Thermal error modeling of spindle and dynamic machining accuracy reliability analysis of CNC machine tools based on IA and LHSMC

Machining accuracy reliability as a key index of CNC machine tools is seriously influenced by the geometric and thermal errors. In paper, spindle unit error modeling machining analysis method proposed. By analyzing heat generation mechanism, model was developed to describe deformation electric spindle. Based on immune algorithm (IA), power transfer coefficient were optimized, obtained finite element thermal-mechanical coupling. adopting multi-body system theory (MBS), dynamic put forward including Latin hypercube sampling Monte Carlo (LHSMC), proposed characterize considering The employed tool, experimental results indicate verification superiority method.