Optimizing the processing parameters of producing Al–Si alloys using sodium fluosilicate <i>via</i> artificial neural network
This study investigates the optimal conditions for producing Al–Si cast alloys by reacting sodium fluorosilicate (Na 2 SiF 6 ) with molten aluminium, employing artificial neural network via the Levenberg–Marquardt algorithm (LMA-ANN).
Authors
- Hassan Gomaa
- Gamal M. A. Mahran (ORCID: https://orcid.org/0000-0003-1518-7907)
- A. M. Omran (ORCID: https://orcid.org/0000-0001-8735-8563)
- Mahamed Abd-El-Hakeem Mahamed
Institutions
- Al-Azhar University (EG)
- King Abdulaziz University (SA)
- Egyptian Atomic Energy Authority (EG)
Publication Details
- Journal
- Materials Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ma00142k
- Primary Topic
- Aluminum Alloy Microstructure Properties
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Abdulaziz University