Title: Evaluation of magnesium recovery in Al-Mg alloys produced by modified stir casting method using genetic algorithm optimisation technique

Authors: Rajesh Kumar Behera; Birajendu Prasad Samal; Sarat Chandra Panigrahi; Kamalakanta Muduli; Aezeden Mohamed; Ananya Samal

Addresses: Biju Patnaik University of Technology (BPUT), Chhend Colony, Rourkela-769004, Odisha, India ' Departments of Mechanical Engineering, Orissa Engineering College, Bhubaneswar-752050, Odisha, India ' Raajdhani Engineering College, Near Mancheswar Railway Colony, Bhubaneswar, Odisha, India ' Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, PMB 411, Morobe Province, Papua New Guinea ' Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, PMB 411, Morobe Province, Papua New Guinea ' Departments of Mechanical Engineering, Maharaja Institute of Technology, Taraboi, Khurda, Odisha, PIN-752050, India

Abstract: Generally, Al-Mg alloys are used for its light weight and high strength properties in automobile and aeronautical fields. In the present study an attempt is made to investigate the optimum magnesium recovery during the preparation of Al-Mg alloys. The process involves a modified stir casting method where plungers are used to feed magnesium turnings into the molten aluminium metal for Al-Mg alloys production. Use of artificial intelligence technique has been the recent trends in various fields. In the present study, genetic algorithm has been used as an optimisation technique to calculate Mg recovery in the Al-Mg alloys using experimental data. Different genetic operators like crossover and mutation has been used in the computational algorithm for optimised solution. It is found that, the maximum magnesium recovery percentage using modified stir casting method is more than 90%.

Keywords: genetic algorithm; modified stir casting method; furnace temperature; Al-Mg alloys; magnesium recovery.

DOI: 10.1504/IJMATEI.2021.115605

International Journal of Materials Engineering Innovation, 2021 Vol.12 No.2, pp.134 - 148

Received: 14 Oct 2020
Accepted: 28 Oct 2020
Published online: 11 Jun 2021 *

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