Chatter detection in milling processes—a review on signal processing and condition classification
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …
[HTML][HTML] Review of in situ process monitoring for metal hybrid directed energy deposition
Hybrid manufacturing, or the combination of additive and subtractive manufacturing within a
single build volume is transforming the way products are being fabricated. Additive …
single build volume is transforming the way products are being fabricated. Additive …
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts
A García-Pérez, A Ziegenbein, E Schmidt… - Journal of Manufacturing …, 2023 - Elsevier
We present an automated turning insert wear detection system developed for aeronautical
Low Pressure Turbines (LPT) casing machining process based on a binary classifier using …
Low Pressure Turbines (LPT) casing machining process based on a binary classifier using …
An interpretable anti-noise convolutional neural network for online chatter detection in thin-walled parts milling
Chatter is a notoriously unstable phenomenon that can adversely affect both surface quality
and machining efficiency. To achieve high-performance machining, the development of …
and machining efficiency. To achieve high-performance machining, the development of …
In-process monitoring of the ultraprecision machining process with convolution neural networks
In-process monitoring and quality control are the most critical aspects of the manufacturing
industry, especially in ultra-precision machining (UPM) at an industrial scale. However, in …
industry, especially in ultra-precision machining (UPM) at an industrial scale. However, in …
Improved STFT analysis using time-frequency masking for chatter detection in the milling process
DE Matthew, J Shi, M Hou, H Cao - Measurement, 2024 - Elsevier
In the field of machining, the purposeful increase in cutting depth and rotation speed can
potentially cause chatter vibration. Chatter lowers surface quality, tool and spindle life, and …
potentially cause chatter vibration. Chatter lowers surface quality, tool and spindle life, and …
Adaptive threshold discrimination and synchronous squeezing transform for high-speed milling chatter detection
J Shi, DE Matthew, W Tian, Y Xue, H Cao… - Journal of Manufacturing …, 2024 - Elsevier
The term “chatter” in the manufacturing process refers to the self-excited vibrations that arise
during machining operations, which include drilling, turning, and milling. These vibrations …
during machining operations, which include drilling, turning, and milling. These vibrations …
An intelligent milling chatter detection method based on VMD-synchro-squeeze wavelet and transfer learning via deep CNN with vibration signals
Chatter is an undesirable vibration that reduces the surface quality and dimensional
accuracy of the workpieces, as well as reduction tool life. In the rapid milling process, this …
accuracy of the workpieces, as well as reduction tool life. In the rapid milling process, this …
Milling chatter detection based on information entropy of interval frequency
S Wan, S Liu, X Li, K Yan, J Hong - Measurement, 2023 - Elsevier
Chatter has been one of the most unfavorable issues during the milling, seriously affecting
the machining efficiency, quality of machined surface. In this paper, considering the …
the machining efficiency, quality of machined surface. In this paper, considering the …
Chatter detection in milling process with feature selection based on sub-band attention convolutional neural network
K Jeong, W Kim, N Kim, J Park - The International Journal of Advanced …, 2023 - Springer
For fault detection using deep learning methods, feature extraction and subsequent
selection are important tasks to achieve higher classification accuracy. In this study, a new …
selection are important tasks to achieve higher classification accuracy. In this study, a new …