Physics-informed Bayesian inference for milling stability analysis

The accurate prediction of chatter stability in milling operations is a continuous pursuit of manufacturing engineering. Physical-based stability analysis methods suffer from inaccurate model parameters, while data-driven methods lack generalisability and physical interpretability. This study proposes a physics-informed Bayesian inference framework for milling stability analysis. The framework leverages experimental data to infer the...