crossrefMachines2026-04-06
Hybrid-Mechanism Deep Learning Modeling for Machine Tool Thermal Error: Robust Prediction via Few-Sample Learning
Hongru Chen, Yubin Huang, Chaochao Qiu, Xueyan Ning, Pingjiang Wang, Ke Yang
To address spindle thermal error in precision machining, this study proposes a hybrid modeling method. It combines a physical model for linear deformation with a GAT-LSTM network. Experiments show the hybrid model achieved RMSE/MAE of 4.6/4.0 µm under full training (12 conditions…