Lattice Diffusion and Grain Boundary Diffusion of Copper in &amp;gamma;-Iron

Majima, Kazuhiko; Orito, Shigeki; Mitani, Hiroyasu

doi:10.2320/jinstmet1952.41.12_1207

Cited by 10 publications

(6 citation statements)

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“…4. As can be seen, the calculated results agree well with the measured experimental data by Speich et al, [36] Rothman et al, [37] Salje and Feller-Kniepmeier, [38] Majima and Mitani, [39] and Taguchi et al [40] Figure 5 shows the calculated tracer diffusion coefficients of Cu in fcc Cu-Fe alloys at different temperatures Fig. 2 Calculated thermodynamic factor (/) of the fcc phase in the Cu-Fe binary system using the data by Chen and Jin [50] Fig.…”

Section: Resultssupporting

confidence: 93%

“…[28][29][30][31][32][33][34][35] The calculated results are in good agreement with the experimental data measured by Mackliet, [28] Mullen, [29] Barreu et al, [30] Bernardini and Cabane, [31] Sen et al, [32] Salje and Feller-Kniepmeier, [33] and Almazouzi et al, [34] but show obvious deviation from the experimental data by Tomono and Ikushima. [35] Comparison between the calculated impurity diffusion coefficients of Cu in fcc Fe with the temperature dependence and the experimental data [36][37][38][39][40] is given in Fig. 4.…”

Section: Resultsmentioning

confidence: 99%

“…3 Calculated temperature dependence of impurity diffusion coefficient of Fe in pure fcc Cu with the experimental data [28][29][30][31][32][33][34][35] Fig. 4 Calculated temperature dependence of impurity diffusion coefficient of Cu in pure fcc Fe with the experimental data [36][37][38][39][40] Fig. 5 Calculated tracer diffusion coefficient of Cu in fcc Cu-Fe alloys at different temperatures with the experimental data [41] Basic and Applied Research: Section I (1265, 1293, and 1351 K) together with the experimental data.…”

Section: Resultsmentioning

confidence: 99%

“…Salje and Feller-Kniepmeier [38] studied the impurity diffusion coefficients of Cu from 923 to 1323 K by vapordeposition of Cu on pure fcc Fe polycrystals (purity 99.9%) with EPMA. Using 64 Cu as a tracing element and the residual activity method, Majima and Mitani [39] determined the impurity diffusion coefficients of Cu in fcc Fe polycrystals (purity 99%) between 1378 and 1483 K. Using the lathe sectioning with atomic absorption analysis, Taguchi et al [40] measured the impurity diffusion coefficients of Cu in fcc Fe polycrystals (purity 99.9%) from 1203 to 1283 K. The experimental data [36][37][38][39][40] mentioned above are in good agreement with each other and were used in the present optimization.…”

Section: The Cu-fe Systemmentioning

confidence: 99%

See 3 more Smart Citations

Assessment of the Atomic Mobilities in fcc Cu-Fe and Cu-Ti Alloys

Wang

Leinenbach

Liu

et al. 2010

J. Phase Equilib. Diffus.

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The experimentally measured diffusion coefficients of fcc Cu-Fe and Cu-Ti alloys in the published literature were reviewed critically in the present work. On the basis of the available thermodynamic information, the atomic mobilities of Cu, Fe, and Ti in fcc Cu-Fe and Cu-Ti alloys as a function of temperature and composition were assessed in terms of the CALPHAD method using the DICTRA Ò software. The optimized mobility parameters are presented. The calculated diffusion coefficients show an excellent agreement with the experimental data. The composition-distance profiles of the Cu-Ti binary diffusion couples reported in the literature were also predicted using the assessed mobility parameters. Overall good agreement is achieved between the experimental results and simulations.

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Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: The Cu-fe Systemmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of the Atomic Mobilities in fcc Cu-Fe and Cu-Ti Alloys

Wang

Leinenbach

Liu

et al. 2010

J. Phase Equilib. Diffus.

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show abstract

“…[3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] The diffusion coefficients investigated The recommended values of Do and Q for austenitic iron are 0.43 x m2 s-l and 280 f 3 kJ mol-' respectively. Although there are some differences between the diffusion coefficients, obtained in the present research and those in previous studies, they are comparable.…”

Section: Quantificationmentioning

confidence: 99%

Application of glow discharge optical emission spectroscopy to diffusion measurement of copper in ferritic and austenitic iron and steels

Suzuki¹,

Suzuki²,

Kurosawa³

et al. 1992

Surface & Interface Analysis

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Glow discharge optical emission spectroscopy (GDOS) is a method to analyse the optical emission of elements during sputtering of a solid, providing data on the light intensities of the elements YS. the sputtering time. By correcting the measured light intensities with standard samples, it is possible to obtain the quantitative depth profile up to about 100 pm. In the present research, GDOS was applied to the diffusion measurement of impurity atoms in metals and alloys. After a thin film of copper was coated on iron and steels, the surface film was diflused into the matrix at high temperatures. The penetration curves of copper from the surface were obtained from the GDOS data. Diffusivities of copper in ferritic and austenitic regions of iron were determined from the penetration curves, which were in agreement with previous results. D i h i o n of copper in commercial ferritic and austenitic stainless steels was also examined. The difisivities obtained were comparable with those expected from the temperature dependence of the difisivities in the ferritic and austenitic phases of pure iron.

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12.2.2 Grain boundary tracer impurity diffusion in pure materials

Kaur¹,

Gust²

Landolt-Börnstein - Group III Condensed Matter

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Lattice Diffusion and Grain Boundary Diffusion of Copper in γ-Iron

Cited by 10 publications

References 0 publications

Assessment of the Atomic Mobilities in fcc Cu-Fe and Cu-Ti Alloys

Assessment of the Atomic Mobilities in fcc Cu-Fe and Cu-Ti Alloys

Application of glow discharge optical emission spectroscopy to diffusion measurement of copper in ferritic and austenitic iron and steels

12.2.2 Grain boundary tracer impurity diffusion in pure materials

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