Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors
<p>Wind turbine blades - (<b>a</b>) Adhesive bonding zones in blade - Critical zones of failure in blades, (<b>b</b>) Debonding zone observed at the trailing edge [<a href="#B1-sensors-19-00742" class="html-bibr">1</a>].</p> "> Figure 2
<p>Different resin eye concentrations depending on the diameter and their effect—(<b>a</b>) Resin eye concentration around FOS position in composite, (<b>b</b>) Resin eye concentration around various diameter FOSs.</p> "> Figure 3
<p>Multiple FOSs embedded in linear alignment showing variables to optimise.</p> "> Figure 4
<p>Sinusoidal FOS Alignment Showing 3 variables to optimise.</p> "> Figure 5
<p>Dual-Sinusoidal FOS Alignment.</p> "> Figure 6
<p>3D and zoomed 2D view of model having dual-sinusoidal optical fiber alignment.</p> "> Figure 7
<p>Loads and boundary conditions properties used for model having dual-sinusoidal optical fiber placement.</p> "> Figure 8
<p>Dual-sinusoidal FOSs’ placement embedded on a glass composite specimen.</p> "> Figure 9
<p>Stress distribution in the numerical model simulation having three FOSs in a linear placement.</p> "> Figure 10
<p>Stress distribution in the numerical model simulation having two FOSs in a linear placement.</p> "> Figure 11
<p>Stress distribution in the numerical model simulation with two FOSs in a linear placement with change in spacing.</p> "> Figure 12
<p>Comparison between three different multi-linear FOSs placements.</p> "> Figure 13
<p>Strain measurements showing dual-sinusoidal FOSs placement (placement in dual-sinusoidal mode, in phase opposition, provides coverage complementary to that of a single sinusoidal fiber).</p> "> Figure 14
<p>Comparison between strain parameter sensed with dual sinusoidal alignment.</p> "> Figure 15
<p>Bending strain measurement carried out with dual-sinusoidal FOSs alignment on glass-fiber composite specimen.</p> ">
Abstract
:1. Introduction
2. Objectives
3. Numerical Modelling
4. Experimental Preparation
5. Results
5.1. Numerical Simulation Results
5.1.1. Results of Numerical Simulation of Multi-Linear Alignment of Optical Fibers Embedded in Composite Material
5.1.2. Results of Numerical Simulation of Dual-Sinusoidal Alignment of Optical Fibers Embedded in Composite Material
5.2. Experimentation Results
6. Discussion
7. Conclusions
Author Contributions
Acknowledgments
Conflicts of Interest
References
- Drissi-Habti, M.; Raman, V.; Khadour, A.; Timorian, S. Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing. Sensors 2017, 17, 667. [Google Scholar] [CrossRef] [PubMed]
- Subrahmanian, K.; Dubouloz, F. Adhesives for bonding wind turbine blades. Reinf. Plast. 2009, 53, 26–29. [Google Scholar] [CrossRef]
- Raman, V.; Drissi-Habti, M.; Guillaumat, L.; Khadhour, A. Numerical simulation analysis as a tool to identify areas of weakness in a turbine wind-blade and solutions for their reinforcement. Compos. Part B Eng. 2016, 103, 23–39. [Google Scholar] [CrossRef]
- Lim, D. Development of Self-Powered Wireless Structural Health Monitoring (SHM) for Wind Turbine Blades. Ph.D. Thesis, University of Minnesota, Minneapolis, MN, USA, 2015. [Google Scholar]
- Ansari, F. Structural health monitoring with fiber optic sensors. Front. Mech. Eng. China 2009, 4, 103–110. [Google Scholar] [CrossRef]
- Glisic, B.; Inaudi, D. Fibre Optic Methods for Structural Health Monitoring; Wiley: Hoboken, NJ, USA, 2008; p. 276. [Google Scholar]
- Dasgupta, A.; Ying, W.; Sirkis, J.S. Prediction of resin pocket geometry for stress analysis of optical fibers embedded in laminated composites. Smart Mater. Struct. 1992, 1, 101–107. [Google Scholar] [CrossRef]
- Her, S.C.; Yao, B.R. Stress Analysis of Composite Material Embedded with Optical Fiber Sensor. In Key Engineering Materials; Trans Tech Publications: Zurich, Switzerland, 2006; pp. 59–62. [Google Scholar]
Materials | Density (kg/m3) | Modulus (MPa) | Poisson’s Ratio |
---|---|---|---|
Carbon composite (CFRP) | 1950 | E1 = 103,000, E2 = 10,400, G12 = 54,000 | ν12 = 0.3, ν21 = 0.03 |
Epoxy | 1250 | 3500 | 0.3 |
Acrylate | 950 | 2700 | 0.35 |
Polyimide | 1100 | 3000 | 0.42 |
Silica glass | 2400 | 72,000 | 0.17 |
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Raman, V.; Drissi-Habti, M.; Limje, P.; Khadour, A. Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors. Sensors 2019, 19, 742. https://doi.org/10.3390/s19030742
Raman V, Drissi-Habti M, Limje P, Khadour A. Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors. Sensors. 2019; 19(3):742. https://doi.org/10.3390/s19030742
Chicago/Turabian StyleRaman, Venkadesh, Monssef Drissi-Habti, Preshit Limje, and Aghiad Khadour. 2019. "Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors" Sensors 19, no. 3: 742. https://doi.org/10.3390/s19030742
APA StyleRaman, V., Drissi-Habti, M., Limje, P., & Khadour, A. (2019). Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors. Sensors, 19(3), 742. https://doi.org/10.3390/s19030742