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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Bibliografiska uppgifter

Huvudupphov:	Victoria Granja, C. Fred Higgs
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2026-01-01
Serie:	Lubricants
Ämnen:	coefficient of friction prediction wear scar diameter prediction lubricated tribosystems deep learning four-ball tester tribological performance
Länkar:	https://www.mdpi.com/2075-4442/14/1/22
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