Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses

2019 ◽  
Vol 9 (02) ◽  
pp. 576-585 ◽  
Author(s):  
Jie Xiong ◽  
Tong-Yi Zhang ◽  
San-Qiang Shi

Abstract

2014 ◽  
Vol 29 (12) ◽  
pp. 1362-1368 ◽  
Author(s):  
B.W. Zhou ◽  
L. Deng ◽  
X.G. Zhang ◽  
W. Zhang ◽  
H. Kimura ◽  
...  

Abstract


2011 ◽  
Vol 26 (4) ◽  
pp. 539-546 ◽  
Author(s):  
Nengbin Hua ◽  
Shujie Pang ◽  
Yan Li ◽  
Jianfeng Wang ◽  
Ran Li ◽  
...  

Abstract


2016 ◽  
Vol 6 ◽  
pp. 1157-1160 ◽  
Author(s):  
Haitao Zong ◽  
Linyan Bian ◽  
Jingyun Cheng ◽  
Guohua Cao ◽  
Chaoyang Kang ◽  
...  

Metals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 767
Author(s):  
Xianfeng Zhang ◽  
Xiao Cui ◽  
Zhuotong Du ◽  
Fangqiu Zu ◽  
Jinjing Li ◽  
...  

The internal friction (IF) behaviors of a series of LaCe-, Zr-, and La-based bulk metallic glasses (BMGs) were studied by a computer-controlled, conventional inverted torsion pendulum. The results indicate that with an increasing temperature, the IF also increases gradually in the supercooled liquid region, followed by a decrease caused by crystallization. BMGs with a good glass forming ability (GFA) usually possess a high IF peak value for an alloy system with the same constituent elements. Furthermore, the magnitude of the IF value (Qi−1) of the inflection point is an efficient criterion of GFA. The Qi−1 value is a valid criterion under the conditions of identical constituent elements and different element contents. However, Qi−1 and GFA have no relationship among different alloy systems.


2012 ◽  
Vol 536 ◽  
pp. S117-S121 ◽  
Author(s):  
Y.H. Li ◽  
W. Zhang ◽  
C. Dong ◽  
J.B. Qiang ◽  
G.Q. Xie ◽  
...  

2006 ◽  
Vol 55 (6) ◽  
pp. 517-520 ◽  
Author(s):  
Q.G. Meng ◽  
S.G. Zhang ◽  
J.G. Li ◽  
X.F. Bian

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