3D Model Reconstruction of the Broken Aeroengine Blade Based on the Laplacian of Guassian Detection

Miao Gong; Hao Wang; Li Wen Wang

doi:10.4028/www.scientific.net/AMR.490-495.143

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3D Model Reconstruction of the Broken Aeroengine Blade Based on the Laplacian of Guassian Detection
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-4953D Model Reconstruction of the Broken Aeroengine...

3D Model Reconstruction of the Broken Aeroengine Blade Based on the Laplacian of Guassian Detection

Abstract:

This paper made the 3D model reconstruction of the J34 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the Laplacian of Guassian Detection was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

143-146

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.143

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Online since:

March 2012

Authors:

Miao Gong, Hao Wang, Li Wen Wang

Keywords:

3D Model Reconstruction, Aeroengine Turban Blade, Grayscale Algorithm, J34

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