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Metallurgical and Materials Transactions A
Published in: Metallurgical and Materials Transactions A 13/2012

01-12-2012

Assistance of Novel Artificial Intelligence in Optimization of Aluminum Matrix Nanocomposite by Genetic Algorithm

Authors: Ali Mazahery, Mohsen Ostad Shabani

Published in: Metallurgical and Materials Transactions A | Issue 13/2012

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Abstract

In this article, a genetic algorithm (GA) is used to predict the mechanical properties and to optimize the process conditions of Al nanocomposites. An artificial intelligence method is also implemented as an assisting tool for engineering tasks of GAs. The principle of the survival of the fittest is applied to produce successively superior approximations to a solution. A population of points at each iteration is generated. The population approaches an optimal solution. The next population by computations that involve random choices is selected. The optimal volume percentage of SiC, cooling rate, and temperature gradient are computed to be 2.84 pct, 283 K/s (10 °C/s), 1273 K/m (1000 °C/m), respectively.
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Metadata
Title
Assistance of Novel Artificial Intelligence in Optimization of Aluminum Matrix Nanocomposite by Genetic Algorithm
Authors
Ali Mazahery
Mohsen Ostad Shabani
Publication date
01-12-2012
Publisher
Springer US
Published in
Metallurgical and Materials Transactions A / Issue 13/2012
Print ISSN: 1073-5623
Electronic ISSN: 1543-1940
DOI
https://doi.org/10.1007/s11661-012-1339-6

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