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Optimal sampling strategy for aero-engine blade inspection with coordinate measuring machine[J]. Journal of Aerospace Power, 2019, 34(1): 168-176. doi: 10.13224/j.cnki.jasp.2019.01.019
Citation: Optimal sampling strategy for aero-engine blade inspection with coordinate measuring machine[J]. Journal of Aerospace Power, 2019, 34(1): 168-176. doi: 10.13224/j.cnki.jasp.2019.01.019
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Optimal sampling strategy for aero-engine blade inspection with coordinate measuring machine

doi: 10.13224/j.cnki.jasp.2019.01.019
  • Received Date: 2018-03-07
  • Publish Date: 2019-01-28
    Abstract
  • In view of the inefficiency of inspecting aero-engine blades with coordinates measuring machine, unified mathematical descriptions of common sampling algorithms were proposed based on lever system, meanwhile, an optimal sampling algorithm for airfoil surfaces inspection with coordinate measuring machine was presented. By introducing torsion information, the curvature-arc sampling algorithm was appropriate to space curves, and based on this, the algorithm for sampling cross sections on the blade surface through the leading and the trailing edge curves was proposed. And the optimization method of weights in curvature-arc sampling was researched also. Finally, several experiments for different blades were implemented, and the comparisons of optimal sampling points reconstruction errors with those of equal-parameter sampling, equal-arc sampling, curvature-based sampling, equal-deviation sampling and weighted curvature-based sampling were made. The results indicate that the accuracy of optimal sampling is 11.2% higher at least. And the number of optimal sampling points is 92.3% less than equal-step sampling which is used widely in practice.

     

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