Embedded fibre Bragg grating array sensors in aluminium alloy matrix by ultrasonic consolidation

Abstract

Fibre Bragg Grating (FBG) array sensors have been successfully embedded in aluminium alloy matrix by ultrasonic consolidation (UC) technique. The temperature and loading responses of the embedded FBG arrays have been systematically characterised. The embedded grating sensors exhibit an average temperature sensitivity of ~36pm/°C, which is three times higher than that of normal FBGs, and a loading responsivity of ~0.1nm/kg within the dynamic range from 0kg to 3kg. This initial experiment clearly demonstrates that FBG array sensors can be embedded in metal matrix together with other passive and active fibres to fabricate smart materials to monitor the operation and health of engineering structures.

Additional Information: Chengbo Mou ; Pouneh Saffari ; Dezhi Li ; Kaiming Zhou ; Lin Zhang ; Rupert Soar and Ian Bennion, "Embedded fibre Bragg grating array sensors in aluminium alloy matrix by ultrasonic consolidation", David Sampson ; Stephen Collins ; Kyunghwan Oh and Ryozo Yamauchi (eds), Proc. SPIE 7004, 19th International Conference on Optical Fibre Sensors, 70044B (May 16, 2008); doi:10.1117/12.786065 Copyright 2008 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. http://dx.doi.org/10.1117/12.786065
Event Title: 19th International Conference on Optical Fibre Sensors
Event Type: Other
Event Location: Perth
Event Dates: 2008-04-14 - 2008-04-18
Uncontrolled Keywords: photonics, fibre Bragg grating, optical fibre sensor, smart structure, ultrasonic consolidation, Electrical and Electronic Engineering, Condensed Matter Physics
ISBN: 978-0-8194-7204-5
Last Modified: 23 Oct 2019 12:32
Date Deposited: 14 Dec 2012 10:45
Published Date: 2008-05-16
Authors: Mou, Chengbo
Saffari, Pouneh
Li, Dezhi
Zhou, Kaiming
Zhang, Lin
Soar, Rupert
Bennion, Ian

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