Paper
4 April 2012 Instrumented composite turbine blade for health monitoring
Kevin E. Robison, Steve E. Watkins, James Nicholas, K. Chandrashekhara, Joshua L. Rovey
Author Affiliations +
Abstract
A health monitoring approach is investigated for hydrokinetic turbine blade applications. In-service monitoring is critical due to the difficult environment for blade inspection and the cost of inspection downtime. Composite blade designs have advantages that include long life in marine environments and great control over mechanical properties. Experimental strain characteristics are determined for static loads and free-vibration loads. These experiments are designed to simulate the dynamic characteristics of hydrokinetic turbine blades. Carbon/epoxy symmetric composite laminates are manufactured using an autoclave process. Four-layer composite beams, eight-layer composite beams, and two-dimensional eight-layer composite blades are instrumented for strain. Experimental results for strain measurements from electrical resistance gages are validated with theoretical characteristics obtained from in-house finite-element analysis for all sample cases. These preliminary tests on the composite samples show good correlation between experimental and finite-element strain results. A health monitoring system is proposed in which damage to a composite structure, e.g. delamination and fiber breakage, causes changes in the strain signature behavior. The system is based on embedded strain sensors and embedded motes in which strain information is demodulated for wireless transmission.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kevin E. Robison, Steve E. Watkins, James Nicholas, K. Chandrashekhara, and Joshua L. Rovey "Instrumented composite turbine blade for health monitoring", Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472J (4 April 2012); https://doi.org/10.1117/12.915373
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Composites

Sensors

Finite element methods

Fiber optics sensors

Inspection

Signal processing

Resistance

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