Data-Driven AI Model for Time-Based Prediction of Friction and Wear in Lubricated Tribosystems

Accurately predicting friction and wear in lubricated tribosystems is essential for improving mechanical performance and durability. However, models that simultaneously predict the COF and wear remain scarce due to the complex, non-linear nature of these phenomena and the absence of a direct correla...

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Bibliografische gegevens

Hoofdauteurs:	Victoria Granja, C. Fred Higgs
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2026-01-01
Reeks:	Lubricants
Onderwerpen:	coefficient of friction prediction wear scar diameter prediction lubricated tribosystems deep learning four-ball tester tribological performance
Online toegang:	https://www.mdpi.com/2075-4442/14/1/22
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