Solute-vacancy clustering in aluminum
Source abstract
Abstract
We present an extensive first-principles database of solute-vacancy, homoatomic, heteroatomic solute-solute, and solute-solute-vacancy binding energies of relevant alloying elements in aluminum. We particularly focus on the systems with major alloying elements in aluminum, i.e., Cu, Mg, and Si. We consider physical factors such as solute size and formation energies of intermetallic compounds to correlate with binding energies. Systematic studies of the homoatomic solute-solute-vacancy and heteroatomic (Cu, Mg, or Si)-solute-vacancy complexes reveal the overarching effect of the vacancy in stabilizing solute-solute pairs. The computed binding energies of the solute-solute-vacancy triplet successfully explain several experimental observations that remained unexplained by the reported pair binding energies in literature. The binding energy database presented here elucidates the interaction between solute cluster and vacancy in aluminum, and it is expected to provide insight into the design of advanced Al alloys with tailored properties.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: X-ray Diffraction in Crystallography · Aluminum Alloy Microstructure Properties · Corrosion Behavior and Inhibition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (64)
Show source-provided references
1. Some metallographic observations on aged aluminium-copper alloys
2. Solute clustering in Al–Cu–Mg alloys during the early stages of elevated temperature ageing10.1016/j.actamat.2010.05.020 ↗
3. The effect of trace additions of sn on precipitation in Al-Cu alloys: an atom probe field ion microscopy study10.1007/BF02671236 ↗
4. Mechanisms controlling the artificial aging of Al–Mg–Si Alloys10.1016/j.actamat.2011.02.010 ↗
5. Influence of a microalloying addition of Ag on the precipitation kinetics of an Al–Cu–Mg alloy with high Mg: Cu ratio10.1016/j.actamat.2015.07.032 ↗
6. Improvement of bake-hardening response of Al-Mg-Cu alloys by means of nanocluster assist processing (NCAP) technique10.4028/www.scientific.net/MSF.519-521.215 ↗
7. Nanostructural hierarchy increases the strength of aluminium alloys10.1038/ncomms1062 ↗
8. Solute diffusion in dilute alloys10.1016/0022-3115(78)90237-4 ↗
9. Transforming solid-state precipitates via excess vacancies10.1038/s41467-020-15087-1 ↗
10. Impurity diffusion activation energies in Al from first principles10.1103/PhysRevB.79.054304 ↗
11. Binding energies and entropies of solute atoms and vacancies in metals
12. Role of silicon in accelerating the nucleation of Al 3(Sc,Zr) precipitates in dilute Al-Sc-Zr alloys10.1016/j.actamat.2012.05.036 ↗
13. Size-dependent diffusion controls natural aging in aluminium alloys10.1038/s41467-019-12762-w ↗
14. Precipitation strengthening of aluminum alloys by room-temperature cyclic plasticity10.1126/science.aav7086 ↗
15. Excess solvent in precipitates10.1038/s41563-018-0224-0 ↗
16. Cluster expansions for thermodynamics and kinetics of multicomponent alloys10.1007/s11669-015-0427-x ↗
17. Composition evolution of nanoscale Al3Sc precipitates in an Al-Mg-Sc alloy: experiments and computations10.1016/j.actamat.2005.08.035 ↗
18. Effective cluster interactions and pre–precipitate morphology in binary Al-based alloys10.1016/j.actamat.2019.08.011 ↗
19. Many-body mechanism of Guinier-Preston zones stabilization in Al–Cu alloys10.1016/j.scriptamat.2017.05.044 ↗
20. Solid solution decomposition and Guinier-Preston zone formation in Al-Cu alloys: a kinetic theory with anisotropic interactions
21. Atom probe tomography of nanoscale microstructures within precipitate free zones in Al–Zn–Mg (–Ag) alloys10.1016/j.actamat.2010.06.046 ↗
22. The mechanism of morphogenesis in a phase-separating concentrated multicomponent alloy10.1038/nmat1845 ↗
23. The influence of composition and natural aging on clustering during preaging in Al–Mg–Si alloys10.1063/1.3481090 ↗
24. Clustering behavior during natural aging and artificial aging in Al-Mg-Si alloys with different Ag and Cu addition10.1016/j.msea.2018.07.018 ↗
25. Nanoscale precipitation in aged Al–3.5 Cu–0.4 Mg–0.2 Ge alloy10.1016/j.msea.2013.06.083 ↗
26. Vacancy–solute interactions during multiple-step ageing of an Al–Cu–Mg–Ag alloy10.1016/j.scriptamat.2008.09.011 ↗
