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A case study of blade inspection based on optical scanning method

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  • Wen-long Li
  • Li-ping Zhou
  • Si-Jie Yan

Abstract

Blades play an important role in aviation engine, gas turbine and jet engine. Inspecting the blade by optical method is a meaningful work in manufacturing industry. During optical inspecting process, one common problem encountered is that the scanned point cloud is large scale and noisy. In this paper, we present a systematic introduction of simplification, smoothing and parameter extraction with respect to point-sampled blades. First, the moving least square surface is applied to create a geometric deviation, which is used to subdivide and cluster the point cloud. Then, the information entropy in k-neighbourhood is defined to smooth point-sampled surface, meanwhile preserving high curvature feature. Furthermore, the computation method of single/multi section parameters is presented, and test experiments are performed in iCloud3D Blade V1.0. Experimental results demonstrate the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Wen-long Li & Li-ping Zhou & Si-Jie Yan, 2015. "A case study of blade inspection based on optical scanning method," International Journal of Production Research, Taylor & Francis Journals, vol. 53(7), pages 2165-2178, April.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:7:p:2165-2178
    DOI: 10.1080/00207543.2014.974851
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