Electromagnetic SQUID Based NDE: a Comparison Between Experimental Data and Numerical FEM Modeling

dc.contributor.author Pepe, G.
dc.contributor.author Peluso, G.
dc.contributor.author Ruosi, A.
dc.contributor.author Valentino, M.
dc.contributor.author Tescione, D.
dc.date 2018-02-14T08:51:49.000
dc.date.accessioned 2020-06-30T06:52:08Z
dc.date.available 2020-06-30T06:52:08Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 1999
dc.date.issued 1999
dc.description.abstract <p>Over the existing electromagnetic sensors used in eddy-current Non-Destructive Evaluation (NDE), SQUID (Superconducting QUantum Interference Device) magnetometers are very attractive as multi-mode instruments capable of obtaining very high magnetic field sensitivity (detection of sub-pT signals) even in unshielded environments, high resolution imaging of low frequency eddy current distributions, large bandwidth (up to MHz) and high spatial resolution [1,2,3]. Moreover, a well optimized flux-locked-loop electronics allows SQUID systems to operate with large dynamic range and high linearity. These characteristics are extremely important in order to perform quantitative measurements of magnetic field distributions produced by induced currents in test samples. Of course, the need to operate the SQUID at cryogenic temperatures limits its use in many practical applications. The advent of High Temperature Superconductors (HTS) and the development of HTS SQUIDs has renewed the interest for NDE with these superconducting sensors [4].</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1999/allcontent/69/
dc.identifier.articleid 3932
dc.identifier.contextkey 5820171
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1999/allcontent/69
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/61789
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.uri 10.1007/978-1-4615-4791-4_69
dc.title Electromagnetic SQUID Based NDE: a Comparison Between Experimental Data and Numerical FEM Modeling
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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