Analysis Based Models for Complex Machine Tool Designs2023 Lecture notes in production engineering conference-paper Engineering Advanced Measurement and Metrology Techniques Open access
Christian Naumann, Andreas Naumann, Nico Bertaggia, Alexander Geist, Janine Glänzel, Roland Herzog, +3 more
7citations -
Capability analysis of the dynamic R-test measuring thermo-elastic errors of a five-axis machine tool2025 CIRP journal of manufacturing science and technology article Engineering Advanced Measurement and Metrology Techniques Open access
Tae Hun Lee, Tim Klinkhammer, Daniel Zontar, Christian Brecher
3citations -
Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models2025 Nordic Pulp & Paper Research Journal article Engineering Fault Detection and Control Systems Open access
Rosario Othen, Chen Lu Song, Jan Schlake, Christian Möbitz, Thomas Gries
0citations -
Bio-based insulation materials and model predictive control of active cooling systems in machine tools2023 Procedia CIRP article Engineering Advanced Measurement and Metrology Techniques Open access cited by 1 patent
Daniel Reibert, Alexander Steinert, Daniel Zontar, Stephan Neus, Christian Brecher
5citations -
Thermal Characterization and Predictive Modeling of Thermo-Elastic Errors in Five-Axis Machining Centers Using Dynamic R-Test2025 Journal of Manufacturing and Materials Processing article Engineering Advanced Measurement and Metrology Techniques Open access
Tae Hun Lee, Tim Klinkhammer, Daniel Zontar, Christian Brecher
2citations -
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Engineering Advanced Memory and Neural Computing Open access
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
5citations -
Model-Based Determination Of Process Force In Multi-Axis Milling2023 Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering conference-paper Engineering Advanced machining processes and optimization Open access
Patrick Ochudlo, Adrian Karl Rüppel, Sebastian Stemmler, Thomas Bergs, Dirk Abel
3citations