In turning operations, the wear of cutting tools is inevitable. As workpieces produced with
worn tools may fail to meet specifications, the machining industries focus on replacement …

This paper presents a review of the application of neuro-fuzzy systems (NFS) in business on
the basis of the research articles issued in various reputed international journals and …

Tool wear is a detrimental factor that affects the quality and tolerance of machined parts.
Having an accurate prediction of tool wear is important for machining industries to maintain …

Tool wear detection is a key issue for tool condition monitoring. The maximization of useful
tool life is frequently related with the optimization of machining processes. This paper …

One of the major objectives of international projects in the field of Industrial Automation is to
achieve a proper and safe human-robot collaboration. This will permit the coexistence of …

In recent years, digitalization has taken an important role in the manufacturing industry.
Digital twins (DT) are one of the key enabling technologies that are leading the digital …

In this study, the least squares support vector machines (LS-SVM) and Kalman filter (KF)
technique are used to establish the tool wear estimation model. Tool wear prediction model …

Flank wear occurs on the relief face of the tool and the life of a tool used in a machining
process depends upon the amount of flank wear; so predicting of flank wear is an important …

Machining is the major reliable practice in accomplishment of metal cutting industries. The
accelerated growing competition demands top superior and large quantity with low cost …

This paper describes the development of a machine vision system for automated tool wear
inspection. The proposed approach measures the tool wear region based on the active …