Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures

Yuan, F. G.; Girolamo, L.

doi:10.1063/1.4914754

Title: Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures

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Abstract

Nondestructive evaluation (NDE) for detection and quantification of damage in composite materials is fundamental in the assessment of the overall structural integrity of modern aerospace systems. Conventional NDE systems have been extensively used to detect the location and size of damages by propagating ultrasonic waves normal to the surface. However they usually require physical contact with the structure and are time consuming and labor intensive. An automated, contactless laser ultrasonic imaging system for barely visible impact damage (BVID) detection in advanced composite structures has been developed to overcome these limitations. Lamb waves are generated by a Q-switched Nd:YAG laser, raster scanned by a set of galvano-mirrors over the damaged area. The out-of-plane vibrations are measured through a laser Doppler Vibrometer (LDV) that is stationary at a point on the corner of the grid. The ultrasonic wave field of the scanned area is reconstructed in polar coordinates and analyzed for high resolution characterization of impact damage in the composite honeycomb panel. Two methodologies are used for ultrasonic wave-field analysis: scattered wave field analysis (SWA) and standing wave energy analysis (SWEA) in the frequency domain. The SWA is employed for processing the wave field and estimate spatially dependent wavenumber values, related tomore »« less

Authors:

Yuan, F. G. ^[1]; Girolamo, L. ^[2]

National Institute of Aerospace, Integrated Structural Health Management Laboratory, Hampton, VA 23666 and North Carolina State University, Department of Mechanical and Aerospace Engineering, Raleigh, NC 27695 (United States)
North Carolina State University, Department of Mechanical and Aerospace Engineering, Raleigh, NC 27695 (United States)

Publication Date:: Tue Mar 31 00:00:00 EDT 2015

OSTI Identifier:: 22391207

Resource Type:: Journal Article

Journal Name:: AIP Conference Proceedings

Additional Journal Information:: Journal Volume: 1650; Journal Issue: 1; Conference: 41. Annual Review of Progress in Quantitative Nondestructive Evaluation, Boise, ID (United States), 20-25 Jul 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X

Country of Publication:: United States

Language:: English

Subject:: 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 36 MATERIALS SCIENCE; ALGORITHMS; COMPOSITE MATERIALS; DAMAGE; DETECTION; LASER RADIATION; NEODYMIUM LASERS; NONDESTRUCTIVE ANALYSIS; Q-SWITCHING; STANDING WAVES; SURFACES; ULTRASONIC WAVES; WAVE PROPAGATION; X RADIATION

Citation Formats


                    Girolamo, D., E-mail: dgirola@ncsu.edu, Yuan, F. G., and Girolamo, L. Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures.  United States: N. p., 2015. 
        Web.  doi:10.1063/1.4914754.

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                    Girolamo, D., E-mail: dgirola@ncsu.edu, Yuan, F. G., & Girolamo, L. Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures.  United States.  https://doi.org/10.1063/1.4914754

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                    Girolamo, D., E-mail: dgirola@ncsu.edu, Yuan, F. G., and Girolamo, L. 2015.  
        "Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures".  United States.  https://doi.org/10.1063/1.4914754.

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@article{osti_22391207,

  title        = {Automated laser-based barely visible impact damage detection in honeycomb sandwich composite structures},

  author       = {Girolamo, D., E-mail: dgirola@ncsu.edu and Yuan, F. G. and Girolamo, L.},

  abstractNote = {Nondestructive evaluation (NDE) for detection and quantification of damage in composite materials is fundamental in the assessment of the overall structural integrity of modern aerospace systems. Conventional NDE systems have been extensively used to detect the location and size of damages by propagating ultrasonic waves normal to the surface. However they usually require physical contact with the structure and are time consuming and labor intensive. An automated, contactless laser ultrasonic imaging system for barely visible impact damage (BVID) detection in advanced composite structures has been developed to overcome these limitations. Lamb waves are generated by a Q-switched Nd:YAG laser, raster scanned by a set of galvano-mirrors over the damaged area. The out-of-plane vibrations are measured through a laser Doppler Vibrometer (LDV) that is stationary at a point on the corner of the grid. The ultrasonic wave field of the scanned area is reconstructed in polar coordinates and analyzed for high resolution characterization of impact damage in the composite honeycomb panel. Two methodologies are used for ultrasonic wave-field analysis: scattered wave field analysis (SWA) and standing wave energy analysis (SWEA) in the frequency domain. The SWA is employed for processing the wave field and estimate spatially dependent wavenumber values, related to discontinuities in the structural domain. The SWEA algorithm extracts standing waves trapped within damaged areas and, by studying the spectrum of the standing wave field, returns high fidelity damage imaging. While the SWA can be used to locate the impact damage in the honeycomb panel, the SWEA produces damage images in good agreement with X-ray computed tomographic (X-ray CT) scans. The results obtained prove that the laser-based nondestructive system is an effective alternative to overcome limitations of conventional NDI technologies.},

  doi          = {10.1063/1.4914754},

  url          = {https://www.osti.gov/biblio/22391207},
  journal      = {AIP Conference Proceedings},

  issn         = {0094-243X},

  number       = 1,

  volume       = 1650,

  place        = {United States},

  year         = {Tue Mar 31 00:00:00 EDT 2015},

  month        = {Tue Mar 31 00:00:00 EDT 2015}

}

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