Tool wear is inevitable in cutting process. If tool wear failure is not detected in time, it will
lead to abnormal cutting process and affect the machining efficiency and quality seriously …

This article reviews and analyzes the approaches utilized for monitoring cutting tool
conditions. The Research focuses on publications from 2012 to 2022 (10 years), in which …

Automatic moving object classification has become more important in modern intelligent
detection and visual monitoring systems. Moving object recognition from pictures and …

This study aims to develop a methodology for identifying the settings that provide the best
results during a computer numerical control (CNC) turning operation. The efficiency of the …

The high demand for machining process automation has placed real-time tool condition
monitoring as one of the top priorities of academic and industrial scholars in the past …

Cutting tool health monitoring (THM) is of great practical significance to estimate the tool life
to enhance productivity, machining efficiency and reduce machine tool downtime. Therefore …

Tool wear has been a great impact on machining quality and machining efficiency during
cutting. The serious tool wear will even lead to workpiece failure and catastrophic equipment …

In this present paper, the machine learning approach is used to optimize, model, and predict
the factors during drilling Nimonic C263 under dry mode. Nimonic C263 is tough to machine …

The surface roughness is a feature that is of tremendous relevance in the assessment of
cutting performance, and it plays an essential part in the manufacturing process as well. In …

Manufacturing sector is always looking for higher level of automation in various operations.
However, a few key challenges affects the whole machining process from being fully …