Processing Method Of Measure Points For Special Airfoil Blade And Development Of Test Software

Turbine guide vane is a key component of aero-engine.It has been used in high temperature and high pressure for a long time.Its manufacturing accuracy directly affects the service performance of aero-engine.In the new generation of aero-engine,the turbine guide vane has developed from the traditional single blade to the double / quadruple blade.Compared with the traditional blade,a large number of non profile measuring points such as runner line measuring points and overflow measuring points are introduced in the multi connected structure,which greatly increases the complexity of measuring point data processing.At the same time,a large number of film holes are distributed around the blade,which leads to the discontinuity of the measurement data.In order to solve the above problems,this paper takes the multi turbine guide vane as the research object,focusing on the segmentation of multi section measuring points,the recognition and deletion of non contour measuring points,and the stable matching method of constrained blade profile(1)The pretreatment method of multi turbine guide vane was studied.Based on the density and connectivity of measuring points,the method of identifying and deleting non profile measuring points of blade profile is studied.According to the normal dispersion degree of clustering measuring points,the measuring points of profile and runner line are distinguished.The overflow measuring points of profile are deleted by three-point fast matching method,and the section measuring points are fitted and the curvature is calculated,By integrating the curvature of the measuring points and the theoretical coordinates of the film holes,the concave measuring points of the film holes can be identified,and the fast and stable pretreatment of the measuring points of the multi turbine guide vane can be realized.(2)The optimization method of blade profile matching with contour constraint is studied.According to the principle of minimum region,the objective function for optimizing the maximum profile deviation of blade profile measuring points is established,and the smooth approximation method of non differentiable function based on maximum entropy principle is studied.The Levenberg Marquardt(L-M method)nonlinear iterative method is used to solve the transformation matrix of measuring points matching optimization,The least square method is used to optimize the profile position and pose of the blade whose rear wheel profile is slightly out of tolerance at the edge of tolerance zone.(3)The software ipoint3 d blade was developed to analyze and evaluate the measuring points of multi turbine guide vane.The data processing modules of multi blade segmentation,overflow point deletion,gas film hole identification and blade profile matching optimization are developed.The abnormal processing mechanism of batch analysis and evaluation of measurement points is designed.The storage and management method of blade detection data and results is studied.The automatic processing process of large batch blade detection data is constructed from blade measurement point reading,measurement point preprocessing,matching evaluation to report output,To realize the batch automatic and efficient processing of multi turbine guide vanes.(4)The measurement points processing and analysis experiments of multi turbine guide vane were carried out.The verification experiment of multi blade measuring point segmentation / overflow point deletion / film hole recognition function,the comparison experiment of blade profile measuring point matching optimization and the comparison experiment of batch automatic processing efficiency of multi batch blade profile measuring points were carried out.The experimental results show that ipoint3 d blade software can overcome the interference of non profile measuring points of turbine guide blade,the qualification rate of measured samples after matching optimization is 5.9% higher than that of traditional methods,and the detection efficiency is more than 90% higher than that of traditional manual processing,which has been successfully applied to the actual production of a company of China Aviation Development Corporation..