In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

Tool wear prediction was significant for improving processing efficiency, ensuring product
quality and reducing tool costs in manufacturing. In this paper, a novel deep learning …

Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. This is typically accomplished using indirect TCM methods that …

Rapid evolution in sensing, data analysis, and industrial internet of things technologies had
enabled the manufacturing of advanced smart tooling. This has been fused with effective …

The computer numerical control (CNC) machine has recently taken a fundamental role in the
manufacturing industry, which is essential for the economic development of many countries …

Tool Condition Monitoring systems are essential to achieve the desired industrial
competitive advantage in terms of reducing costs, increasing productivity, improving quality …

Chatter stability in machining flexible parts depends directly on the structural dynamics of the
workpiece. This paper proposes a novel two-stage framework that combines finite element …

Cylindrical parts are widely used in the manufacturing industry, eg, in making shafts. Such
parts are typically machined on lathes by clamping the part on one end and removing …

Tool wear prediction during machining is of significant interest for the development of
intelligent functionalities in manufacturing industry. A data-driven Bayesian Monte Carlo …

Over the past six decades, many companies have discovered the potential of computer-
controlled systems in the manufacturing industry. Overall, digitization can be identified as …