Ihsan Uluocak

Bayesian-optimized hybrid CNN–RNN framework for high-fidelity prediction of spindle thermal deformation in CNC machine tools

Thermal drift is a major source of dimensional inaccuracy in CNC machine tools. This study presents an integrated framework that combines finite element (FE) thermal validation, synchronized multi-sensor temperature and displacement measurements, and Bayesian optimization of hybrid deep learning architectures for axi...