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Modeling of GaAs Growth
Fig. 1. The computational grid and the temperature distribution in the VCz system for 4" GaAs crystal growth

Modeling of the VCz GaAs growth

Numerical investigation of the effect of radiative heat exchange in the encapsulant was performed using CGSim software with respect to its influence on the crystallization front geometry during encapsulated GaAs Czochralski growth with the vapor pressure control [1]. Radiative heat exchange, conductive heat exchange and turbulent flows within the Reynolds-averaged Navier-Stokes (RANS) equations are considered in a conjugated way. Advanced analysis of heat transfer and melt/encapsulant flows in the crystallization zone is performed within updated 3D unsteady approach based on the LES technique. The 3D analysis is applied to describe the real melt flow behavior, which is not always possible within the RANS approach usually resulting in steady state axisymmetric flow patterns. It should be mentioned that the 3D flows of the melt and encapsulant were considered in a way with conjugated heat and momentum exchange.

Modeling of GaAs Growth
Fig. 2. The temperature distributions and the flow patterns obtained in the 2D computations (VCz system for 4" GaAs crystal growth). The encapsulant is considered as an opaque (a) or a transparent (b) medium.

The effect of optical properties of the encapsulant layer is additionally considered in two opposite cases to reveal their contribution to the crystallization front formation. It is evident that optical properties of the encapsulant affect both the temperature distribution and melt velocity. In the case of transparent encapsulant, the temperature difference in the melt is higher due to the intensified heat transport through the melt-encapsulant interface. For the case of opaque encapsulant, a lower temperature difference in the melt is sufficient to maintain the desired crystallization rate.


Modeling of GaAs Growth
Fig. 3. An example of the 3D block-structured computational grid for crystallization zone.
Modeling of GaAs Growth
Fig. 4. The instantaneous flow patterns obtained in the 3D computations (VCz system for 4" GaAs crystal growth). The encapsulant is considered as an opaque (a) or a transparent medium (b).

Modeling of GaAs Growth
Fig. 5. The comparison of the computed and experimental crystallization front shape (VCz system for 4" GaAs crystal growth). The encapsulant is considered as an opaque (a) or a transparent medium (b).

Of high interest is the fact that there are significant differences between the results of the flow prediction using the steady 2D and unsteady 3D approaches. The 2D RANS approach predicts that the melt flow is practically suppressed in the melt periphery under the encapsulant layer, which is not proved, analyzing the data provided by more general 3D computations. Using both approaches, the melt flow under the crystal is described in a similar manner; however, there is a certain difference near the axis of symmetry. 3D unsteady modeling revealed small turbulent structures near the axis; whereas there is only downward melt motion in the data of RANS analysis. The effect of optical properties of the encapsulant, obtained in 3D analysis, has showed that the increase in temperature difference in the melt for the case of transparent encapsulant layer results in intensifying melt fluctuating velocity, especially, under the encapsulant.

One can see that the optical properties of the encapsulant noticeably affect the crystallization front shape formation. Note that both 2D and 3D flow models predict overestimated interface deflection for the case of opaque encapsulant and underestimated deflection for the case of transparent encapsulant, in such a way that the adequate result should be obtained by means of a relevant semitransparent optical model.

References

[1] O.V. Smirnova, V.V. Kalaev, Yu.N. Makarov, Ch. Frank-Rotsch, M. Neubert, P. Rudolph, J. of Crystal Growth 266(2004) 67-73