Surface reconstruction for thin aero engine blade from disorganized contact measured points

Abstract

Blade surface reconstruction is one of the necessary steps in blade adaptive machining system. The majority of the current reconstruction methods are based on point-cloud, which is obtained using noncontact measurements. Correspondingly, these methods are invalid when the points are obtained using contact measurements. In this paper, we studied the method of surface reconstruction for thin features based on measured contact points. Owing to the random order of the measured points, and the fact that when the distance between two measured points is larger than the wall thickness of the blade will lead to interpolation errors, a quad tree-based region division method, and a points sorting algorithm, are proposed for correctly ordering the points. On this basis, inverse interpolation of cross-sectional curves using a cubic NURBS curve is used to fit them and reconstruct surfaces. Surface reconstruction examples are presented herein, and a comparison between the reconstructed and designed surfaces is used to verify the validity of our method.

Aero-engine blade profile reconstruction based on adaptive step size bat algorithm and visualization of machining error

“…In engineering applications, the machining quality of aero-engine blade profile is usually measured by CMM which has the characteristics of high precision, good repeatability and strong versatility. 13 In this paper, the z-axis equal height method is used to measure the points on a series of cross-section planes perpendicular to the z-axis. In order to improve the accuracy and efficiency of the subsequent profile reconstruction, it is required that the distribution of the measurement points in each layer conforms to the curvature change of the cross-section line.…”