Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach.
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| Title: | Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach. |
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| Authors: | Mothilal, Meghavath1 (AUTHOR), Kumar, Atul1 (AUTHOR) atul.kumar@vit.ac.in |
| Source: | Philosophical Magazine Letters. Dec2025, Vol. 105 Issue 1, p1-9. 9p. |
| 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: 190226467 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mothilal%2C+Meghavath%22">Mothilal, Meghavath</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Atul%22">Kumar, Atul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> atul.kumar@vit.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Philosophical+Magazine+Letters%22">Philosophical Magazine Letters</searchLink>. Dec2025, Vol. 105 Issue 1, p1-9. 9p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190226467 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09500839.2025.2472669 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Titles: – TitleFull: Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mothilal, Meghavath – PersonEntity: Name: NameFull: Kumar, Atul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09500839 Numbering: – Type: volume Value: 105 – Type: issue Value: 1 Titles: – TitleFull: Philosophical Magazine Letters Type: main |
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