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Metals 2015, 5(2), 836-849; https://doi.org/10.3390/met5020836

A Mathematical Formulation to Estimate the Effect of Grain Refiners on the Ultimate Tensile Strength of Al-Zn-Mg-Cu Alloys

1,â€
and
2,â€
1
Technical Sciences, University of Gaziantep, Gaziantep 27310, Turkey
2
Department of Metallurgical and Materials Engineering, Engineering Faculty, FÄ±rat University, ElazÄ±ÄŸ 23119, Turkey
â€
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 13 February 2015 / Accepted: 13 May 2015 / Published: 22 May 2015

Abstract

In this study, the feed-forward (FF) neural networks (NNs) with back-propagation (BP) learning algorithm is used to estimate the ultimate tensile strength of unrefined Al-Zn-Mg-Cu alloys and refined the alloys by Al-5Ti-1B and Al-5Zr master alloys. The obtained mathematical formula is presented in great detail. The designed NN model shows good agreement with test results and can be used to predict the ultimate tensile strength of the alloys. Additionally, the effects of scandium (Sc) and carbon (C) rates are investigated by using the proposed equation. It was observed that the tensile properties of Al-Zn-Mg-Cu alloys improved with the addition of 0.5 Sc and 0.01 C wt.%. View Full-Text
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MDPI and ACS Style

Kurt, H.I.; Oduncuoglu, M.; Kurt, M. A Mathematical Formulation to Estimate the Effect of Grain Refiners on the Ultimate Tensile Strength of Al-Zn-Mg-Cu Alloys. Metals 2015, 5, 836-849.

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