Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC.
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| Title: | Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC. |
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| Authors: | Kumar TS; Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India. t_satishkumar@cb.amrita.edu., Shalini S; Department of Physics, PSG Polytechnic College, Coimbatore, India., Petrů J; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic., Kirubavathi G; Department of Mathematics, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, India., Kalita K; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic. kanakkalita02@gmail.com.; Department of Mechanical Engineering, Rajalakshmi Institute of Technology, Chennai, 600124, India. kanakkalita02@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 26; Vol. 15 (1), pp. 42056. Date of Electronic Publication: 2025 Nov 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41298744 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kumar+TS%22">Kumar TS</searchLink>; Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India. t&#95;satishkumar@cb.amrita.edu.<br /><searchLink fieldCode="AU" term="%22Shalini+S%22">Shalini S</searchLink>; Department of Physics, PSG Polytechnic College, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Petrů+J%22">Petrů J</searchLink>; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Kirubavathi+G%22">Kirubavathi G</searchLink>; Department of Mathematics, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Kalita+K%22">Kalita K</searchLink>; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic. kanakkalita02@gmail.com.; Department of Mechanical Engineering, Rajalakshmi Institute of Technology, Chennai, 600124, India. kanakkalita02@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Nov 26; Vol. 15 (1), pp. 42056. <i>Date of Electronic Publication: </i>2025 Nov 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41298744 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-26093-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 42056 Titles: – TitleFull: Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar TS – PersonEntity: Name: NameFull: Shalini S – PersonEntity: Name: NameFull: Petrů J – PersonEntity: Name: NameFull: Kirubavathi G – PersonEntity: Name: NameFull: Kalita K IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 11 Text: 2025 Nov 26 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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