In this paper, comprehensive analysis has been carried out to seek out the effective features
which can reveal the tool conditions when turning 50# normalized steel. Tool failure …

The monitoring of tool wear status is paramount for guaranteeing the workpiece quality and
improving the manufacturing efficiency. In some cases, classifier based on small training …

Machined surface quality and dimensional accuracy are significantly affected by tool wear in
machining process, and severe tool wear may even lead to failing of the workpieces being …

Wear is one of the main forms of tool failure during machining. The prediction of tool wear is
of great significance for ensuring the high quality of the workpiece. In order to improve …

One of the essential elements of automated and intelligent machining processes is
accurately predicting tool life. It also helps in achieving the goal of producing quality …

In the process of high strength steel turning, tool wear will reduce the surface quality of the
workpiece and increase cutting force and cutting temperature. To obtain the fine surface …

The development of tool wear monitoring system for machining processes has been well
recognised in industry due to the ever-increased demand for product quality and productivity …

When neural networks are used to identify tool states in machining processes, the main
interest is often the recognition ability. It is usually believed that a higher classification rate …

In the current industry 4.0 scenario, good quality cutting tools result in a good surface finish,
minimum vibrations, low power consumption, and reduction of machining time. Monitoring …

Tool wear is a dynamic process, as a tool progresses from sharp to worn state and possibly
to breakage. Thus the multiclassification of tool states is preferred, which can provide more …