Thermal error prediction for a five-axis machine-tool feed system using error decoupling and data–mechanism integrated modeling
Thermal-error prediction models for machine-tool feed systems can benefit from combining mechanistic knowledge with data-driven learning, but the respective roles of the two components are often unclear. This study presents an error-decoupling based data–mechanism integrated modeling method. A first-order Taylor term...