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 …

As one of the most important terminals in machining, cutting tools have been widely used for
components manufacturing in aerospace and other industries. The quality of these …

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 …

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 …

Feature selection represents the main challenge against the classification strategies for
several applications of signal processing. Besides, the high computational speed and …

To improve the finish and efficiency of machining processes, researchers set out to develop
techniques to detect, suppress, or avoid vibration chatter. This work involves tracing chatter …

Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …

Chatter detection from sensor signals has been an active field of research. While some
success has been reported using several featurization tools and machine learning …

Roll grinder is widely demanded in grinding the surface of rolls that will be used to mill steel
strips for high-quality automobile outer panels. The grinding chatter generally leads to poor …

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 …