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Proceedings of CAD'14, 2014, 209-211
Integrated Computer‐aided Verification of Turbine Blade
K. M. Yu, The Hong Kong Polytechnic University
Abstract. Computer-aided verification plays an important role in turbine blade quality control as it provides a valid means to quantify the blade geometry and thereby governs the engine performance. However, this dependency on measurement accuracy could raise significant problems and present a major drawback if the computer-aided verification results were inaccurate. Makem et al presents an simulation approach to assess the dimensional accuracy and shape quality of aerodynamic turbine blades formed from hot-forging. They proposed a virtual inspection system using essentially the 3–2–1 approach and Iterative Closest Point (ICP) localisation algorithms to provide a virtual error assessment framework. The 3–2–1 approach relies on six (=3+2+1) distinct points for point clouds captured from different perspectives to be merged into one. However, a minimal of three instead of six corresponding points can be used for coordinate frame registration. Moreover, feature point is difficult to be identified among the point cloud whether manually or automatically. The ICP approach employed by the inspection system uses a binary search tree based nearest neighbour algorithm to locate corresponding points between the forged model and the nominal model. For processing the point cloud with the ICP algorithm, the computation is demanding and local minima may exist that leads to non-global convergence.
Keywords. Turbine blade, point-cloud registration k-d tree, reverse engineering