Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

Milling is a high-performance method that allows an efficient machining of both flat and
complexly shaped surfaces. During the milling process, the cutting tool (cutters), its cutting …

Characterizing the electric energy curve can improve the energy efficiency of existing
buildings without any structural change and is the basis for controlling and optimizing …

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 …

In modern manufacturing process, tool condition significantly affects work efficiency,
machinery downtime and operating profit. Convolutional neural network (CNN), recurrent …

Acoustic emission is a nondestructive control technique as it does not involve any input of
energy into the materials. It is based on the acquisition of ultrasonic signals spontaneously …

With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …

Effective tool wear monitoring (TWM) is essential for maintaining high quality and efficiency
of cutting operations, preventing defective parts, and minimising economic losses. However …

During milling operations, wear of cutting tool is inevitable; therefore, tool condition
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …