Wear behavior of glass fiber reinforced composite with nanoparticles of Al2O3 through artificial neural network
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0193879
Reference21 articles.
1. Using ANN and OA techniques to determine the specific wear rate effectors of A356 Al-Si/Al2O3 MMC
2. A Study on the Al2O3 reinforced Al7075 Metal Matrix Composites Wear behavior using Artificial Neural Networks
3. Rahimov, M., Akgün M. Treatment of metal cutting fluid wastewater over Pt/Al203 and Ru/Al203 in supercritical water medium. Journal of Water Process Engineering. 2022 April 1;46.
4. Reduction of cycle time by addition of silicon carbide filler to syndiotactic polystyrene/glass fiber composites
5. Thermo-mechanical properties of silicon carbide filled chopped glass fiber reinforced epoxy composites
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