Spline Smoothing Algorithm Based on Improved Wavelet Model
In the process of NC machining data transmission,there are some phenomena such as packet loss and noise interference,which lead to the error of data point.In view of the existing methods,most of the error correction can only be applied to the plane,and basically only to a single section of the large arc correction.A space whole fairing processing method was proposed.In this method,the details were separated by wavelet fairing,the correction factors were defined,and then the details were corrected with the improved grey wolf particle optimization algorithm with local self-test effect.A new sparse model was constructed for the discrimination of fairing effect.The experimental results show that the proposed method can be used not only in the case of multiple arcs,but also in the smoothing of space splines.
NC machiningimproved grey wolf particle optimizationwavelet decompositionspline fairing
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