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Machine learning and response surface methodology for optimization and prediction of tribological performance of PLA/rice husk biochar composites

Abstract The present study investigates the tribological behaviour of polylactic acid (PLA) composites reinforced with rice husk biochar (RHBC) through an integrated approach combining experimentation, statistical optimization, and machine learning. PLA/RHBC composites with filler contents ranging f...

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Bibliografski detalji
Glavni autori: Sundarasetty Harishbabu, Amina Salhi, Leila Jamel, Borhen Louhichi, It Ee Lee, Santosh Kumar Sahu, Qamar Wali
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2026-05-01
Serija:Scientific Reports
Teme:
Online pristup:https://doi.org/10.1038/s41598-026-51463-5
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