Artificial neural network modeling of sliding wear
dc.contributor.author | Argatov, Ivan I. | |
dc.contributor.author | Chai, Young S. | |
dc.date.accessioned | 2021-03-29T07:26:11Z | |
dc.date.available | 2021-03-29T07:26:11Z | |
dc.date.issued | 2021-04-01 | |
dc.date.updated | 2021-03-20T21:22:20Z | |
dc.description | This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively. | en |
dc.description | Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich. | de |
dc.description.abstract | A widely used type of artificial neural networks, called multilayer perceptron, is applied for data-driven modeling of the wear coefficient in sliding wear under constant testing conditions. The integral and differential forms of wear equation are utilized for designing an artificial neural network-based model for the wear rate. The developed artificial neural network modeling framework can be utilized in studies of wearing-in period and the so-called true wear coefficient. Examples of the use of the developed approach are given based on the experimental data published recently. | en |
dc.identifier.eissn | 2041-305X | |
dc.identifier.issn | 1350-6501 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/12897 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-11698 | |
dc.language.iso | en | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
dc.subject.other | wear coefficient | en |
dc.subject.other | sliding wear | en |
dc.subject.other | artificial neural network | en |
dc.subject.other | specific wear rate | en |
dc.subject.other | aluminum alloy matrix composites | en |
dc.title | Artificial neural network modeling of sliding wear | en |
dc.type | Article | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.doi | 10.1177/1350650120925582 | en |
dcterms.bibliographicCitation.issue | 4 | en |
dcterms.bibliographicCitation.journaltitle | Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology | en |
dcterms.bibliographicCitation.originalpublishername | SAGE | en |
dcterms.bibliographicCitation.originalpublisherplace | London | en |
dcterms.bibliographicCitation.pageend | 757 | en |
dcterms.bibliographicCitation.pagestart | 748 | en |
dcterms.bibliographicCitation.volume | 235 | en |
tub.accessrights.dnb | domain | * |
tub.affiliation | Fak. 5 Verkehrs- und Maschinensysteme::Inst. Mechanik::FG Systemdynamik und Reibungsphysik | de |
tub.affiliation.faculty | Fak. 5 Verkehrs- und Maschinensysteme | de |
tub.affiliation.group | FG Systemdynamik und Reibungsphysik | de |
tub.affiliation.institute | Inst. Mechanik | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |