A robust and accurate automated registration method for turbine blade precision metrology

A robust and accurate automated registration method for turbine blade precision metrology Turbine blades with complex features are a critical part of turbomachinery, and the manufacture of geometric dimensions and tolerances is strictly controlled to ensure the efficiency and safety of the engines. Precision inspection under current industry practices is challenging and inefficient; however, inspection with an optical device is a promising technique. One key task involved is registration that aligns the measurements to the part model to achieve a fast and automatic inspection process. We present robust and accurate coarse and fine automated registration methods for turbine blade precision metrology. An iterative scan strategy is used to obtain sufficient point clouds to construct curves and surfaces using a B-spline method for registration. Then, principal axes of the reconstruction surface of the blade are calculated, and a principal component analysis (PCA)-based coarse registration method is used. The coarse alignment of the measurement data and the computer-aided design (CAD) model are optimized by fine registration using a common iterative closest point (ICP) algorithm. In this step, the signal-to-noise ratio is incorporated in the transformation of correspondence sets to reduce or remove the noise of outliers. These techniques have been implemented in a four-axis blade inspection system with a point-based conoscopic holography sensor. The results of measurement simulation experiments and inspection case studies indicate that the presented registration method is robust and accurate. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

A robust and accurate automated registration method for turbine blade precision metrology

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag London Ltd., part of Springer Nature
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-018-2173-9
Publisher site
See Article on Publisher Site

Abstract

Turbine blades with complex features are a critical part of turbomachinery, and the manufacture of geometric dimensions and tolerances is strictly controlled to ensure the efficiency and safety of the engines. Precision inspection under current industry practices is challenging and inefficient; however, inspection with an optical device is a promising technique. One key task involved is registration that aligns the measurements to the part model to achieve a fast and automatic inspection process. We present robust and accurate coarse and fine automated registration methods for turbine blade precision metrology. An iterative scan strategy is used to obtain sufficient point clouds to construct curves and surfaces using a B-spline method for registration. Then, principal axes of the reconstruction surface of the blade are calculated, and a principal component analysis (PCA)-based coarse registration method is used. The coarse alignment of the measurement data and the computer-aided design (CAD) model are optimized by fine registration using a common iterative closest point (ICP) algorithm. In this step, the signal-to-noise ratio is incorporated in the transformation of correspondence sets to reduce or remove the noise of outliers. These techniques have been implemented in a four-axis blade inspection system with a point-based conoscopic holography sensor. The results of measurement simulation experiments and inspection case studies indicate that the presented registration method is robust and accurate.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: May 29, 2018

References

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