Intelligent real-time tool life prediction for a digital twin framework.
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| Title: | Intelligent real-time tool life prediction for a digital twin framework. |
|---|---|
| Authors: | Dominguez-Caballero, Javier1 (AUTHOR) j.dominguez-caballero@sheffield.ac.uk, Ayvar-Soberanis, Sabino1 (AUTHOR), Curtis, David1 (AUTHOR) |
| Source: | Journal of Intelligent Manufacturing. Apr2026, Vol. 37 Issue 4, p1491-1511. 21p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 192844959 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=bsu&AN=192844959 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-025-02606-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1491 Titles: – TitleFull: Intelligent real-time tool life prediction for a digital twin framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dominguez-Caballero, Javier – PersonEntity: Name: NameFull: Ayvar-Soberanis, Sabino – PersonEntity: Name: NameFull: Curtis, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 37 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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