Utility of Split Spectrum Processing to Improve the Detection of Inclusions in Titanium Alloys

dc.contributor.author Bashyam, Manohar
dc.date 2018-02-14T05:04:36.000
dc.date.accessioned 2020-06-30T06:44:10Z
dc.date.available 2020-06-30T06:44:10Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 1995
dc.date.issued 1995
dc.description.abstract <p>The objective of this research is to enhance target signals in titanium (Ti 6A1-4V and Ti 17β, referred to as Ti64 and Ti17 respectively) super alloys using signal processing for improved detection of hard-alpha and other inclusions. The overall objective is to generate easy to interpret images such as amplitude B-scans & C-scans by minimizing the clutter due to material noise. During this research we will evaluate the performance of several signal and image processing algorithms, based on the following evaluation criteria - number of detections verses number of false calls, algorithm execution time and robustness of the algorithms. The results of the different digital signal processing (DSP) algorithms will be compared to those of the focused C-scan images to show the advantages.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1995/allcontent/91/
dc.identifier.articleid 2113
dc.identifier.contextkey 5789441
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1995/allcontent/91
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/60650
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/1995/allcontent/91/1995_Bashyam_UtilitySplit.pdf|||Sat Jan 15 02:28:07 UTC 2022
dc.source.uri 10.1007/978-1-4615-1987-4_91
dc.subject.disciplines Signal Processing
dc.title Utility of Split Spectrum Processing to Improve the Detection of Inclusions in Titanium Alloys
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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