Dynamic positioning error multi-factor hybrid analysis and modeling of CNC XY worktable

As the core component of CNC machine tools, the positioning accuracy of the XY worktable directly determines machining performance. Current research mainly focuses on single-factor error analysis, lacking comprehensive investigation on multi-factor coupling effects including cutting force, cutting point position, movement speed, and guide rail spatial position. To improve machining accuracy, this paper takes the XY worktable as the research object, reveals the multi-factor dynamic positioning error mechanism, and establishes a comprehensive error model integrating angle error, guide rail system error, and ball screw system error. Theoretical calculation, simulation, and laser interferometer experiments are conducted under different working conditions. Results show that there exists an optimal measurement speed to minimize dynamic error; the variation trends of theoretical, simulated, and experimental errors are consistent. After error compensation, the positioning error is reduced by 40.04%, which validates the effectiveness of the proposed model.