journal article·2023-09

Diffusion coefficient measurement and atomic mobility assessment for bcc Ti–V–Fe ternary alloys

Shihang Zhou, Guanglong Xu, Xiaoma Tao, Jiang Wang, Fuwen Chen, Yuwen Cui

Calphad· Volume 82
Publisher page

Abstract

Diffusion behaviors in bcc Ti–V–Fe ternary alloys have been investigated at 1273 K and 1473 K by the diffusion couple technique. The composition-distance profiles have been retrieved from Electron Probe MicroAnalysis (EPMA) and analytically represented by the ERror Function EXpansion (ERFEX), and then the ternary inter-diffusion and impurity diffusion coefficients have been extracted by Whittle–Green and generalized Hall methods, respectively. The extracted inter-diffusion coefficients of D ˜ V V T i and D ˜ F e F e T i range from 0.89 × 10−13 m2/s to 1.86 × 10−13 m2/s and from 1.33 × 10−12 m2/s to 1.76 × 10−12 m2/s, respectively, at 1273K, and from 6.41 × 10−13 m2/s to 15.98 × 10−13 m2/s and from 82.46 × 10−13 m2/s to 147.08 × 10−13 m2/s at 1473K. D ˜ V V T i exhibits the similar compositional variation at both temperatures, which decrease with decreasing Fe and minimize at the Ti–V binary. D ˜ F e F e T i has the maximum value at Ti–corner and eventually decreases with the increasing V and Fe at 1273K, but has the maximum value at Fe-rich Ti–Fe binary and decreases with the increasing V. The atomic mobility parameters of Ti–V, Ti–Fe and V–Fe binary systems have been revised to associate with the lasted ternary interaction parameters in thermodynamics. The ternary atomic mobility parameters for diffusion have been assessed for the first time by reproducing the extracted diffusion coefficients. The composition-distance profiles and the diffusion paths have been successfully reproduced by using the optimized atomic mobility parameters showing a consistency with the experimental data and indicating the accuracy of this work.
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Research context

OpenAlex topics: High Temperature Alloys and Creep · Intermetallics and Advanced Alloy Properties · Advanced Materials Characterization Techniques

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References (68)

