The Effect of Sn (0, 0.5, 1 and 3 wt.%) on the Mechanical Properties of Gravity Casting Mg-3Al Alloy and a Neural Network Application for Prediction

被引：0
|
作者：
Acikgoz, Neslihan [1 ]
Acikgoz, Sehzat [2 ]
Sevik, Huseyin [3 ]
Kurnaz, S. Can [2 ]
机构：
[1] Sakarya Univ, Fac Engn, Dept Ind Engn, Sakarya, Turkey
[2] Sakarya Univ, Fac Engn, Dept Met & Mat Engn, Sakarya, Turkey
[3] Mersin Univ, Fac Engn, Dept Met & Mat Engn, Mersin, Turkey
来源：
3RD INTERNATIONAL ADVANCES IN APPLIED PHYSICS AND MATERIALS SCIENCE CONGRESS | 2013年 / 1569卷
关键词：
Mg Alloys; Mechanical Tests; Neural Network Model for Prediction; AS-CAST; MICROSTRUCTURE;
D O I：
10.1063/1.4849218
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this study, the influence of Sit (0, 0,5, 1 and 3 wt.%) addition on the yield and ultimate tensile strength (UTS) and elongation values of Mg-3Al alloy was investigated. The alloys were produced under a controlled atmosphere by a gravity-casting process. The results show that yield and ultimate tensile strength of based alloy increased by adding Sn up to 1 wt. %. These ultimate tensile tests and casting process are taking a lot time and cost. So, a neural network (NN) model was developed for prediction these mechanical effects using varied Sn additions. At the end of the testing whether the NN model is suitable for this case, it was seemed that results checked the system accuracy.
引用
收藏
页码：11 / 14
页数：4
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