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Acceleration of Macrosegregation Simulation Based on Lattice Boltzmann Method

机译:基于格子Boltzmann方法的宏观偏析仿真加速

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Lattice Boltzmann Method (LBM), newly developing technique of computational fluid dynamics, is coupled with solute and energy conservation equations to develop a macrosegregation simulation model (LBM-coupled model) with high computational efficiency. LBM does not require time-consuming calculations for correction of velocity and pressure of fluid in contrast to methods directly solving Navier-Stokes (NS) equation and, therefore, LBM is computationally efficient. In this study, the accuracy of the LBM-coupled model is investigated by calculating the steady state flows and by comparing the results with those of analytical solutions and a conventional model based on the NS equation. The results between them are almost identical with each other and it indicates that the accuracy of the LBM-coupled model is sufficiently high. Moreover, a macrosegregation simulation is carried out for a simple case where the macrosegregation emerges only by natural convection, by means of the LBM-coupled and conventional models. The LBM-coupled model yields almost the same result with the one of NS-based model. Importantly, however, the simulation of LBM-coupled model is about five times faster than the one of NS-based model.
机译:新兴的计算流体动力学技术Lattice Boltzmann方法(LBM)与溶质和能量守恒方程相结合,以开发具有高计算效率的宏观偏析仿真模型(LBM耦合模型)。与直接求解Navier-Stokes(NS)方程的方法相比,LBM不需要耗时的计算来校正流体的速度和压力,因此LBM的计算效率很高。在这项研究中,通过计算稳态流量并将结果与​​解析解和基于NS方程的常规模型进行比较,研究了LBM耦合模型的准确性。它们之间的结果几乎相同,这表明LBM耦合模型的精度足够高。此外,借助LBM耦合模型和常规模型,对仅通过自然对流出现宏观偏析的简单情况进行了宏观偏析模拟。 LBM耦合模型产生的结果几乎与基于NS的模型相同。然而,重要的是,LBM耦合模型的仿真速度比基于NS的模型快5倍。

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