Sampling Point Planning and Compensation Method for Thin-walled Blades Considering Both Curvature and Processing Deformation
The thin-walled blades are prone to machining deformation,and the traditional on-machine inspection method does not consider the machining deformation,resulting in the sampling points not being able to truly reflect the machining situation.Therefore,this paper proposes a sub-regional sampling point planning and image compensation method considering both curvature characteristics and machining deformation.First,the blade is divided into sections,and the number of sections and the position of the section line are determined.Second,the processing deformation of the blade is predicted,and the section line is divided into regions according to the deformation size.Then,the chord deviation value and the number of sampling points are set according to the corresponding curvature and processing deformation of each region,and the chord deviation method is used to determine the sampling points,the measuring points in each region are comprehensively extracted,and the experimental verification is carried out.Finally,the image compensation method is used to improve the blade machining accuracy.The experimental results show that compared with the traditional chord deviation method without considering the processing deformation,the maximum deviation of the overall fitting of the blade is reduced by 37.5％and the average deviation is reduced by 16.3％when the total number of sampling points is reduced by 18.8％.After compensation,the overall deviation of the blade is reduced by 65.2％.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 inspection.
thin-walled bladeson-machine measurementsampling point planningprocessing deformation
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NSTL
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