A state-of-the-art review on robotic milling of complex parts with high efficiency and precision

W Wang, Q Guo, Z Yang, Y Jiang, J Xu - Robotics and Computer-Integrated …, 2023 - Elsevier
Milling refers to a class of material processing methods that relies on a high-speed rotating
milling cutter removing extra material to get desired shapes and features. Being distinct from …

Recent progress of chatter prediction, detection and suppression in milling

L Zhu, C Liu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Machining chatter has been studied by scholars over the past decades, since chatter has a
significant impact on surface quality and productivity. Researchers have carried out …

[HTML][HTML] A review of chatter vibration research in milling

YUE Caixu, GAO Haining, LIU Xianli, SY Liang… - Chinese Journal of …, 2019 - Elsevier
Chatter is a self-excited vibration of parts in machining systems. It is widely present across a
range of cutting processes, and has an impact upon both efficiency and quality in production …

On-line chatter detection in milling using drive motor current commands extracted from CNC

D Aslan, Y Altintas - International Journal of Machine Tools and …, 2018 - Elsevier
This paper presents an on-line chatter detection method in milling using drive motor current
commands supplied by the CNC system in real-time. The methodology is described by using …

A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot

Y Wang, M Zhang, X Tang, F Peng, R Yan - Journal of Intelligent …, 2022 - Springer
Industrial robots play an important role in the milling of large complex parts. However, the
robot is less rigid and prone to vibration-related problems; chatter, which affects machining …

Digital twins of manufacturing systems as a base for machine learning

F Jaensch, A Csiszar, C Scheifele… - 2018 25th International …, 2018 - ieeexplore.ieee.org
In the engineering phase of modern manufacturing systems, simulation-based methods and
tools have been established to face the increasing demands on time-efficiency and …

Physics-informed Bayesian inference for milling stability analysis

G Chen, Y Li, X Liu, B Yang - International Journal of Machine Tools and …, 2021 - Elsevier
The accurate prediction of chatter stability in milling operations is a continuous pursuit of
manufacturing engineering. Physical-based stability analysis methods suffer from inaccurate …

Ensemble transfer learning for refining stability predictions in milling using experimental stability states

M Postel, B Bugdayci, K Wegener - The International Journal of Advanced …, 2020 - Springer
A new approach for updating model-based stability chart predictions in milling based on
experimental data is presented. The approach utilizes Deep Neural Networks (DNNs), which …

Physics-informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems

J Hua, Y Li, C Liu, P Wan, X Liu - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
The state prediction of key components in manufacturing systems tends to be risk-sensitive
tasks, where prediction accuracy and stability are the two key indicators. The physics …

A machine-learning based solution for chatter prediction in heavy-duty milling machines

I Oleaga, C Pardo, JJ Zulaika, A Bustillo - Measurement, 2018 - Elsevier
The main productivity constraints of milling operations are self-induced vibrations, especially
regenerative chatter vibrations. Two key parameters are linked to these vibrations: the depth …