The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …

Nickel based super alloys are considered as difficult to machine materials. These days, the
sustainable cooling system are applied at the cutting zone for enhancing the machining …

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

Abstract Machine learning (ML) is a subfield of Artificial Intelligence (AI) that uses data,
learns the hidden pattern from the data, and makes predictions for future instances with …

With increasing regulations about global warming, environmental pollution, and climate
change, reducing carbon emissions from energy-intensive industrial activities routes to …

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

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 …

In the manufacturing process, in addition to the properties of material itself, the quality of a
product is directly related to the cutting process. Cutting force and cutting heat are two …

Surface roughness is considered as an important measuring parameter in the machining
industry that aids in ensuring the quality of the finished product. In turning operations, the …