Show source-provided references
1. Springback analysis of TC4 titanium alloy complex part with double curvature under single point incremental forming process
2. Titanium alloy production technology, market prospects and industry development10.1016/j.matdes.2010.09.011 ↗
3. Direct manufacturing of titanium parts by cold spray10.4028/www.scientific.net/MSF.618-619.505 ↗
4. Titanium alloys and processing for high speed aircraft10.1016/S0921-5093(97)00818-6 ↗
5. Recent developments in microstructure/property relationships of beta titanium alloys10.1016/S0921-5093(98)01170-8 ↗
6. A low-cost and high-strength Ti-Al-Fe-based cast titanium alloy for structural applications10.1016/j.scriptamat.2018.08.005 ↗
7. Hot deformation behavior of two kinds of TC4-xFe alloys based on processing map
8. Hot deformation behavior of Fe-microalloyed Ti-6Al-4V based on experiments and calculations
9. Improved fracture toughness by microalloying of Fe in Ti-6Al-4V10.1016/j.matdes.2019.108251 ↗
10. Effect of Fe content on mechanical properties of Ti-6Al-4V alloy
11. Microstructural strengthening and toughening mechanisms in Fe-containing Ti-6Al-4V: a comparison between homogenization and aging treated states10.1016/j.jmst.2021.04.063 ↗
12. M. O. Bodunrin, L. H. Chown, J. W. van der Merwe, K. K. Alaneme, On the substitution of vanadium with iron in Ti–6Al–4V: Thermo-Calc simulation and processing map considerations for design of low-cost alloys, Mater. Sci. Eng., A 791 (2020), doi:10.1016/j.msea.2020.139622.10.1016/j.msea.2020.139622 ↗
13. Diffusion coefficients for modeling the heat treatment of Ti6Al4V10.1007/s11661-004-0250-1 ↗
14. Effect of α morphology on the diffusional β ↔ α transformation in Ti–55531 during continuous heating: dissection by dilatometer test, microstructure observation and calculation10.1016/j.jallcom.2017.01.209 ↗
15. The effects of the α/β phase proportion on the superplasticity of Ti-6Al-4V and iron-modified Ti-6Al-4V10.1016/0921-5093(92)90342-X ↗
16. Mapping of microstructure features and micromechanical properties of Ti–xAl–yFe (x=0–6, y=4–10 wt.%) alloys via diffusion couple method10.1016/j.jmrt.2022.04.049 ↗
17. Influence of stacking-fault energy on high temperature creep of alpha titanium alloys10.1016/j.scriptamat.2006.02.036 ↗
18. CALPHAD-type modeling of diffusion kinetics in multicomponent alloys
19. Incorporating the CALPHAD sublattice approach of ordering into the phase-field model with finite interface dissipation10.1016/j.actamat.2014.11.037 ↗
20. Models for numerical treatment of multicomponent diffusion in simple phases10.1063/1.351745 ↗
21. Computational study of atomic mobility for bcc phase in Ti–Al–Fe system10.1016/j.calphad.2014.05.004 ↗
22. Development of CALPHAD database for both Ti- and TiAl-based alloys
23. Assessment of atomic mobilities for bcc phase of Ti-Al-V system10.1007/s11669-009-9641-8 ↗
24. Diffusion in the Ti-Al-V system10.1007/s11669-018-0673-9 ↗
25. Interdiffusion in β phase of the ternary Ti-Al-V system10.2320/matertrans.MRA2007110 ↗
26. DICTRA, a tool for simulation of diffusional transformations in alloys10.1361/105497100770340057 ↗
27. Assessment of the diffusional mobilities in bcc Ti–V alloys10.1016/j.jallcom.2008.02.111 ↗
28. Investigation of mutual diffusion in titanium-vanadium and titanium-niobium systemts
29. Measurement of interdiffusion and impurity diffusion coefficients in the bcc phase of the Ti–X (X= Cr, Hf, Mo, Nb, V, Zr) binary systems using diffusion multiples10.1007/s10853-016-0614-0 ↗
30. An optimized diffusion database for the disordered and ordered bcc phases in the binary Fe–Ti system10.1016/j.calphad.2011.09.001 ↗
31. Mobilities of Ti and Fe in disordered TiFe-BCC assessed from new experimental data10.1016/j.calphad.2021.102300 ↗
32. Assessment and evaluation of mobilities for diffusion in the bcc Cr-V-Fe system10.1007/s11669-009-9531-0 ↗
33. Thermodynamic modeling of the Fe–Ti–V system10.1016/j.calphad.2012.06.010 ↗
34. The measurement of diffusion coefficient in ternary systems10.1016/0036-9748(74)90311-1 ↗
35. Diffusivities and atomic mobilities in bcc Ti-Zr-Nb alloys10.1016/j.calphad.2018.12.003 ↗
36. Symmetries and modelling functions for diffusion processes10.1088/0022-3727/42/5/055301 ↗
37. Neumann · 2011
38. Development of a diffusion mobility database for Ni-base superalloys10.1016/S1359-6454(01)00383-4 ↗
39. Atomic mobilities and diffusivities in the fcc, L12 and B2 phases of the Ni-Al system10.3139/146.110428 ↗
40. An effective approach to acquire the impurity diffusion coefficients in binary alloys with quantified uncertainties10.3390/met11050809 ↗
41. An analytical method of calculating variable diffusion coefficients10.1063/1.1698631 ↗
42. Diffusion research in BCC Ti-Al-Mo ternary alloys10.1007/s11661-014-2245-x ↗
43. Models for numerical treatment of multicomponent diffusion in simple phases10.1063/1.351745 ↗
44. Computational thermodynamics and its applications10.1016/j.actamat.2020.08.008 ↗
45. Theory of cross phenomena and their coefficients beyond Onsager theorem10.1080/21663831.2022.2054668 ↗
46. Comment on “Thermodiffusion: the physico-chemical mechanics view”10.1063/5.0055842 ↗
47. Liu · 2016
48. Assessment of the mobility of carbon in fee C-Cr-Fe-Ni alloys10.1515/ijmr-1994-850708 ↗
49. Thermodynamics of nonelectrolyte solutions-xyt relations in a binary system10.1021/ie50458a035 ↗
50. On ferromagnetic ordering and lattice diffusion a simple model10.1515/ijmr-1992-830512 ↗
51. A model for alloying in ferromagnetic metals10.1016/0364-5916(78)90011-1 ↗
52. A novel approach to eliminate the effect of external stress on interdiffusivity measurement10.3390/ma10080961 ↗
53. Experimental determination of impurity and interdiffusion coefficients in seven Ti and Zr binary systems using diffusion multiples10.1007/s11661-018-4645-9 ↗
54. Diffusion in multicomponent metallic systems10.1139/p57-047 ↗
55. Uphill diffusion in multicomponent mixtures10.1039/C4CS00440J ↗
56. Investigation and modification of carbide sub-systems in the multicomponent Fe–C–Co–Cr–Mo–Si–V–W system
57. Growth kinetics of β-Ti solid solution in reaction diffusion10.2320/matertrans.44.83 ↗
58. Interdiffusion in β phase in the ternary Ti-Al-Fe system alloys
59. Ternary diffusion and thermodynamic interaction in the β solid solutions of Ti–Al–Fe alloys at 1423 K10.1016/j.jallcom.2012.07.117 ↗
60. Diffusion in bcc iron base alloys10.1007/BF03037813 ↗
61. Diffusion of vanadium in the Fe–V system10.1002/pssa.2210530223 ↗
62. Quantitative phase field modeling of diffusion-controlled precipitate growth and dissolution in Ti–Al–V10.1016/j.scriptamat.2003.10.032 ↗
63. Ferromagnetic ordering and mobility end-members for impurity diffusion in bcc Fe10.1016/j.calphad.2009.09.007 ↗
64. Diffusion in the B2-bcc phase of the Al–Fe–Ni system—application of a phenomenological model10.1016/S1359-6454(99)00174-3 ↗
65. Diffusion in titanium and titanium—niobium alloys10.1080/14786436308207292 ↗
66. Kinetic modeling of β-BCC phase in Ti–Al–Nb system in the temperature range of 1060–1200° C10.1016/j.calphad.2019.101725 ↗
67. A general approach to quantify the uncertainty of interdiffusion coefficients in binary, ternary and multicomponent systems evaluated using Matano-based methods10.1016/j.actamat.2020.02.042 ↗
68. Diffusion in the three component liquid system methyl alcohol-n-propyl alcohol-isobutyl alcohol10.1021/j100797a002 ↗