New Sensor Technologies in Aircraft Structural Health Monitoring

Bolin, Shang; Song, Bifeng; Fei, Chang

doi:10.1109/cmd.2008.4580381

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…This property can be used to create a sensor. Piezoelectric sensors can be installed inside a structure or attached to the surface to detect internal structural damage based on sound and ultrasound (Shang et al, 2008). In one study, a health monitoring system for a composite airframe (including the wings, the fuselage, and the empennage) using piezoelectric sensors to measure structural strains under high-frequency loading was developed (Kosmatka and Oliver, 2006).…”

Section: Sensorsmentioning

confidence: 99%

Morphing aircraft based on smart materials and structures: A state-of-the-art review

Sun

Guan

Liu

et al. 2016

Journal of Intelligent Material Systems and Structures

267

137

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A traditional aircraft is optimized for only one or two flight conditions, not for the entire flight envelope. In contrast, the wings of a bird can be reshaped to provide optimal performance at all flight conditions. Any change in an aircraft’s configuration, in particular the wings, affects the aerodynamic performance, and optimal configurations can be obtained for each flight condition. Morphing technologies offer aerodynamic benefits for an aircraft over a wide range of flight conditions. The advantages of a morphing aircraft are based on an assumption that the additional weight of the morphing components is acceptable. Traditional mechanical and hydraulic systems are not considered good choices for morphing aircraft. “Smart” materials and structures have the advantages of high energy density, ease of control, variable stiffness, and the ability to tolerate large amounts of strain. These characteristics offer researchers and designers new possibilities for designing morphing aircraft. In this article, recent developments in the application of smart materials and structures to morphing aircraft are reviewed. Specifically, four categories of applications are discussed: actuators, sensors, controllers, and structures.

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Section: Sensorsmentioning

confidence: 99%

Morphing aircraft based on smart materials and structures: A state-of-the-art review

Sun

Guan

Liu

et al. 2016

Journal of Intelligent Material Systems and Structures

267

137

View full text Add to dashboard Cite

show abstract

“…Finally, Shang et al [11] classify structural health monitoring systems into two groups, namely "operational load monitoring" and "damage monitoring" and introduces some of the new sensor technologies such as optical fibre, piezoelectricity, micro-electro-mechanical sensors and wireless sensing systems.…”

Section: Related Researchmentioning

confidence: 99%

Wireless sensor and actuator networks: Enabling the nervous system of the active aircraft

2010

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The ever-increasing volume of air transport necessitates new technologies to be adopted by the flight industry to fulfil the requirements of safety, security, affordability and environment friendliness while still meeting the growing demand. What we need to achieve this goal is a new type of aircraft cruise control, interconnecting all the onboard active control systems and making more accurate control decisions than is currently possible, thus improving the overall flight efficiency. "Active Aircraft" envisions such a nervous system of distributed wireless sensor and actuator network (WSAN) components, enabling the early detection of potential problems, and quick, accurate reactions to these. As part of this vision, WSAN deployed on aircraft wings help the reduction of aerodynamic drag and significantly reduce fuel consumption.In this article, we first describe this conceptual change in aircraft control technology. We then introduce a WSAN application to reduce skin friction drag, and a network topology to enable it. In our application, WSAN form virtual flap arrays on the wings to measure the skin friction in real time, and to react using synthetic jet actuators, which suck and expel air on the wing to reduce the friction. The Active Aircraft vision imposes stringent performance requirements on the underlying WSAN communication algorithms. The medium access control and routing protocols, in particular, must meet the quality of service criteria set by active control applications. Thus, we also present the application characteristics of Active Aircraft and raise the issue of design considerations with regard to the communication protocols.

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“…Variable loads, degradation speed, and weather anomalies enforce controlling the condition during the period of usage. For this purpose, the various nondestructive methods are utilized: eddy current method, electrical tomography, ultrasonic, thermographic, magnetic testing, magnetic particle inspection, liquid penetration testing, and structural health monitoring (SHM) . The choice of the measurement method depends on the material type, the expected defects, the designed structure life‐span, the environment, potential life threat, and financial losses.…”

Section: Introductionmentioning

confidence: 99%

Double patch sensor for identification of stress level and direction

Herbko

Łopato

2019

Int J RF Microw Comput Aided Eng

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In this article microstrip sensor for evaluation of stress direction and value was proposed. Developed sensor consists of two patches (resonators) of various sizes. Both patches have different operating frequencies and different angles between resonator axis and the direction of mechanical excitation—resonators are arranged along orthogonal axes. Proposed transducer enables determination of the direction and value of stress in the range from 0 to 90°. Patches are fed by T‐junction power divider, so they use one excitation port. The resonators were developed for operating frequencies of 2.65 and 2.75 GHz, so a small difference (100 MHz) compared to the sensor with one resonator was obtained between the two resonant frequencies. It enables better use of measuring hardware capabilities, which leads to faster and more accurate measurements. The proposed sensors were evaluated using numerical analysis and measurements. Moreover, the algorithm for identification of direction and stress level was proposed. It uses artificial neural network approximator. The algorithm was positively verified.

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New Sensor Technologies in Aircraft Structural Health Monitoring

Cited by 7 publications

References 1 publication

Morphing aircraft based on smart materials and structures: A state-of-the-art review

Morphing aircraft based on smart materials and structures: A state-of-the-art review

Wireless sensor and actuator networks: Enabling the nervous system of the active aircraft

Double patch sensor for identification of stress level and direction

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