Automated angular scans to determine flaw orientation for use in model-based flaw reconstruction

dc.contributor.advisor Steve H. Russell
dc.contributor.author Crowder, James
dc.contributor.department Department of Electrical and Computer Engineering
dc.date 2018-08-24T21:37:14.000
dc.date.accessioned 2020-06-30T08:18:19Z
dc.date.available 2020-06-30T08:18:19Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 1988
dc.date.embargo 2013-12-10
dc.date.issued 1988
dc.description.abstract <p>In manufacturing, the ability to detect and characterize failure-initiating flaws is important in the assurance of the structural integrity of materials and components. One major technique in the detection and characterization of such flaws is ultrasonics. In recent years, significant advances have been made in inverse ultrasonic scattering in the region where the ultrasonic wavelength is of the same order as the "radius" of the flaw. Such work is based on physical models that describe the interaction between an elastic wave and the flaw for both long and intermediate wavelength inverse scattering.</p> <p>To exploit these theoretical advances in elastic wave inverse scattering, an automated multiviewing ultrasonic transducer system and associated software has been designed and built in order to perform characterization and analysis of volumetric flaws. The flaw is characterized by its size, shape, and orientation within a material. Utilizing inverse ultrasonic scattering theories, signal processing algorithms perform three-dimensional reconstruction by finding an ellipsoid that best fits the inverse scattering data taken from many independent perspectives within a specified aperture.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/228/
dc.identifier.articleid 1222
dc.identifier.contextkey 4903309
dc.identifier.doi https://doi.org/10.31274/rtd-180813-5230
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/228
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/73815
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/228/1988_CrowderJA_AutomatedAngularScans.pdf|||Fri Jan 14 22:44:31 UTC 2022
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.keywords CNDE
dc.title Automated angular scans to determine flaw orientation for use in model-based flaw reconstruction
dc.type thesis en_US
dc.type.genre thesis en_US
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
thesis.degree.level thesis
thesis.degree.name Master of Science
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