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...

詳細記述

書誌詳細

主要な著者:	Victoria Granja, C. Fred Higgs
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-01-01
シリーズ:	Lubricants
主題:	coefficient of friction prediction wear scar diameter prediction lubricated tribosystems deep learning four-ball tester tribological performance
オンライン･アクセス:	https://www.mdpi.com/2075-4442/14/1/22
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