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


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

October 2, 2015
January 18, 2016
Online released:
March 4, 2016
March 5, 2016
CMC, X-ray CT, 3D, differentials, direction detection

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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Last updated on Aug. 21, 2019