Prediction of the hot flow behavior of AISI 321 stainless steel during dynamic recrystallization using sine hyperbolic constitutive equation and artificial neural network.
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| Title: | Prediction of the hot flow behavior of AISI 321 stainless steel during dynamic recrystallization using sine hyperbolic constitutive equation and artificial neural network. |
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| Authors: | Vajd, Akbar1 (AUTHOR), Hosseinnejad, Keyhan2 (AUTHOR), Fardi Ilkhchy, Ali3 (AUTHOR), Shaban Ghazani, Mehdi3 (AUTHOR) m_shaban@ubonab.ac.ir |
| Source: | Materials Science & Technology. Apr2026, Vol. 42 Issue 5, p450-466. 17p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192206467 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192206467 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/02670836241306050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 450 Titles: – TitleFull: Prediction of the hot flow behavior of AISI 321 stainless steel during dynamic recrystallization using sine hyperbolic constitutive equation and artificial neural network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vajd, Akbar – PersonEntity: Name: NameFull: Hosseinnejad, Keyhan – PersonEntity: Name: NameFull: Fardi Ilkhchy, Ali – PersonEntity: Name: NameFull: Shaban Ghazani, Mehdi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02670836 Numbering: – Type: volume Value: 42 – Type: issue Value: 5 Titles: – TitleFull: Materials Science & Technology Type: main |
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