The manufacture of composite structures with a built-in network of piezoceramics
Introduction
Carbon-fiber-reinforced composite structures are widely used in the aerospace industry because of their advantages of having high strength, high stiffness, and low weight. However, composite structures are susceptible to impact damage during service, which can cause internal damages (e.g. delaminations) that are not visible from the surface. Over time, these damages can grow and lead to catastrophic structural failure; hence, composite structures need to be inspected frequently.
Current available methods for composite inspection employ non-destructive evaluation (NDE) techniques, such as X-ray or c-scan, to obtain an image of the internal damage. To perform these NDE procedures, expensive equipment and specialist operators are needed, and the structures have to be taken out of service. This is inconvenient and inefficient for most aerospace applications because it results in vehicle downtime and incurs excessive expense, and for other applications such as satellites, it is simply impossible.
Owing to the drawbacks in the current inspection methods, recent developments in structural health monitoring systems have attracted significant attention. The proposed structural health monitoring system offer potentials in increasing structural reliability, reducing operating cost, and minimizing vehicle downtime. Among the different monitoring techniques, structural health monitoring systems can be roughly divided into two categories based on the type of inputs to the system: passive sensing diagnostics and active sensing diagnostics. A passive sensing system contains only sensors so it takes unknown external inputs to excite the structure and then monitors the structural response. Examples of a passive sensing system include structures with distributed strain gauges [1], fiber optic sensors [2], and accelerometers [3]. An active sensing system contains actuators as well as sensors so it can generate known (controlled) inputs internally to excite the structure and then monitor its response. Although the actuation power of such system is often too small for structural control applications [4], it is adequate for generating ultrasonic waves for non-destructive evaluation purpose. An example of an active sensing system is a structure integrated with a network of distributed piezoceramics (Fig. 1) [5], [6], [7]. This type of system is the focus of study here.
The development of structural health monitoring systems is typically separated into three parts: sensor, software, and integration. Most works [8], [9], [10] done to date have been focused on the development of sensor technologies and application software for interpreting information acquired from structures. However, little work has been done on the integration of sensors with structures, especially for piezoceramic sensors that are needed for the active sensing diagnostic system.
Section snippets
Issues in manufacturing
In order to integrate a network of piezoceramic sensors onto composite structures, several issues in manufacturing need to be addressed. The issues are
- •
Electrical insulation
- •
Structural integrity
- •
Labor requirement
- •
Uniformity of sensor response
- •
Consistency of sensor response
The first problem is the electrical shorting of the sensors by carbon fibers. Due to the rugged conditions encountered during service, the piezoceramic sensors often need to be embedded inside structures to be protected from the
The SMART Layer approach
To fabricate a large composite structure with a network of distributed piezoceramics, it is insufficient and impractical to simply use the manufacturing techniques available in the composites industry today. In order to effectively address all the manufacturing issues mentioned in the previous section, a different approach is taken. The new approach adapts an idea from the electronics industry—the idea is Flexible Printed Circuits.
Flexible Printed Circuit, commonly referred to as “Flex,” is a
Validation testing
Tests were performed to validate the performance of the SMART Layer. Two aspects of the SMART layer were evaluated: Mechanical Performance and Electrical Performance. The purpose of the Mechanical Performance Tests is to examine the effect of embedding the SMART Layer on the structural integrity of the host composite structure. The purpose of the Electrical Performance Tests is to examine the performance of the SMART Layer after it's integrated onto a structure.
Application example: process monitoring
One of the major steps in the manufacturing of thermoset polymer matrix composite is the curing of the matrix resin that binds the fibers together. During the cure of the resin, the molecule chains of the resin crosslink to form a permanent rigid connection. The polymerization is initiated by elevated temperature that promotes the chemical reaction. This is most often done in an autoclave where heat and pressure are applied to cure the composite prepregs. Currently, industry practice is to use
Concluding remarks
From this study on the manufacturing of composite structures with an embedded network of piezoceramics, several major developments were made:
- •
A new design and the associated manufacturing technique were developed for integrating a network of distributed piezoceramic actuators/sensors onto composite structures. As a result, the SMART Layer was invented.
- •
Functional prototypes of composite structures with an embedded SMART Layer were successfully fabricated. The prototypes have been used to
Acknowledgements
The funding support of the Army Research Office to the project is greatly appreciated. The authors would also like to thank DuPont Electronics and Hexcel Corporation for donating the materials used in this study.
References (48)
- et al.
A note on the experimentally determined elastodynamic response of a slider-crank mechanism featuring a macroscopically smart connecting rod with ceramic piezoelectric actuators and strain gauge sensors
Journal of Sound and Vibration
(1995) - et al.
Propagation of surface waves in anisotropic solids: theoretical calculation and experiment
Ultrasonics
(1994) - et al.
Evaluation of integrated optic modulator-based detection schemes for in-line fiber etalon sensors
Journal of Lightwave Technology
(1995) - Zimmerman D, Abdallah M, Grigoriadis K. Towards real-time health monitoring by autonomous processing of modal and...
- et al.
Shape control of composite plates and shells with embedded actuators
Journal of Composite Materials
(1994) - Lin M, Tracy M, Chang FK. Built-in structural diagnostics for composite structures. The 1998 Society of Experimental...
- et al.
Impact damage diagnostics for composite structures using built-in sensors and actuators
Proceedings of the SPIE
(1996) - et al.
Active damage detection in filament wound composite tubes using built-in sensors and actuators
Journal of Intelligent Material Systems and Structures
(1997) - Tracy MJ. Impact load identification for composite plates using distributed piezoelectric sensors. PhD thesis,...
- Roh YS. Built-in diagnostics for identifying an anomaly in plates using wave scattering. PhD thesis, Department of...