Estimation of mass loss under wear test of nanoclay-epoxy nanocomposite using response surface methodology and artificial neural networks

Abstract In this work, the wear behavior of nanoclay-epoxy nanocomposites is studied through Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) as predictive models. This study aims to measure mass loss under wear conditions by studying critical parameters like nanoclay wt%, loa...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Manjunath Shettar, Ashwini Bhat, Nagaraj N. Katagi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-06-01
Serie:	Scientific Reports
Soggetti:	Nanoclay Epoxy Composite materials Composite manufacturing Wear Response surface methodology
Accesso online:	https://doi.org/10.1038/s41598-025-05263-y
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!