&lt;title&gt;Review of embedded particle tagging methods for nondestructive evaluation (NDE) of composite materials and structures&lt;/title&gt;

Zhou, Su‐Wei; Chaudhry, Zaffir; Rogers, Craig A.; Quattrone, Robert

doi:10.1117/12.207675

Cited by 3 publications

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“…The result of this technology, a &dquo;tagged composite&dquo; that has the ability to respond to magnetic excitation, offers good opportunities for developing new NDE methods and tech-niques. Several theoretical studies (Sun, Liang, Rogers, and Vick, 1993;Rogers et al, 1995;Quattrone, 1995a and1995b) have been performed to assess this technology and to find the most promising methods for in-service and in-field implementation.…”

Section: Introductionmentioning

confidence: 99%

Passive and Active Tagging of Glass-Fiber Polymeric Composites for In-Process and In-Field Non-Destructive Evaluation

Giurgiutiu

Chen

Lalande

et al. 1996

Journal of Intelligent Material Systems and Structures

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Conventional non-destructive evaluation (NDE) methods are not very effective in monitoring the material conditions of advanced composite and adhesive joints. A technology that has been proposed to enhance the inspectability of advanced composites is the particle tagging technique. Two theoretical models were recently proposed to characterize the dynamic behavior of ferromagnetic and magnetostrictive tagging particles. These theoretical models concerning the development of an active tagging technique with embedded ferromagnetic and magnetostrictive particles and magnetic excitation are now experimentally verified. The experimental results of the active particle tagging shows a variation in the dynamic response of the specimens when defects and/or damage are present. The sensory signature from a tagged polymer is extracted as a result of the interaction between the embedded particles and their host matrix. A study of various types of composites and tagging particles for passive and active tagging was performed. Experimental validation of concepts for tagging of structural materials for on-site inspection prior to installation have also been explored. The on-site particle tagging inspection has been verified on laboratory specimens obtained from industry and was shown to be very efficient.

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Section: Introductionmentioning

confidence: 99%

Passive and Active Tagging of Glass-Fiber Polymeric Composites for In-Process and In-Field Non-Destructive Evaluation

Giurgiutiu

Chen

Lalande

et al. 1996

Journal of Intelligent Material Systems and Structures

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Historical Developments and Potential Applications: Smart Materials and Structures

Chopra

Sirohi

2013

Smart Structures Theory

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Micromechanical prediction of the response of electrostrictive multiphase composites

Aboudi

1999

Smart Mater. Struct.

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A micromechanical analysis which is capable of predicting the nonlinear behavior of multiphase composites in which one or more phases are electrostrictive materials is proposed. In view of the nonlinear behavior of the electrostrictive constituents, an incremental procedure in conjunction with a tangential formulation is developed. As a result of the micromechanical analysis, the instantaneous electromechanical concentration tensor and thermal-pyroelectric vector are established. These readily provide the current electromechanical effective constants, coefficients of thermal expansion and the associated pyroelectric coefficients. Results are given that show the effects of electrical, mechanical and thermal loadings on the behavior of electrostrictive porous materials, and the capability for sensing by tagging of electrostrictives in a polymer matrix composite is illustrated.

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<title>Review of embedded particle tagging methods for nondestructive evaluation (NDE) of composite materials and structures</title>

Cited by 3 publications

References 0 publications

Passive and Active Tagging of Glass-Fiber Polymeric Composites for In-Process and In-Field Non-Destructive Evaluation

Passive and Active Tagging of Glass-Fiber Polymeric Composites for In-Process and In-Field Non-Destructive Evaluation

Historical Developments and Potential Applications: Smart Materials and Structures

Micromechanical prediction of the response of electrostrictive multiphase composites

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