Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites.
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| Title: | Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites. |
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| Authors: | Davis Hans SJ; Department of Mechanical Engineering, Jansons Institute of Technology, Coimbatore, India. s.j.davishans@jit.ac.in., Muthukumaran M; Department of Mechanical Engineering, Jansons Institute of Technology, Coimbatore, India., Kumaresan K; Department of Mechanical Engineering, Park College of Technology, Coimbatore, India., Pradeep Kumar VG; Department of Mechanical Engineering, JSS Science and Technology University, Mysuru, 570006, India., Goudar DM; Department of Mechanical Engineering, Tontadarya College of Engineering, Gadag, 582101, India., Bhat SK; Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. sk.bhat@manipal.edu. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 26; Vol. 15 (1), pp. 42216. 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: 41298651 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Davis+Hans+SJ%22">Davis Hans SJ</searchLink>; Department of Mechanical Engineering, Jansons Institute of Technology, Coimbatore, India. s.j.davishans@jit.ac.in.<br /><searchLink fieldCode="AU" term="%22Muthukumaran+M%22">Muthukumaran M</searchLink>; Department of Mechanical Engineering, Jansons Institute of Technology, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Kumaresan+K%22">Kumaresan K</searchLink>; Department of Mechanical Engineering, Park College of Technology, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Pradeep+Kumar+VG%22">Pradeep Kumar VG</searchLink>; Department of Mechanical Engineering, JSS Science and Technology University, Mysuru, 570006, India.<br /><searchLink fieldCode="AU" term="%22Goudar+DM%22">Goudar DM</searchLink>; Department of Mechanical Engineering, Tontadarya College of Engineering, Gadag, 582101, India.<br /><searchLink fieldCode="AU" term="%22Bhat+SK%22">Bhat SK</searchLink>; Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. sk.bhat@manipal.edu. – 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. 42216. <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=41298651 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-26396-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 42216 Titles: – TitleFull: Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Davis Hans SJ – PersonEntity: Name: NameFull: Muthukumaran M – PersonEntity: Name: NameFull: Kumaresan K – PersonEntity: Name: NameFull: Pradeep Kumar VG – PersonEntity: Name: NameFull: Goudar DM – PersonEntity: Name: NameFull: Bhat SK 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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