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Czochralski silicon crystal growth: Modeling and simulation study.

机译:直拉硅晶体生长:建模和仿真研究。

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Czochralski (CZ) crystal growth process is a widely used technique in the manufacturing of silicon crystals and other semiconductor materials such as germanium (Ge) and gallium arsenide (GaAs). The ultimate goal for the Integrated Circuit (IC) industry is to have the highest quality substrate. There is a huge interest to manipulate the thermal field in both the melt and crystal and control the melt convection and crystal-annealing rate in order to reduce growth striations, impurity and dopant inhomogeneity concentrations, excess point defects generation at interface, and micro defects nucleation and growth within the growing crystal. The objective of this investigation has been to facilitate and spearhead the development of a simple/efficient simulation tool for the accurate prediction of global thermal and flow fields and the melt-crystal interface position in the CZ process. The numerical algorithm employs a rectangular (fixed or non-uniform) mesh for enhanced computational efficiency and an enthalpy-based technique for interface tracking. Turbulent flow in the melt is accounted for by utilizing a K-&egr; model. Radiative heat transfer is modeled in a lumped parameter sense without appreciably compromising on solution accuracy to further allow for CPU times savings. The simulation tool is validated in a number of benchmark flows such as Wheeler's problem. For the CZ crystal growth process, an entire growth cycle has been computed and reliable predictions for the evolution of interface position, and flow/thermal field characteristics have been obtained. The enhanced CPU efficiency of the approach developed here could help integrate it into on-line control strategies.
机译:切克劳斯基(CZ)晶体生长工艺是制造硅晶体和其他半导体材料(如锗(Ge)和砷化镓(GaAs))中广泛使用的技术。集成电路(IC)行业的最终目标是拥有最高质量的基板。为了降低生长条纹,杂质和掺杂剂的不均匀浓度,界面处产生的过剩点缺陷以及微缺陷成核,人们非常有兴趣控制熔体和晶体中的热场并控制熔体对流和晶体退火速率。在成长的晶体中成长。这项研究的目的是促进和带头开发一种简单/有效的仿真工具,用于精确预测CZ过程中的整体热场和流场以及熔体晶体界面位置。数值算法采用矩形(固定或不均匀)网格以提高计算效率,并采用基于焓的技术进行界面跟踪。熔体中的湍流通过使用K-egr;来解决。模型。在集总参数意义上对辐射热传递进行建模,而不会显着影响解决方案的准确性,从而进一步节省了CPU时间。该仿真工具已在许多基准流程(例如Wheeler问题)中得到验证。对于CZ晶体的生长过程,已经计算出整个生长周期,并且已经获得了界面位置演变以及流/热场特性的可靠预测。此处开发的方法提高了CPU效率,可以帮助将其集成到在线控制策略中。

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