Work

Optimizing the processing parameters of producing Al–Si alloys using sodium fluosilicate via artificial neural network

Year: 2025

Type: article

Abstract: 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).

Source: Materials Advances

DOI: 10.1039/d5ma00142k

Authors: Gamal M. A. Mahran, Abdel-Nasser M. Omran, Hassan E. M. Gomaa, Mahamed Abd-El-Hakeem Mahamed

Institutions: King Abdulaziz University, Al-Azhar University, Egyptian Atomic Energy Authority

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,962

Funder: King Abdulaziz University

Award: G8980552446

OpenAlex ID: W4411205233

FWCI: 0.208

Cites: 18

Cited by: 1

Related to: 10