RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys.
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| Title: | RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. |
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| Authors: | Venkatachalam, Krishnan1 (AUTHOR), Selvaraj, Senthil Kumaran2 (AUTHOR) saisenthilkumaranselvaraj@gmail.com, Mannayee, Giriraj2 (AUTHOR), Pattabiraman, Kalyanaraman1 (AUTHOR), G, Sundaramali2 (AUTHOR) |
| Source: | Scientific Reports. 5/4/2026, Vol. 16 Issue 1, p1-47. 47p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 193456627 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Venkatachalam%2C+Krishnan%22">Venkatachalam, Krishnan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Selvaraj%2C+Senthil+Kumaran%22">Selvaraj, Senthil Kumaran</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> saisenthilkumaranselvaraj@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mannayee%2C+Giriraj%22">Mannayee, Giriraj</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pattabiraman%2C+Kalyanaraman%22">Pattabiraman, Kalyanaraman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22G%2C+Sundaramali%22">G, Sundaramali</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 5/4/2026, Vol. 16 Issue 1, p1-47. 47p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193456627 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-42608-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 47 StartPage: 1 Titles: – TitleFull: RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Venkatachalam, Krishnan – PersonEntity: Name: NameFull: Selvaraj, Senthil Kumaran – PersonEntity: Name: NameFull: Mannayee, Giriraj – PersonEntity: Name: NameFull: Pattabiraman, Kalyanaraman – PersonEntity: Name: NameFull: G, Sundaramali IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 05 Text: 5/4/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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