27. Effect of Cu and Ge on solute clustering in Al–Mg–Si alloys10.1016/j.msea.2016.01.095 ↗
28. Stability of vacancies during solute clustering in Al-Cu-based alloys10.1103/PhysRevB.65.094107 ↗
29. Solute-vacancy binding in aluminum10.1016/j.actamat.2007.06.039 ↗
30. First-principles study of solute–vacancy binding in magnesium10.1016/j.actamat.2009.09.031 ↗
31. Energetics of cobalt alloys and compounds and solute–vacancy binding in fcc cobalt: a first-principles database10.1016/j.actamat.2016.10.065 ↗
32. First-principles calculation of interaction energies between solutes and/or vacancies for predicting atomistic behaviors of microalloying elements in aluminum alloys10.4028/www.scientific.net/MSF.561-565.283 ↗
33. Local-density-functional calculations for defect interactions in Al10.1103/PhysRevB.53.8971 ↗
34. Solute segregation at the Al/θ′-Al2Cu interface in Al-Cu alloys10.1016/j.actamat.2017.09.020 ↗
35. Petascale supercomputing to accelerate the design of high-temperature alloys10.1080/14686996.2017.1371559 ↗
36. Solute-vacancy binding of the rare earths in magnesium from first principles10.1016/j.actamat.2012.06.016 ↗
37. Assessing the performance of recent density functionals for bulk solids10.1103/PhysRevB.79.155107 ↗
38. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set10.1016/0927-0256(96)00008-0 ↗
39. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set10.1103/PhysRevB.54.11169 ↗
40. VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron10.1016/j.cpc.2012.02.017 ↗
41. Accelerating VASP electronic structure calculations using graphic processing units10.1002/jcc.23096 ↗
42. Speeding up plane-wave electronic-structure calculations using graphics-processing units10.1016/j.cpc.2011.03.010 ↗
43. Accurate spin-dependent electron liquid correlation energies for local spin density calculations: a critical analysis10.1139/p80-159 ↗
44. Effects of vibrational entropy on the Al-Si phase diagram10.1088/0953-8984/17/13/017 ↗
45. Multiscale modeling of precipitate microstructure evolution10.1103/PhysRevLett.88.125503 ↗
46. The effect of native point defect thermodynamics on off-stoichiometry in β-Mg17Al1210.1016/j.actamat.2012.06.010 ↗
47. Materials design and discovery with high-throughput density functional theory: the open quantum materials database (OQMD)10.1007/s11837-013-0755-4 ↗
48. Vacancy-tuned precipitation pathways in Al-1.7 Cu-0.025 In-0.025 Sb (at.%) alloy10.1016/j.actamat.2017.09.025 ↗
49. Comments on a comparison of early and recent work on the effect of trace additions of Cd, In, or Sn on nucleation and growth of θ′ in Al–Cu alloys10.1016/S1359-6462(02)00003-9 ↗
50. Advanced nanostructural analysis of aluminium alloys using atom probe tomography10.4028/www.scientific.net/MSF.519-521.25 ↗
51. The magic thicknesses of θ′ precipitates in Sn-microalloyed Al–Cu10.1016/j.actamat.2011.10.015 ↗
52. Microstructural evolution and age hardening in aluminium alloys: atom probe field-ion microscopy and transmission electron microscopy studies10.1016/S1044-5803(99)00051-0 ↗
53. Nanocluster control for achieving high strength aluminum alloys10.2320/matertrans.M2017390 ↗
54. The role of co-clusters in the artificial aging of AA6061 and AA6060
55. Design strategy for controlled natural aging in Al–Mg–Si alloys10.1016/j.actamat.2016.07.048 ↗
56. Pre-precipitate clustering in an Al-Cu-Mg-Ag alloy10.1016/0956-716X(94)90184-8 ↗
57. Nucleation of precipitates in aged AlCuMg (Ag) alloys with high Cu: Mg ratios10.1016/1359-6454(95)00314-2 ↗
58. In situ evaluation of the microstructure evolution during rapid hardening of an Al–2.5 Cu–1.5 Mg (wt.%) alloy10.1016/j.actamat.2011.01.027 ↗
59. Solute nanostructures and their strengthening effects in Al–7Si–0.6 Mg alloy F35710.1016/j.actamat.2011.10.029 ↗
60. Clustering kinetics during natural ageing of Al-Cu based alloys with (Mg, Li) additions10.1016/j.actamat.2018.07.035 ↗
61. Structure of rapidly solidified aluminium-silicon alloys10.1007/BF02403532 ↗
62. Ultrafast artificial aging of Al–Mg–Si alloys10.1016/j.scriptamat.2015.09.037 ↗
63. 3D atom probe study of solute atoms clustering during natural ageing and pre-ageing of an Al-Mg-Si alloy10.1080/09500830600643270 ↗
64. Polmear · 2017