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Experimental and machine learning study on friction stir surface alloying in Al1050-Cu Alloy

Category
Materials engineering / Metallurgy
Domain: Applied
Journal
peer reviewed
open access
Year
2024
tensile-test
al1050-aluminum
genetic-programming

Abstract

This study employs friction stir processing to create a surface alloy using Al1050 aluminum as the base material, with Cu powder applied to enhance surface properties. Various parameters, including tool rotation speed, feed rate, and the number of passes, are investigated for their effects on the microstructure and mechanical properties of the resulting surface alloy. The evaluation methods include tensile testing, microhardness measurements, and metallographic examinations. The initial friction stir alloying pass produced a non-uniform stir zone, which was subsequently homogenized with additional passes. Through the plasticization of Al1050, initial agglomerates of copper particles were compacted into larger ones and saturated with aluminum. The alloyed samples exhibited up to an 80% increase in the strength of the base metal. This significant enhancement is attributed to the Cu content and grain size refinement post-alloying. Additionally, machine learning techniques, specifically Genetic Programming, were used to model the relationship between processing parameters and the mechanical properties of the alloy, providing predictive insights for optimizing the surface alloying process.
Bibtex:
@article{pedrammehr2024experimental,
  title={Experimental and machine learning study on friction stir surface alloying in Al1050-Cu Alloy},
  author={Pedrammehr, Siamak and Sajed, Moosa and Al-Abdullah, Kais I Abdul-Lateef and Pakzad, Sajjad and Zare Jond, Ahad and Chalak Qazani, Mohammad Reza and Ettefagh, Mir Mohammad},
  journal={Journal of Manufacturing and Materials Processing},
  volume={8},
  number={4},
  pages={163},
  year={2024},
  publisher={MDPI}
}
Details:
journal:
Journal of Manufacturing and Materials Processing
volume:
8
number:
4
pages:
163
year:
2024
publisher:
MDPI
URL mdpi.com
Posted by s.pedrammehr
2024-09-30 13:04