Advanced technologies for the calibration of machine tools are presented. Kinematic errors
independently of their causes are classified into errors within one-axis as intra-axis errors …

This paper provides a chronological review of publications that implement and advance the
receptance coupling substructure analysis (RCSA) approach first applied to tool tip …

An accurate description of machine tool dynamics is essential for health monitoring, chatter
prevention, and improvement of manufacturing accuracy. The standard identification …

The state prediction of key components in manufacturing systems tends to be risk-sensitive
tasks, where prediction accuracy and stability are the two key indicators. The physics …

Process monitoring in high-speed machining (HSM) is essential to guarantee product quality
and improve manufacturing efficiency. Nevertheless, the data acquired from practical …

Deep learning methods have attracted considerable attention in the field of chatter detection
due to their exceptional feature extraction and identification capabilities. However, it is …

This paper describes a milling stability identification approach that simultaneously
considers: physics-based models for the tool tip frequency response functions and stability …

Data-driven modelling has shown promising potential in many industrial applications, while
the expensive and time-consuming labelling of experimental and simulation data restricts its …

Accurate prediction of the force on the cutting tool and workpiece is of great significance for
the micro-milling process safety. To improve the machining precision and the sustainability …

Thin-walled parts are susceptible to deformation and chatter in milling due to their low
rigidity, which can negatively affect machining quality and efficiency. Deformation induced …