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 …

Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification

MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …

Development of tool condition monitoring system in end milling process using wavelet features and Hoelder's exponent with machine learning algorithms

T Mohanraj, J Yerchuru, H Krishnan, RSN Aravind… - Measurement, 2021 - Elsevier
An effort was made to monitor the flank wear using wavelet analysis by extracting the
Hoelder's exponent as a feature and using various machine learning algorithms to forecast …

Effective multi-sensor data fusion for chatter detection in milling process

MQ Tran, MK Liu, M Elsisi - ISA transactions, 2022 - Elsevier
This paper introduces a newly developed multi-sensor data fusion for the milling chatter
detection with a cheap and easy implementation compared with traditional chatter detection …

The concept and progress of intelligent spindles: a review

H Cao, X Zhang, X Chen - International Journal of Machine Tools and …, 2017 - Elsevier
Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …

Chatter detection methods in the machining processes: A review

WK Wang, M Wan, WH Zhang, Y Yang - Journal of Manufacturing …, 2022 - Elsevier
Chatter is a self-excited vibration phenomenon occurring in the cutting process, and the
onset of chatter will result in the worse machined surface and the redistribution of frequency …

Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis

MQ Tran, M Elsisi, MK Liu - Measurement, 2021 - Elsevier
Feature selection represents the main challenge against the classification strategies for
several applications of signal processing. Besides, the high computational speed and …

Milling chatter detection by multi-feature fusion and Adaboost-SVM

S Wan, X Li, Y Yin, J Hong - Mechanical Systems and Signal Processing, 2021 - Elsevier
Unstable chatter vibration in the milling process significantly affect the machining quality and
efficiency. In order to suppress or avoid the chatter vibration in the cutting operation …

Advanced data collection and analysis in data-driven manufacturing process

K Xu, Y Li, C Liu, X Liu, X Hao, J Gao… - Chinese Journal of …, 2020 - Springer
The rapidly increasing demand and complexity of manufacturing process potentiates the
usage of manufacturing data with the highest priority to achieve precise analyze and control …