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Volumen II - SAM

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The activation energy value (207kJ) is in good agreement with the work of X. Ma et al (201.5KJ).<br />

4. DISCUSSION<br />

Kinetic parametrization<br />

D(<br />

T<br />

In EKINOX simulations, the α/β interface displacement is directly linked to time integration by:<br />

⎡<br />

C<br />

− C<br />

⎤<br />

⎥ ⋅ d ζ<br />

⎦<br />

⎢<br />

⎣ α / β β / α α / β α β ⎠ ζ (4)<br />

where Cα/β and Cβ/α are the equilibrium oxygen concentrations at the interface, in α and β phase<br />

respectively, Jα and Jβ are the α and β phase flux and dζ is the α-growth in dt time.<br />

In the analytical solution [2], the position of the interface is linked to a supplementary input data, chosen<br />

independently from diffusion coefficients in the α and β phase. From eq. (4), it is possible to observe that the<br />

interface displacement depends on diffusion coefficient in α and β phases via Jα and Jβ. Different simulations<br />

allowed to determine that the α phase kinetic parameters had a more significant influence on the interfaces<br />

displacement, due to Jα dependence upon both: β→ α and α→oxide transformation.<br />

Comparison between numerical and analytical solutions<br />

)<br />

α<br />

⎛ − 207kJ<br />

⎞<br />

= 1.<br />

8652 ⋅ exp⎜<br />

⎟<br />

⎝ R ⋅T<br />

⎠<br />

In order to estimate the improvement brought by the non-stationary calculation with Ekinox, a comparison<br />

with an analytical solution previously used in [2] was performed.<br />

a) b)<br />

Fig. 6. Comparison between O diffusion profiles in Zy-4 at 1200°C obtained using an analytical solution and<br />

the EKINOX numerical code: a) α and β phases b) blow-up of the β phase region.<br />

For this analytical solution the data needed are:<br />

- Experimental Kp, parabolic constant giving the growth rate for each phase<br />

- Equilibrium oxygen concentrations at the different interfaces.<br />

Moreover, the analytical solution is limited to semi- infinite systems. For more details see [2].<br />

For short simulation times, the analytical and simulation diffusion profiles are in good agreement (Fig. 6).<br />

For longer simulation times (t >55sec), the effect of the finite size sample is evident: the oxygen<br />

concentration profile increases at the end of the sample. This increase lowers oxygen concentration gradient<br />

in the β phase and so, modifies the α/β interface velocity. This fact demonstrates the importance of taking<br />

into account a finite size system (EKINOX) instead of semi-infinite system (analytical solution), in order to<br />

reproduce experimental data.<br />

Effects of equilibrium concentrations at the different interfaces on the oxygen diffusion profile<br />

To evaluate the influence of thermodynamic data on the final oxygen diffusion profile, new calculation have<br />

been performed using Chung-Kassner values and ThermoCalc values for Zy-4 and Zr pure given in Table 2.<br />

Fig.7 shows that the choice of thermodynamic data set influences the diffusion in the β phase. This result<br />

points out the importance of taking into account the nominal composition of the industrial alloys (each<br />

1321<br />

=<br />

2 ( cm / s)<br />

⎛<br />

⎜<br />

⎝<br />

J<br />

−<br />

J<br />

(3)<br />

⎞<br />

⎟<br />

dt

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