Metal-based laser additive manufacturing (MLAM) is receiving significant attention in
industrial fields due to its capacity to manufacture complex and high-performance metal …

On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

Surface defect recognition using Deep Learning based computer vision techniques is an
important task in industrial manufacturing. However, surface images have different …

In this review, some of the latest applicable methods of machine learning (ML) in additive
manufacturing (AM) have been presented and the classification of the most common ML …

The tool condition has been a major concern in modern computer numerical control (CNC)
machining due to its direct effects on the quality of final product both in the surface and …

Tool wear affects tool life, dimensions, etc. However, tool wear mechanism was mainly
studied by the relevant references in the sharp wear stage, and tool wear morphology and …

As a critical intermediate material in the iron and steel industry, strip steel will inevitably have
various surface defects during its processing, which directly affects the service performance …

Literature sources have been reviewed, various techniques, methods and software for
investigating fracture of polycrystalline materials have been subjected to the systematic …

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 …

Due to issues such as limited variability in monitoring data across different tool wear
conditions and interference during the machining process, data-driven monitoring models …