Sampling point planning method for thin-walled blades considering processing deformation

In this paper, a sub-regional sampling point planning method considering processing deformation is proposed. First, the number of sections and the position of the blade section curve are determined. Second, the processing deformation of the blade is predicted, and the section curve is divided into regions according to the deformation size. Then, the chordal deviation value is set according to the corresponding curvature and processing deformation of each region, and the chordal deviation method is used to determine the sampling points. Finally, the measuring points in each region are comprehensively extracted, and the experimental verification is carried out. The experimental results show that compared with the traditional chordal deviation method without considering the processing deformation, the maximum deviation of the overall fitting of the blade is reduced by 59.33% and the average deviation is reduced by 16.50% when the total number of sampling points is reduced by 18.97%. The proposed method not only conforms to the blade curvature characteristics, but also matches the processing deformation, which improves the efficiency and accuracy of blade on-machine measurement.