Development of Sensor Integrated Composite Wing Structure

Choi, Mi Jin; Kim, Jin-Seong; Kim, Young Kyu; Kim, Jong Hoon; Choi, Ko Woon; Park, Chan Yik; Kim, Jong Heon

doi:10.4028/www.scientific.net/amr.123-125.903

Cited by 3 publications

(3 citation statements)

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“…Some of them were produced during fabrication and others are intentionally induced during the tests. Several sensors including optical fiber sensors, PZT sensors and conventional strain gauges are mounted on the test article [3].…”

Section: Project Overviewmentioning

confidence: 99%

Structural Damage Monitoring of a Composite Wing Using Multiple Types of Sensors

Park

Cho

Jun

2010

AMR

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This paper outlines an ongoing SHM project called KASHMOS where the damage detection in composite wing structures using multiple sensors is investigated. The test bed is a composite UAV wing section and the ground structural tests are being performed to evaluate developed systems. Different kinds of damage modes in prearranged areas are intentionally induced. Optical fiber sensors, piezo-electric active sensors and Q-switched pulse lasers are utilized for detecting the damage and monitoring the integrity of the wing structure. Strain-based, impedance-based, and ultrasonic-wave-based damage monitoring methods are studied. Although this investigation is based on the ground tests, the operation concepts for the onboard system as well as the ground system are also considered.

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Section: Project Overviewmentioning

confidence: 99%

Structural Damage Monitoring of a Composite Wing Using Multiple Types of Sensors

Park

Cho

Jun

2010

AMR

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“…Aktaş et al (2009) studied the detection of damage produced by impacts of different energies including results from infrared thermography and a final autopsy. Park et al (2010) and Choi et al (2010) implemented an FBG sensor network for damage monitoring and compared the strain measured by FBGs, piezoelectric active sensors, and q-switch pulsed lasers. García et al (2015) presented several practical applications for structures and engines with different alternatives for measuring strains.…”

Section: Introductionmentioning

confidence: 99%

Fiber Bragg grating application to study an unmanned aerial system composite wing

Gutiérrez

Fernández

Galvín

et al. 2019

Journal of Intelligent Material Systems and Structures

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Structural health monitoring consists of structural integrity assessment by means of data acquisition and analysis from on-board sensors. Fiber Bragg grating–based monitoring is increasingly attracting the scientific community working on structural health monitoring due to its multiple advantages such as electromagnetic immunity, negligible weight and size, and multiplexing availability. However, the integration of fiber optics within a structure still requires new procedures and signal treatment techniques for increasing technology reliability and exploiting its full potential. In this article, five embedded Fiber Bragg grating sensors are installed in an unmanned aerial system wing for correlating operational conditions with structural strain in real time. Sensor locations are determined by a finite element model accounting for manufacturing limitations of the fiber line. The developed Fiber Bragg grating system and processing techniques are used in static and dynamic tests showing the capacities of this powerful technology. The assessment includes deflection shape estimation, strain cycles counting, audible and visual strain alarms, aileron control based on strain levels, and structural resonance response detection.

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“…The limitation of a low sampling frequency was overcome using the newly developed FBG interrogation system based on spectral domain measurements . To increase the applicability of the impact identification methods, the impact experiments in this study were performed on various types of composite structures such as a composite flat plate, a composite stiffened panel and a full scale UAV composite wing box . In this case, the low signal‐to‐noise ratios of the FBG sensor signals disturb to obtain the reproducible arrival times as the neural network input data.…”

Section: Introductionmentioning

confidence: 99%

Real-time impact identification algorithm for composite structures using fiber Bragg grating sensors

Jang

Lee

Kim

et al. 2012

Struct. Control Health Monit.

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In composite structures, low-velocity impact-induced damage such as delamination are mostly hidden inside laminates or leave a small dent on the impact side. Thus, detecting this type of damage using conventional inspection methods is not easy and requires much time and cost. To enhance efficiency of these methods, information on the estimated impact locations must be provided with a high accuracy. In this way, unnecessary inspections for large intact regions can be reduced. In this study, impact localization algorithms for various composite structures were developed using the impact induced acoustic signals acquired by multiplexed fiber Bragg grating (FBG) sensors. The acoustic waves from a given impact were transmitted to each FBG sensor, and incurred FBG wavelength shifts were captured by a high speed multiplexible FBG interrogation system with a sampling frequency of 100 kHz. After acquisition of the FBG sensor signals at all the training points in the target section, the impact wave arrival time differences between each FBG signal were calculated to produce the input data sets for neural network training. To reliably use the neural network algorithm for impact identification, high reproducible arrival time determination algorithms are essentially required. In this study, such arrival time determination algorithms were developed through various types of structures. Finally, we evaluated the performances of the suggested impact identification algorithms for a composite wing box structure.

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Development of Sensor Integrated Composite Wing Structure

Cited by 3 publications

References 0 publications

Structural Damage Monitoring of a Composite Wing Using Multiple Types of Sensors

Structural Damage Monitoring of a Composite Wing Using Multiple Types of Sensors

Fiber Bragg grating application to study an unmanned aerial system composite wing

Real-time impact identification algorithm for composite structures using fiber Bragg grating sensors

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