A novel approach for modeling wear at macro length and time scales in discrete element systems.
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| Title: | A novel approach for modeling wear at macro length and time scales in discrete element systems. |
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| Authors: | Sameer, Muhammad1 (AUTHOR), Fred Higgs III, C.1 (AUTHOR) higgs@rice.edu |
| Source: | Tribology International. Jan2026, Vol. 213, pN.PAG-N.PAG. 1p. |
| Subjects: | Discrete element method, Computer simulation, Mathematical optimization, Engineering systems |
| Abstract: | Wear, a microscale phenomenon occurring over extensive time, presents significant challenges for computational modeling. This study introduces a novel discrete element method (DEM) approach to model wear at the particle scale, applying Archard's equation independent of particle size. To address the high computational cost of large time-scale simulations, an accelerated wear extrapolation technique was developed, reducing computational load. Two distribution algorithms were implemented to manage excess wear across particles, ensuring wear conservation and accuracy. A pin-on-disk simulation validated the methods, showcasing wear distribution and extrapolation benefits. Results highlight a robust framework that integrates particle-scale modeling with efficient time-scale extrapolation, enhancing DEM's applicability for simulating complex, long-term wear in real-world engineering problems. [ABSTRACT FROM AUTHOR] |
| Copyright of Tribology International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188598013 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A novel approach for modeling wear at macro length and time scales in discrete element systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sameer%2C+Muhammad%22">Sameer, Muhammad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fred+Higgs+III%2C+C%2E%22">Fred Higgs III, C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> higgs@rice.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Tribology+International%22">Tribology International</searchLink>. Jan2026, Vol. 213, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Discrete+element+method%22">Discrete element method</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+systems%22">Engineering systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Wear, a microscale phenomenon occurring over extensive time, presents significant challenges for computational modeling. This study introduces a novel discrete element method (DEM) approach to model wear at the particle scale, applying Archard's equation independent of particle size. To address the high computational cost of large time-scale simulations, an accelerated wear extrapolation technique was developed, reducing computational load. Two distribution algorithms were implemented to manage excess wear across particles, ensuring wear conservation and accuracy. A pin-on-disk simulation validated the methods, showcasing wear distribution and extrapolation benefits. Results highlight a robust framework that integrates particle-scale modeling with efficient time-scale extrapolation, enhancing DEM's applicability for simulating complex, long-term wear in real-world engineering problems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Tribology International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188598013 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.triboint.2025.110756 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Discrete element method Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Engineering systems Type: general Titles: – TitleFull: A novel approach for modeling wear at macro length and time scales in discrete element systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sameer, Muhammad – PersonEntity: Name: NameFull: Fred Higgs III, C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0301679X Numbering: – Type: volume Value: 213 Titles: – TitleFull: Tribology International Type: main |
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