Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …
significant attention in professional manufacturing. This trend originates from the rising …
[HTML][HTML] 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 …
Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification
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 …
learning neural network (DNN) algorithm for the online monitoring of computer numerical …
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis
Feature selection represents the main challenge against the classification strategies for
several applications of signal processing. Besides, the high computational speed and …
several applications of signal processing. Besides, the high computational speed and …
Milling chatter detection using scalogram and deep convolutional neural network
In this paper, a novel approach of the real-time chatter detection in the milling process is
presented based on the scalogram of the continuous wavelet transform (CWT) and the deep …
presented based on the scalogram of the continuous wavelet transform (CWT) and the deep …
A novel transfer learning framework for chatter detection using convolutional neural networks
Detection and avoidance of regenerative chatter play a crucial role in ensuring the high
quality and efficiency of machining operations. Predominant analytical approaches provide …
quality and efficiency of machining operations. Predominant analytical approaches provide …
[HTML][HTML] Effective optimization based on equilibrium optimizer for dynamic cutting force coefficients of the end-milling process
This study aims to develop an accurate dynamic cutting force model in the milling process. In
the proposed model, the estimated cutting force tackles the effect of the self-excited vibration …
the proposed model, the estimated cutting force tackles the effect of the self-excited vibration …
[HTML][HTML] Machine-Learning-and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review
S Kasiviswanathan, S Gnanasekaran… - Journal of Sensor and …, 2024 - mdpi.com
Tool condition monitoring (TCM) systems have evolved into an essential requirement for
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …
Estimation of process damping coefficient using dynamic cutting force model
A model of process damping in milling was developed in this study. The process damping is
a critical parameter to increase the stable cutting region at low cutting speed to avoid chatter …
a critical parameter to increase the stable cutting region at low cutting speed to avoid chatter …
Chatter identification in end milling process based on cutting force signal processing
During milling process, chatter is one of the major limitations of productivity, it has more
negative effects on the surface finish, dimensional accuracy and tool life. It is thus necessary …
negative effects on the surface finish, dimensional accuracy and tool life. It is thus necessary …