Artificial neural network approach for predicting the mechanical properties of Al7475/Flyash/SiC hybrid composite
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10751-024-01993-z.pdf
Reference12 articles.
1. Gugulothu, B., Nagarajan, N., Pradeep, A., Saravanan, G., Vijayakumar, S., Rao, J.: Analysis of mechanical properties for Al-MMC fabricated through an optimized stir casting process. J. Nanomaterials. 2022(1–7) (2022). https://doi.org/10.1155/2022/2081189
2. Raju, P.V.K., Rajesh, S., Rao, J.B., Bhargava, N.R.M.R.: Tribological behavior of Al-Cu alloys and innovative Al-Cu metal matrix composite fabricated using stir-casting technique. Mater. Today: Proc. 5(1), 885–896 (2018). https://doi.org/10.1016/j.matpr.2017.11.161
3. Maddaiah, K.C., Kumar, G.B.V., Pramod, R.: Studies on the mechanical, strengthening mechanisms and tribological characteristics of AA7150-Al2O3 nano-metal matrix composites. J. Compos. Sci. 8(3), 97 (2024). https://doi.org/10.3390/jcs8030097
4. Kanth, U.R., Rao, P.S., Krishna, M.G.: Mechanical behaviour of fly ash/SiC particles reinforced Al-Zn alloy-based metal matrix composites fabricated by stir casting method. J. Mater. Res. Technol. 8(1), 737–744 (2019). https://doi.org/10.1016/j.jmrt.2018.06.003
5. Singhal, S., Ahmad Khan, S., Muaz, M., Ahmed, E.: Simulation of mechanical properties of stir cast aluminum matrix composites through Artificial Neural Networks (ANN). Materials Today: Proceedings, 72, 1102–1109. (2023). https://doi.org/10.1016/j.matpr.2022.09.174
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