LAUSR

Abstract The surface of aeroengine blades has geometrical complexity and its measurement accuracy directly affect the assessment correction of the different machining processes. A NURBS based parametric model was employed to represent the geometry of blade surface for evaluating deviation between ideal model and measurement model. In view of the various curvature at the different blade region, an adaptive surface sampling strategy with bending moment theory is proposed. The distribution and number of the check points can be determined adaptively and accurately in accordance with geometrical feature altering. The accuracy and effectiveness of the proposed method were validated through simulations. Case studies involving comparing with bidirectional isoparametric method, equal area method and hammersley sequence method showed that the deviation between the measured blade surface and its reconstructed model using the developed method is the least among all the methods while the numbers of the selected check points are the same.