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Ş. Temiz

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Open access Sep 2026

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Accurate prediction of the tribological behavior of fiber‐reinforced polymer composites is essential for assessing their performance under different service conditions. This study presents an integrated statistical and machine learning framework for analyzing the dry sliding tribological behavior of carbon fiber re...

Ahmet Saylık, Ihsan Tugal, Ş. Temiz · 0 citations

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