Solute diffusion in dilute alloys

Claire, A.D. Le

doi:10.1016/0022-3115(78)90237-4

Cited by 299 publications

(154 citation statements)

References 140 publications

Supporting

Mentioning

148

Contrasting

Order By: Relevance

“…The diffusion of dilute solutes in a host metal is a classical problem within materials science which has been treated by the well-known 5-freqency model and gives the correlation factor [10][11][12][13] . The 5-frequency model considers five distinct jump frequencies W i , i=1,…5, associated with vacancy hops relevant to solute motion as indicated in Figure 3.…”

Section: Vs = (A 2 /6) [Probability Of Vs Complex] [Correlation Facmentioning

confidence: 99%

Microalloying for the controllable delay of precipitate formation in metal alloys

Francis

2016

Acta Materialia

View full text Add to dashboard Cite

A model is presented to predict the effectiveness of dilute solutes in delaying precipitate formation, with application to natural and artificial aging in metal alloys. Control of aging is achieved via the binding, at natural aging temperatures, and release, at artificial aging temperatures, of excess quenched vacancies by the solute atoms. The binding of vacancies to the solute atoms reduces the vacancy concentration in the bulk lattice, and thus reduces the rate of transport processes that control aging. To be useful, this strategy requires sufficiently strong, but not too strong, vacancy-solute binding, and sufficiently slow vacancy-solute diffusion, both quantified through application of the model. First-principles methods are used to compute the controlling materials properties (vacancy-solute binding energies and migration barrier) for a range of solutes in Al and Mg, and Pauli Electronegativity of the solute relative to the host metal is found useful for correlating properties. With the computed inputs, the model is applied to representative solutes (Ga, Sn, Pb) in Al that span weak to strong vacancy binding. Predictions of the model to Sn in Al are then shown to qualitatively agree with experiments, with quantitative agreement possible using a slightly stronger Sn-vacancy binding energy. The general model should be useful for identifying promising dilute solutes for control of precipitation/aging across many alloys in which quenched vacancies are used to control precipitation.

show abstract

Section: Vs = (A 2 /6) [Probability Of Vs Complex] [Correlation Facmentioning

confidence: 99%

Microalloying for the controllable delay of precipitate formation in metal alloys

Francis

2016

Acta Materialia

View full text Add to dashboard Cite

show abstract

“…The diffusion of substitutional impurities can also be represented in this exponential form, but with a different activation energy [1,2,3]:…”

Section: Diffusion and Electromigrationmentioning

confidence: 99%

“…The impurity-vacancy interaction enters into the activation energy difference in a very direct way [3,4] -impurities with negative impurity-vacancy interaction energies attract vacancies to nearest-neighbour sites thereby lowering the activation energy, while positive impurity-vacancy interactions indicate repulsion, and an increase in the activation energy. If we assume that the migration energies are similar to those for the bulk atoms, then impurities with attractive impurityvacancy interactions will tend to have lower activation energies than self-diffusion, and will therefore be fast diffusers.…”

Section: Diffusion and Electromigrationmentioning

confidence: 99%

See 1 more Smart Citation

Electronic structure calculations of vacancies and their influence on materials properties

Sterne

Howell

1998

Computational Materials Science

View full text Add to dashboard Cite

August 1997This is a preprint of a paper intended for publication in a journal or proceedings. Since changes may be made before publication, this preprint is made available with the understanding that it will not be cited or reproduced without the permission of the author. PREPRINTThis paper was prepared for submittal to the DISCLAIMER This document was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the University of California nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or the University of California, and shall not be used for advertising or product endorsement purposes.

show abstract

“…The diffusion coefficient of Cu can be calculated by the classical LeClaire multi-frequency model 42 or MD method. The former by calculating the diffusion barrier of vacancy with different diffusion paths can calculate the solvent and solute diffusion coefficient.…”

Section: Simulation Methodsmentioning

confidence: 99%

Vacancy enhanced formation and phase transition of Cu-rich precipitates in α - iron under neutron irradiation

Zhang

et al. 2016

AIP Advances

View full text Add to dashboard Cite

In this paper, we employed both molecular statics and molecular dynamics simulation methods to investigate the role of vacancies in the formation and phase transition of Cu-rich precipitates in α-iron. The results indicated that vacancies promoted the diffusion of Cu atoms to form Cu-rich precipitates. After Cu-rich precipitates formed, they further trapped vacancies. The supersaturated vacancy concentration in the Cu-rich precipitate induced a shear strain, which triggered the phase transition from bcc to fcc structure by transforming the initial bcc (110) plane into fcc (111) plane. In addition, the formation of the fcc-twin structure and the stacking fault structure in the Cu-rich precipitates was observed in dynamics simulations.

show abstract

Solute diffusion in dilute alloys

Cited by 299 publications

References 140 publications

Microalloying for the controllable delay of precipitate formation in metal alloys

Microalloying for the controllable delay of precipitate formation in metal alloys

Electronic structure calculations of vacancies and their influence on materials properties

Vacancy enhanced formation and phase transition of Cu-rich precipitates in α - iron under neutron irradiation

Contact Info

Product

Resources

About