Precise Classification of Point Clouds from the Blade Section and the Chord Length Feature Extraction

Hua Li Li; Qi Long Liang; Jun Chao Zhang; Ting Ting Wang; Jun Zhou

doi:10.4028/www.scientific.net/AMR.1049-1050.1490

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Precise Classification of Point Clouds from the...

Precise Classification of Point Clouds from the Blade Section and the Chord Length Feature Extraction

Abstract:

For some special blade section, an accurate partitioning algorithm for feature point cloud is presented to avoid the drawbacks of traditional convex hull algorithm. On this basis, the method based on graph transformation is used to extract the chord length. The experimental results show that these two algorithms have strong generality, high accuracy and efficiency, can meet the testing requirements of blades.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1490-1495

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1490

Citation:

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Online since:

October 2014

Authors:

Hua Li Li*, Qi Long Liang, Jun Chao Zhang, Ting Ting Wang, Jun Zhou

Keywords:

Blade Section, Chord Length, Graph Transformation, Point Cloud

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* - Corresponding Author

References

[1] G. Chen: Structural Design and Analysis of Aero Engine (Beijing University of Aeronautics and Astronautics Press, Beijing 2006).

Google Scholar

[2] Z.Q. Wang: Turbo Machinery Blade Design System. (1999) No. 2, pp.332-336.

Google Scholar

[3] D.G. Kirkpatrick, R. Seidel: SIAM Journal on Computing. Vol. 15 (1986) No. 1, pp.332-336.

Google Scholar

[4] Z.Q. Chen, D.H. Zhang and Y.F. Jin: Science Technology and Engineering. Vol. 7 (2007) No. 9, p.1972-(1975).

Google Scholar

[5] W.J. Wang: Development of Blade Inspection System Based on Surfacer (MS. ，University of the South，China 2008).

Google Scholar

[6] Y.J. He: Journal of Computer Aided Design & Computer Graphics. Vol. 17 (2005) No. 7, pp.723-728.

Google Scholar

[7] R.R. Martin, I.A. Stroud and A.D. Marshal: Computer and Automation Institute of Hungarian Academy of Science. Vol. 1068 (1996), p.1972-(1975).

Google Scholar

[8] Z.G. Peng, W.L. Li: Equipment Manufacturing Technology. (2005) No. 7, pp.723-728.

Google Scholar

[9] J. Zhu, X.F. Li, W.B. Tan, H.B. Xiang and C. Chen: Options and Precision Engineering. Vol. 17 (2009) No. 10, pp.2486-2492.

Google Scholar