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Etude par Sonde Atomique Tomographique de la formation de nano ...

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tel-00751814, version 1 - 14 Nov 2012<br />

Chapter 2. Materials, experimental and simu<strong>la</strong>tion techniques<br />

the precipitate volume re<strong>la</strong>ted <strong>par</strong>t of the Gibbs energy. The left term takes the interface<br />

between precipitate and matrix into account.<br />

In thermodynamic equilibrium, the Gibbs free energy is a minimum. Since real systems<br />

during heat treatments are in a highly non-equilibrated state, driving forces exist for an<br />

evolution of the precipitate microstructure such that G is minimized. Three dissipative<br />

processes have been consi<strong>de</strong>red in MatCalc software:<br />

with<br />

Q1: Migration of interfaces with mobility, Mk,<br />

Q2: Diffusion of all atoms insi<strong>de</strong> the precipitates;<br />

Q3: Diffusion of all atoms in the matrix<br />

Q<br />

3<br />

� m<br />

n<br />

��<br />

k�1<br />

i�1<br />

Q<br />

2<br />

Q<br />

1<br />

� m<br />

�<br />

k�1<br />

� m<br />

n<br />

��<br />

k�1<br />

i�1<br />

2<br />

4� rk<br />

(2.18)<br />

M<br />

k<br />

5<br />

4�RTrk<br />

c<br />

45c<br />

D<br />

ki<br />

0i<br />

ki<br />

0i<br />

2<br />

ki<br />

3<br />

4�RTrk ( �k<br />

( cki<br />

� c0i<br />

) � rkc<br />

c D<br />

ki<br />

/ 3)<br />

The Gibbs free energy dissipation rate G, is given by sum of these three terms<br />

2<br />

(2.19)<br />

(2.20)<br />

–G=Q1+Q2+Q3. With the total Gibbs free energy and the corresponding dissipation terms, the<br />

thermodynamic extremum principle [44] is applied and a linear system of rate equations for<br />

the change of radius and chemical composition of each individual precipitate is obtained.<br />

Further <strong>de</strong>tails about the mo<strong>de</strong>l and the numerical treatment of the evolution equations are<br />

given in [41–43].<br />

c) Evaluation of interfacial energies<br />

The interfacial energy γ and effective driving force F are dominant quantities in the<br />

simu<strong>la</strong>tion of nucleation and growth of precipitates. These quantities appear during evaluation<br />

of critical nucleation energy ΔG* (see Table 2.11). In contrast to F, which can be estimated<br />

from thermodynamic databases, γ is not accessible by direct experimental measurement and is<br />

often consi<strong>de</strong>red as fitting <strong>par</strong>ameter. In MatCalc, γ is <strong>de</strong>termined from the “nearest-<br />

82

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