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Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist

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dc.contributor.authorAlamoudi, Mohammed
dc.contributor.authorSattari, Mohammad Amir
dc.contributor.authorBalubaid, Mohammed
dc.contributor.authorEftekhari-Zadeh, Ehsan
dc.contributor.authorNazemi, Ehsan
dc.contributor.authorTaylan, Osman
dc.contributor.authorKalmoun, El Mostafa
dc.contributor.imecauthorNazemi, Ehsan
dc.contributor.orcidextBalubaid, Mohammed::0000-0001-7978-401X
dc.contributor.orcidextEftekhari-Zadeh, Ehsan::0000-0003-1480-1450
dc.contributor.orcidextTaylan, Osman::0000-0002-5806-3237
dc.contributor.orcidimecNazemi, Ehsan::0000-0001-5457-6943
dc.date.accessioned2022-02-10T11:56:47Z
dc.date.available2021-11-02T15:59:09Z
dc.date.available2022-02-10T11:56:47Z
dc.date.issued2021
dc.identifier.doi10.3390/sym13071198
dc.identifier.issn2073-8994
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37741
dc.publisherMDPI
dc.source.beginpage1198
dc.source.issue7
dc.source.journalSYMMETRY-BASEL
dc.source.numberofpages16
dc.source.volume13
dc.subject.keywordsRAY ABSORPTION TECHNIQUE
dc.subject.keywordsLIQUID-GAS FLOW
dc.subject.keywordsPOWER-AMPLIFIER
dc.subject.keywordsNEURAL-NETWORK
dc.subject.keywordsOIL PIPELINES
dc.subject.keywordsPREDICTION
dc.subject.keywordsDENSITY
dc.subject.keywordsDESIGN
dc.subject.keywordsIDENTIFICATION
dc.subject.keywordsCONVECTION
dc.title

Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist

dc.typeJournal article
dspace.entity.typePublication
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