1993
DOI: 10.1117/12.147997
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<title>Magnetic activation of embedded sensory particles in active tagging interrogation of adhesive bonding</title>

Abstract: Defects in adhesive bonds in composite products are difficult to detect because of the nonconductive and nonmagnetic properties of polymeric materials. However, intelligent bonding can be performed by adding a small amount of sensoiy particles such as ferromagnetic powder to an adhesive so that it will respond to an external magnetic stimulus. Useful indication parameters can then be extracted from the response to describe the condition of the bond. One of the difficulties with this technique is activating the… Show more

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Cited by 4 publications
(2 citation statements)
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“…Susceptibility imaging may prove ideal for this application, but workers outside the SQUID field are trying to build in inspectability by 'tagging'. Tagging [103][104][105] is a process whereby a small quantity of fine magnetic particles is incorporated into the composite matrix before curing. It makes inspection by conventional means possible; however, too many of these tracer particles can degrade the performance of the composite.…”
Section: Nonconducting Materialsmentioning
confidence: 99%
“…Susceptibility imaging may prove ideal for this application, but workers outside the SQUID field are trying to build in inspectability by 'tagging'. Tagging [103][104][105] is a process whereby a small quantity of fine magnetic particles is incorporated into the composite matrix before curing. It makes inspection by conventional means possible; however, too many of these tracer particles can degrade the performance of the composite.…”
Section: Nonconducting Materialsmentioning
confidence: 99%
“…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%