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IJAT Vol.10 No.2 pp. 179-186
doi: 10.20965/ijat.2016.p0179
(2016)

Paper:

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Direction Estimation and Visualization of Yarns from CT Volumes of SiC Fabric

Yukie Nagai*,† , Yutaka Ohtake*, Hiromasa Suzuki*, Hiroyuki Hishida**, Koichi Inagaki**, and Takeshi Nakamura**

*The University of Tokyo
7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan

†Corresponding author,

**IHI Corporation
229 Tonogaya, Mizuho-machi, Nishitama-gun, Tokyo 190-1297, Japan

Received:
October 2, 2015
Accepted:
January 18, 2016
Online released:
March 4, 2016
Published:
March 5, 2016
Creative Commons License
Keywords:
CMC, X-ray CT, 3D, differentials, direction detection
Abstract
Ceramic matrix composite (CMC) is a material with high thermostability. Since it is lower in weight than metals realizing the same thermostability, it has been attracting increasing attention in many fields. It has an inner fabric structure made of ceramics (SiC), and the yarns of the fabric give this material rather high stiffness in the directions the yarns run. To guarantee the stiffness of the material, it is necessary to inspect the yarns. X-ray CT scanning, a non-destructive inspection technique, is one of the best ways to do this. However, the quality of a CT volume of SiC fabric tends to be very low, and the resolution is generally also low because of the restriction on the time given for the inspection and the relatively large size of CMC parts. This paper presents an algorithm for computing the directions of the yarns in an SiC fabric from a low quality CT volume, and it proposes a way to visualize the computed directions for a better recognition of the directions. It also presents some experimental results that show the effects of the proposed algorithms.
Cite this article as:
Y. Nagai, Y. Ohtake, H. Suzuki, H. Hishida, K. Inagaki, and T. Nakamura, “Direction Estimation and Visualization of Yarns from CT Volumes of SiC Fabric,” Int. J. Automation Technol., Vol.10 No.2, pp. 179-186, 2016.
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References
  1. [1] M. C. Halbig, M. H. Jaskowiak, J. D. Kiser, and D. Zhu, “Evaluation of Ceramic Matrix Composite Technology for Aircraft Turbine Engine Applications,” 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 2013, AIAA 2013-0539.
  2. [2] M. Minami, K. Abe, and M. Nakamura, “Discrimination of Pneumoconiosis X-Ray Images Scanned with a CCD Scanner,” JACIII Vol.16, No.1, pp. 69–75, Jan. 2012.
  3. [3] A. Doi, H. Takahashi, B. Syuto, M. Katayama, H. Nagashima, and M. Okumura, “Tailor-Made Plate Design and Manufacturing System for Treating Bone Fractures in Small Animals,” JACIII Vol.17, No.4, pp. 588–597, July 2013.
  4. [4] H. Fujimoto, M. Abe, S. Osawa, O. Sato, and T. Takatsuji, “Development of Dimensional X-Ray Computed Tomography,” IJAT Vol.9, No.5, pp. 567–571, Sept. 2013.
  5. [5] S. Kobashi, N. Shibanuma, and Y. Hata, “Fuzzy Visual Hull Algorithm for Three-Dimensional Shape Reconstruction of TKA Implants from X-Ray Cone-Beam Images,” JACIII Vol.14, No.2, pp. 122–127, 2010.
  6. [6] A. C. Kak and M. Slaney, “Principles of Computerized Tomographic Imaging,” SIAM, 2001.
  7. [7] J. Hsieh, “Computed Tomography Principles, Design, Artifacts, and Recent Advances,” SPIE Press, 2003.
  8. [8] J. Stein, R. S. Bradley, B. Yu, C. Soutis, and P.J. Withers, “A Three Dimensional Damage Characterisation of Composites Loaded in Tension-Tension Fatigue: A Laboratory X-ray Computed Tomography Investigation,” in Proc. of iCT conference 2014, pp. 67–74, Feb. 2014.
  9. [9] K. Tigkos, K. Bliznakova, A. Dermitzakis, N. Ducros, U. Hassler, Z. Kamarianakis, A. Osman, V. Rebuffel, and M. Tartare, “Simulation study for optimization of X-ray inspection setup applied to CFRP aerostructures,” in Proc. of iCT conference 2014, pp. 75–85, Feb. 2014.
  10. [10] Y. Yamauchi, H. Suzuki, T. Michikawa, Y. Ohtake, K. Inagaki, H. Hishida, and T. Nakamura, “Extracting Woven Yarns of Ceramic Matrix Composite Parts With X-ray CT Scanning,” in Proc. of iCT conference 2014, pp. 87–93, Feb. 2014.
  11. [11] C. Uhry, F. Guillet, P. Duvauchelle, and V. Kaftandjian, “Optimisation of the process of X-ray tomography applied to the detection of defects in composites materials,” in Proc. of DIR 2015, 2015, http://www.ndt.net/events/DIR2015/app/30, mbox 2015content/agenda.php?eventID=29 [accessed Sept. 30, 2015]
  12. [12] R. Stoessel, O. Wirjadi, M. Godehardt, A.-L. Schlachter, and A. Liebscher, “Analysis of Inner Fracture Surfaces in CFRP Based on μ-CT Image Data,” in Proc. of iCT 2012, pp. 33–40, Sept. 2012.
  13. [13] W. Holub, U. Hassler, C. Schorr, M. Maisl, P. Janello, and P. Jahnke, “XXL-Micro-CT Comparative Evaluation of Microscopic Computed Tomography for Macroscopic Objects,” in Proc. of DIR 2015, 2015, http://www.ndt.net/events/DIR2015/app/30, mbox 2015content/agenda.php?eventID=29 [accessed Sept.30, 2015]
  14. [14] M. Krumm, C. Sauerwein, V. Haemmerle, R. Oster, B. Diewel, and M. Sindel, “Capabilities and Application of Specialized Computed Tomography Methods for the Determination of Characteristic Material Properties of Fiber Composite Components,” in Proc. of iCT 2012, pp. 41–48, Sept. 2012.
  15. [15] Y. Yamauchi, “A Study for Recognition of Int. Yarn Orientation in Fibrous Structure with X-ray CT Scanner,” Master thesis, The University of Tokyo, 2013 (In Japanese).
  16. [16] C. Harris and M. Stephens, “A combined corner and edge detector,” in Proc. of Fourth Alvey Vision Conf., pp. 147–151, Sept. 1988.

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