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Advanced approach for oxygen transport and crystallization front calculation in Cz silicon crystal growth

•STR model accounts for anisotropy of normal Reynolds stresses.•STR model predicts Oxygen profiles in Cz 8″ Silicon crystals with 10% accuracy.•Computer simulation predicted the Oxygen reduction by 13% in Cz Si crystal growth. Modeling of oxygen transport during Czochralski (Cz) silicon crystal grow...

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Bibliographic Details
Published in:Journal of crystal growth 2022-04, Vol.583, p.126493, Article 126493
Main Authors: Borisov, D., Artemyev, V., Kalaev, V., Smirnov, A., Kuliev, A., Zobel, F., Kunert, R., Turan, R., Aydin, O., Kabacelik, I.
Format: Article
Language:English
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Summary:•STR model accounts for anisotropy of normal Reynolds stresses.•STR model predicts Oxygen profiles in Cz 8″ Silicon crystals with 10% accuracy.•Computer simulation predicted the Oxygen reduction by 13% in Cz Si crystal growth. Modeling of oxygen transport during Czochralski (Cz) silicon crystal growth still is a big challenge due to oxygen evacuation from the melt free surface, affected by strong anisotropy of turbulent mass transport. To predict the crystal oxygen concentration and crystallization front geometry with reasonable accuracy usually a 3D unsteady LES or DNS approach is required which demands significant computation resources and time. We present a new steady turbulence model using the extended hypothesis for modeling the Reynolds stress tensor, which accounts for different mechanisms of Reynolds stresses anisotropy and can be used in fast 2D engineering calculations. Several 8″ silicon crystals were grown in EKZ 3500 furnace with varying operating parameters. Wafers have been cut from different parts of the crystals and analyzed using the Fourier-transform infrared spectroscopy (FTIR) for oxygen concentration in facilities of Fraunhofer CSP and iTechSolar. The comparison between experimental and calculated results, which include oxygen concentration and interface deflection, is discussed in details. Time-averaged Reynolds stress tensor components as well as the turbulent heat fluxes components are compared between unsteady LES and steady RANS approaches.
ISSN:0022-0248
1873-5002
DOI:10.1016/j.jcrysgro.2021.126493