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

Metals

Halil Ibrahim Kurt²  Murat Oduncuoglu²  Mehmet Kurt¹ 

[1] Department of Metallurgical and Materials Engineering, Engineering Faculty, Fırat University, Elazığ 23119, Turkey; E-Mail:;Technical Sciences, University of Gaziantep, Gaziantep 27310, Turkey; E-Mail:

关键词: Al-Zn-Mg-Cu alloys;    ultimate tensile strength;    modeling;    ANN;   

DOI  :  10.3390/met5020836

来源: mdpi

【 摘 要 】

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.%.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.