A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

Li Cao; Wen Chen; Jun Xiao

doi:10.4028/www.scientific.net/AMR.186.11

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 186A Vision-Based Gap Detection Method during the...

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

Abstract:

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

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Periodical:

Advanced Materials Research (Volume 186)

Pages:

11-15

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.186.11

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Online since:

January 2011

Authors:

Li Cao, Wen Chen, Jun Xiao

Keywords:

Composite Material, Gap Measurement, Line Scanning, Surface Texture

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References

[1] Liang Bin: Low Cost Manufacturing Technology of Resin Matrix Composites for Aeronautical Application, Materials Review Vol. 23(2009), p.77.

Google Scholar

[2] Shahriar Setoodeh, Zafer Gürdal, Layne T. Watson: Design of variable-stiffness composite layers using cellular automata, Computer Methods in Applied Mechanics and Engineering Vol. 195(2006), p.836.

DOI: 10.1016/j.cma.2005.03.005

Google Scholar

[3] C.S. Lopes, P.P. Camanho, and Z. Gürdal, et al.: Progressive failure analysis of tow-placed, variable-stiffness composite panels, AIAA (2007), p.2007 also International Journal of Solids and Structures Vol. 44(2007), p.8493.

DOI: 10.1016/j.ijsolstr.2007.06.029

Google Scholar

[4] Lee. E Kitson, North Hill, Dennis K. Rock, et al., U.S. Patent 5, 562, 788. (1996).

Google Scholar

[5] P.A. Fomitchov, A.K. Kromin, S. Krishnaswamy, J.D. Achenbach: Imaging of damage in sandwich composite structures using a scanning laser source technique, Composites B Vol. 35 (2004), p.557.

DOI: 10.1016/j.compositesb.2004.04.007

Google Scholar

[6] S. Kharkovsky, A.C. Ryley, V. Stephen, and R. Zoughi: Dual-Polarized Near-Field Microwave Reflectometer for Noninvasive Inspection of Carbon Fiber Reinforced Polymer-Strengthened Structures, IEEE Trans. Instrument. & Measur. Vol. 57(2008), p.168.

DOI: 10.1109/tim.2007.909497

Google Scholar

[7] R. W. Engelbart, S. T. Holmes and C. Walters, U.S. Patent 7, 171, 033 B2. (2007).

Google Scholar