scholarly journals Kinetics of intermetallic phase growth and determination of diffusion coefficients in solid–solid-state reaction between Cu and (Sn+1at.%Ni) pads

2017 ◽  
Vol 52 (17) ◽  
pp. 10533-10544 ◽  
Author(s):  
A. Wierzbicka-Miernik ◽  
K. Miernik ◽  
R. Filipek ◽  
K. Szyszkiewicz
2019 ◽  
Vol 38 (2019) ◽  
pp. 151-157 ◽  
Author(s):  
Bartek Wierzba ◽  
Wojciech J. Nowak ◽  
Daria Serafin

AbstractThe interdiffusion in Ti-based alloys was studied. It was shown that during diffusion at 1,123 K formation of four intermetallic phases occurs. The diffusion paths for six different diffusion couples were determined. Moreover, the entropy production was calculated – the approximation used for determination of the sequence of intermetallic phase formation. In theoretical analysis, the intrinsic diffusion coefficients were determined from the modified Wagner method.


1990 ◽  
Vol 65 (16) ◽  
pp. 2019-2022 ◽  
Author(s):  
G. Mazzone ◽  
A. Montone ◽  
M. Vittori Antisari

1998 ◽  
Vol 145 (6) ◽  
pp. 2090-2094 ◽  
Author(s):  
Takaya Akashi ◽  
Makoto Nanko ◽  
Toshio Maruyama ◽  
Yuzo Shiraishi ◽  
Jun Tanabe

JOM ◽  
2021 ◽  
Author(s):  
Evgeny T. Moiseenko ◽  
Sergey M. Zharkov ◽  
Roman R. Altunin ◽  
Oleg V. Belousov ◽  
Leonid A. Solovyov ◽  
...  

2008 ◽  
Vol 368-372 ◽  
pp. 265-267 ◽  
Author(s):  
Hui Zhu Zhou ◽  
Lei Dai ◽  
Yue Hua Li ◽  
Yin Lin Wu ◽  
Ling Wang ◽  
...  

Mg ion conductors, MgAl2O4 and MgZr4(PO4)6, were prepared by solid state reaction. Their electrical properties were measured and their application in electrochemical sensors for on-line determination of Mg in molten Al in the refining process and alloying process was examined. The activation energies for Mg ion conduction in MgAl2O4 and MgZr4(PO4)6 are 2.08 eV and 1.7 eV, respectively. The sensors have been found to respond rapidly to the change of Mg content in molten aluminium around 1000 K.


2001 ◽  
Vol 16 (6) ◽  
pp. 1862-1871 ◽  
Author(s):  
Jiří Málek ◽  
Takefumi Mitsuhashi ◽  
José Manuel Criado

A simple method for kinetic analysis of solid-state processes has been developed. A criteria capable of classifying different processes is explored here with a view toward visualizing the complexity of solid-state kinetics. They provide a useful tool for the determination of the most suitable kinetic model. The method has been applied to the analysis of crystallization processes in amorphous ZrO2 and RuO2. It is found that the crystallization kinetics of as-prepared sample exhibits a complex behavior under nonisothermal conditions. This is probably due to an overlapping of the nucleation- and crystal-growth processes at the beginning of crystallization. As a consequence, the Johnson–Mehl–Avrami nucleation-growth model cannot be applied. A two-parameter autocatalytic model provides a good description of the crystallization process under isothermal and nonisothermal conditions.


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