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Inter-diffusion Behavior Of Ce-Ga-Cu Ternary Alloy Melt

Posted on:2022-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:W Z WangFull Text:PDF
GTID:2481306557981629Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
Ce-based amorphous alloy is a typical bulk amorphous alloy,and its unique physical properties and strong amorphous forming ability are important directions for condensed matter physics research.Studying the dynamic behavior of atoms in Ce-based alloy melt is helpful to understand the formation mechanism of amorphous.In this paper,the multi-layer translational shear technology is used to systematically study the diffusion behavior of atoms in Ce-based binary and ternary alloy melts(Ce80Ga20,Ce80Cu20 and Ce70Ga10Cu20).In this paper,the inter-diffusion coefficient of Ce-based binary alloy melts(Ce80Ga20and Ce80Cu20)is measured by the multi-layer translational shear technique.The research results show that the temperature dependence of the mutual diffusion coefficient of the two alloy melts satisfies the Arrhenius relationship,the thermodynamic factors of the two systems are both greater than 1,and the median value of the Ce80Ga20 alloy is larger.Combining the self-diffusion coefficient measured by Wan et al.and the inter-diffusion coefficient measured in this paper,it is found that the Darken equation cannot be used to describe the inter-diffusion behavior of the Ce80Cu20 system.It is necessary to introduce a kinetic factor S(S is between 1.14-1.29),which shows that The thermodynamic factor and the kinetic factor mutual diffusion coefficient both play a promoting role,which makes the Darken equation invalid.Through the analysis of the Ce-Cu system cross-diffusion coefficient and standard cross-diffusion coefficient,it can be seen that the deviation of the Darken equation in Ce-Cu melt is mainly due to the cross-diffusion coefficient between Ce-Cu atoms and Cu-Cu atoms to its standard cross-diffusion coefficient The deviation determines that the interaction between Cu-Cu atoms dominates.In this paper,the inter-diffusion coefficient of Ce70Ga10Cu20 ternary alloy melt is measured for the first time by using multi-layer translational shear technology.The global optimization algorithm is used to analyze the measured concentration spectrum,and it is found that the main diffusion coefficient has a greater impact on the diffusion behavior,and the cross-diffusion diffusion coefficient has a small effect;and by studying the effect of the interaction coefficient on the mutual diffusion coefficient of ternary alloy melt It is found that the interaction coefficient of the ternary alloy melt is very important for the solution of the mutual diffusion coefficient of the ternary system.At the same time,it also shows that the size of the mutual diffusion coefficient has a strong correlation with the thermodynamic influence factor.Compared with Ce80Ga20and Ce80Cu20 binary alloy melts,it is found that the addition of the third component can reduce the diffusion rate of atoms in the Ce Ga Cu system,and the inhibitory effect of Ga element is more obvious than that of Cu element.This paper uses first-principles molecular dynamics simulation to study the self-diffusion coefficients of atoms in Ce80Ga20and Ce80Cu20 alloy melts.According to the simulation results and the Darken equation,the mutual diffusion coefficient is compared with the experimental data,so as to study the relationship between self-diffusion and mutual diffusion.According to the computer simulation of Ce70Ga10Cu20 ternary alloy melt self-diffusion coefficient ratio and experimentally measured mutual diffusion coefficient,the ternary Darken equation is analyzed and discussed.It is found that the Darken formula cannot accurately describe the self-diffusion and mutual diffusion of Ce70Ga10Cu20 ternary alloy melt.The role of kinetic factors in the diffusion process cannot be ignored.
Keywords/Search Tags:Diffusion coefficient, Ce-based alloy melt, multilayer translational shear technology, thermodynamic factor, kinetic factor, global optimization algorithm, Interaction coefficient
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