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Computational Study of Heat Transfer on Molten Silicon during Directional Solidification for Solar Cell Applications

机译:太阳能电池应用定向凝固过程中熔融硅热传递的计算研究

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Computational modeling is an essential tool in modern crystal growth technology and development which is extensively used for promotion of directional solidification of silicon growth processes. The fluctuation of melt flow in the crucible has significant effects on segregation of impurity concentration and the formation of micro-defects in the grown Si multi-crystals. The control of grains as well as the grain boundaries is particularly important to the crystal quality and thus the solar cell efficiency. The numerical study is performed in the framework of the incompressible Navier-Stokes equation in the Boussinesq approximation with convection-conduction equations. The computations are made in two dimensional (2D) axisymmetric model by the finite-element numerical technique. The melt flow properties like velocity field, convective heat flux in molten silicon system are accurately simulated and analyzed at constant Prandtl number for two various Rayleigh numbers Ra= 100 and Ra=1000. In which, we found that Ra=1000 is critical Raleigh number for molten silicon. The main goal is to reduce the grain boundaries, dislocation density and increase the average grain size in whole multi-crystalline silicon ingots through controlling the turbulent melt flow patterns to laminar.
机译:计算建模是现代晶体生长技术和发展中的重要工具,广泛用于促进硅生长过程的定向凝固。坩埚中熔体流动的波动对杂质浓度的偏析和生长的Si多晶中的微缺陷的形成具有显着影响。对晶粒的控制以及晶粒边界对晶体质量尤为重要,因此是太阳能电池效率。在与对流传导方程的Boussinesq近似的不可压缩Navier-Stokes方程的框架中执行数值研究。通过有限元数值技术,在二维(2D)轴对称模型中进行计算。熔体流动特性,如速度场,熔融硅系统中的对流热通量被精确地模拟,并在恒定的PRANDTL编号处分析,两个各种瑞利数RA = 100和RA = 1000。其中,我们发现RA = 1000是熔融硅的关键罗利数。主要目标是降低晶粒边界,位错密度,并通过控制湍流熔体流动图案到层状的全多晶硅锭的平均晶粒尺寸。

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