All-fibre twist sensor system based on 45 and 81 tilted fibre gratings

Yan, Zhijun, Adebayo, Adedotun, Zhou, Kaiming, Zhang, Lin and Webb, David J. (2011). All-fibre twist sensor system based on 45 and 81 tilted fibre gratings. IN: SPIE proceedings. SPIE.


We experimentally demonstrated a highly sensitive twist sensor system based on a 45° and an 81° tilted fibre grating (TFG). The 81°-TFG has a set of dual-peaks that are due to the birefringence induced by its extremely tilted structure. When the 81°-TFG subjected to twist, the coupling to the two peaks would interchange from each other, providing a mechanism to measure and monitor the twist. We have investigated the performance of the sensor system by three interrogation methods (spectral, power-measurement and voltage-measurement). The experimental results clearly show that the 81°-TFG and the 45°-TFG could be combined forming a full fibre twist sensor system capable of not just measuring the magnitude but also recognising the direction of the applied twist.

Additional Information: Zhijun Yan, Adedotun Adebayo, Kaiming Zhou, Lin Zhang and David Webb, "All-fibre twist sensor system based on 45° and 81° tilted fibre gratings", Proc. SPIE 7753, 77538E (2011). 21st International Conference on Optical Fiber Sensors (OFS21), 15-19 May 2011, Ottawa (CA). Copyright 2011 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Uncontrolled Keywords: highly sensitive twist sensor system, 45°, 81°, tilted fibre grating, TFG, tilted structure, sensor system, full fibre twist sensor system, magnitude, direction, Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
ISBN: 9780819482464
Published Date: 2011
Authors: Yan, Zhijun
Adebayo, Adedotun
Zhou, Kaiming
Zhang, Lin
Webb, David J.


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