Electronic Structure of Pd- and Zr-based Bulk Metallic Glasses Studied by Use of Hard X-ray Photoelectron Spectroscopy

Author(s):  
Kazuo Soda ◽  
Shunji Ota ◽  
Takaharu Suzuki ◽  
Hidetoshi Miyazaki ◽  
Manabu Inukai ◽  
...  
1986 ◽  
Vol 34 (10) ◽  
pp. 6874-6879 ◽  
Author(s):  
M. G. Thube ◽  
S. K. Kulkarni ◽  
D. Huerta ◽  
Arun S. Nigavekar

2005 ◽  
Vol 20 (10) ◽  
pp. 2647-2653 ◽  
Author(s):  
C.Y. Tam ◽  
C.H. Shek

The oxidation kinetics and the effects of alloying on the oxidation behaviors of copper-based bulk metallic glasses were studied. The oxidation kinetics, oxide compositions, and structures were investigated by thermogravimetric analysis (TGA), x-ray diffraction, x-ray photoelectron spectroscopy (XPS), and scanning electron microscopy. Both the TGA results and the XPS depth profile measurements showed that the oxidation resistance of Cu60Zr30Ti10 bulk metallic glass was improved by adding Hf, but it deteriorated when it was alloyed with Y. The oxide phases were found to be ZrO2, Cu2O, and CuO in samples heated at 573 K while an additional metallic Cu phase was detected in the ones heated at 773 K. A porous oxide structure was observed in the (Cu0.6Zr0.3Ti0.1)98Y2 metallic glass oxidized at 673 K, and the poor oxidation resistance of the alloy is attributed to the porous structure.


Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 729
Author(s):  
Junhyub Jeon ◽  
Namhyuk Seo ◽  
Hwi-Jun Kim ◽  
Min-Ha Lee ◽  
Hyun-Kyu Lim ◽  
...  

Fe-based bulk metallic glasses (BMGs) are a unique class of materials that are attracting attention in a wide variety of applications owing to their physical properties. Several studies have investigated and designed the relationships between alloy composition and thermal properties of BMGs using an artificial neural network (ANN). The limitation of the wide-scale use of these models is that the required composition is yet to be found despite numerous case studies. To address this issue, we trained an ANN to design Fe-based BMGs that predict the thermal properties. Models were trained using only the composition of the alloy as input and were created from a database of more than 150 experimental data of Fe-based BMGs from relevant literature. We adopted these ANN models to design BMGs with thermal properties to satisfy the intended purpose using particle swarm optimization. A melt spinner was employed to fabricate the designed alloys. X-ray diffraction and differential thermal analysis tests were used to evaluate the specimens.


2000 ◽  
Vol 447 (1-3) ◽  
pp. 112-116 ◽  
Author(s):  
I.N. Shabanova ◽  
V.I. Kormilets ◽  
L.D. Zagrebin ◽  
N.S. Terebova

1988 ◽  
Vol 99 (1-2) ◽  
pp. 317-320 ◽  
Author(s):  
R. Zehringer ◽  
P. Oelhafen ◽  
H.-J. Güntherodt ◽  
Y. Yamada ◽  
U. Mizutani

2019 ◽  
Vol 470 ◽  
pp. 607-612 ◽  
Author(s):  
Martin Magnuson ◽  
Grzegorz Greczynski ◽  
Fredrik Eriksson ◽  
Lars Hultman ◽  
Hans Högberg

1983 ◽  
Vol 27 (4) ◽  
pp. 2145-2178 ◽  
Author(s):  
John C. Fuggle ◽  
F. Ulrich Hillebrecht ◽  
R. Zeller ◽  
Zygmunt Zołnierek ◽  
Peter A. Bennett ◽  
...  

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