Error Analysis And Compensation Of Double - Screw Drive Linear Feed System

Dual-screw-driving is a key part of feed system of CNC machine tool which more and more applied to practical production, since it has these advantages, such as improving system stiffness, reducing the vibration of the system and improving the system response. By taking dual-screw-driving of feed system as a research example, analyzed the mechanism of non-synchronous error, studied the concrete influence law on non-synchronous error caused by main factors through computer simulation software, then, changed the guide span and pre-tightening force in order to realize non-synchronous error prevention and compensation, and finally, verified the correctness of the simulation analysis by the experiment.Firstly, equivalent models of non-synchronous error were established based on system dynamics analysis, several main factors were found through MATLAB/Simulink simulation, such as interface stiffness, lead error, cutting force, thermal deformation, providing the research direction of non-synchronous error in theory.Secondly, simulation models of dual-screw-driving were established based on ANSYS and Adams, the specific relationship between the four factors and non-synchronous error, in order to prove the correctness of error model, analyzed the change law of interface stiffness, thermal deformation and non-synchronous error based on the finite element, studied the relationship between lead error, cutting force and non-synchronous error based on structure dynamic simulation.Thirdly, the non-synchronous error was reduced from the perspective of error prevention and compensation, by taking MCH63 as the research object, the error prevention and compensation were designed and proved by Simulink software.Finally, designing test plan to verify the validity of the simulation analysis. Measuring the non-synchronous error of MCH63 by the use of Renishaw, comparing the analysis results and test results, the growth of finite element simulation and experimental were within 13.83% and present fluctuant decrease trend, which that proved the correctness of the analysis in theory and Simulink.