This invention discloses a multi-
level mapping method for characterizing
machine tool accuracy degradation and optimizing its key parameters, belonging to the field of
machine tool accuracy retention technology. This method constructs a complete technical framework of forward modeling and prediction followed by reverse parameter optimization, achieving quantitative prediction and proactive control of
machine tool accuracy retention throughout its entire lifecycle through four-
level mapping. First, based on the small displacement screw method and
multibody system theory, a whole-machine spatial accuracy model considering geometric errors at large
assembly interfaces is constructed. Second, combining numerical
simulation, the Arcard wear model, and the
superposition method, a time-varying degradation model of guideway straightness under multi-
physics coupling is established. Third, by integrating the straightness and perpendicularity degradation laws, a time-varying equation for whole-machine spatial accuracy is derived, clarifying the mapping relationship of multi-level time-varying factors. Finally, using the accuracy degradation rate as an evaluation index, the
machining and
assembly process parameters are optimized through reverse derivation, forming a closed-
loop optimization system. This invention is of great significance for improving the accuracy retention of high-end CNC machine tools.