Thermally-Tunable-Silicon-Ring-Resonator-Based High-Speed Optical Sensor Interrogator for Impact Monitoring

Author(s):  
Hyun-Tae Kim ◽  
Miao Yu
2017 ◽  
Vol 25 (20) ◽  
pp. 24827 ◽  
Author(s):  
Zhao Wang ◽  
Dixon Paez ◽  
Ahmed I. Abd El-Rahman ◽  
Peng Wang ◽  
Liam Dow ◽  
...  

2009 ◽  
Vol 17 (24) ◽  
pp. 21986 ◽  
Author(s):  
F. Y. Gardes ◽  
A. Brimont ◽  
P. Sanchis ◽  
G. Rasigade ◽  
D. Marris-Morini ◽  
...  

2005 ◽  
Vol 297-300 ◽  
pp. 2022-2027 ◽  
Author(s):  
Jin Yi Lee ◽  
Ji Seoung Hwang ◽  
Tetsuo Shoji ◽  
Jae Kyoo Lim

The magneto-optical nondestructive inspection system (hereafter refer to as RMO system) using magneto-optical sensor (hereafter refer to as MO sensor) offers the benefits of providing image data and LMF information at the same time. Therefore this system makes it possible to carry out remote and high speed inspection of cracks from the intensity of the reflected light and to estimate the shape of a crack more effectively than by already existing methods. In other words, the shape of crack could be evaluated using image data, and crack depth can be determined by calculating the intensity of reflected light. The purposes of this study were to confirm the vertical components of leakage magnetic flux from a crack using RMO system and to verify the effects of MO sensor using the finite element method and dipole model calculation. The effectiveness of these analysis methods was compared with experiments using a RMO system and several types and sizes of the crack on plate specimens. The volume of a crack could be estimated using the optical intensity regardless of the shape of cracks.


Author(s):  
Doo-Hyun Cho ◽  
Seung Beom Park ◽  
Sung-Ha Kim ◽  
Taejoong Kim ◽  
Kwangsung Lee

Author(s):  
Papiya Debbarma ◽  
Srikanta Das ◽  
Bishanka Brata Bhowmik

2009 ◽  
Vol 56 (3) ◽  
pp. 1069-1075 ◽  
Author(s):  
Stuart Kleinfelder ◽  
Shiuh-Hua Wood Chiang ◽  
Wei Huang ◽  
Ashish Shah ◽  
Kris Kwiatkowski

2017 ◽  
Vol 56 (3) ◽  
pp. 397 ◽  
Author(s):  
L. M. Riobo ◽  
F. E. Veiras ◽  
P. A. Sorichetti ◽  
M. T. Garea
Keyword(s):  

Author(s):  
Hui-Hui Zhu ◽  
Yong-Heng Yue ◽  
Ya-Jie Wang ◽  
Min Zhang ◽  
Jian-Jun He ◽  
...  

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