Open AccessResearch on the roundness error separation method for precision spindle based on harmonic wavelet de-noise and mathematical statistics method
Author(s) -
Shihai Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/3/033073
Subject(s) - roundness (object) , wavelet , machining , signal processing , harmonic , computer science , compensation (psychology) , algorithm , acoustics , artificial intelligence , engineering , electronic engineering , mechanical engineering , digital signal processing , psychology , physics , psychoanalysis
Based on the online measurement and evaluation technologies of roundness error for precision machine tool spindle, not only the processing quality of spindle component can be evaluated, but also form error and surface roughness of machining workpiece can be forecasted, and then the suitable compensation control methods can be implemented to improve the processing accuracy of workpiece. According to the geometric characteristics of the roundness error, the combinatorial method of mathematical statistics and harmonic wavelet de-noise is proposed to separate the roundness error of the spindle. First, the collected signal by the sensor is filtered by harmonic wavelet de-noise method, and then the roundness error signal is separated by the mathematical statistics method. The simulation analysis shows that the high separating accuracy of roundness error can be obtained even in the case of small sample by the proposed method in the paper.