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首页> 外文期刊>Journal of Computational Physics >Assessment of the ellipsoidal-statistical Bhatnagar-Gross-Krook model for force-driven Poiseuille flows
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Assessment of the ellipsoidal-statistical Bhatnagar-Gross-Krook model for force-driven Poiseuille flows

机译:椭圆统计的Bhatnagar-Gross-Krook椭圆模型在力驱动的泊肃叶流中的应用

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摘要

We investigate the accuracy of the ellipsoidal-statistical Bhatnagar-Gross-Krook (ES-BGK) kinetic model for planar force-driven Poiseuille flows. Our numerical simulations are conducted using the deterministic discrete velocity method, for Knudsen numbers (Kn) ranging from 0.05 to 10. While we provide numerically accurate data, our aim is to assess the accuracy of the ES-BGK model for these flows. By comparing with data from the direct simulation Monte Carlo (DSMC) method and the Boltzmann equation, the ES-BGK model is found to be able to predict accurate velocity and temperature profiles in the slip flow regime (0.01 < Kn ≤ 0.1), for both low-speed and high-speed flows. In the transition flow regime (0.1 < Kn ≤ 10), however, the model does not quantitatively capture the viscous heating effect.
机译:我们研究平面力驱动的泊肃叶流动的椭圆统计Bhatnagar-Gross-Krook(ES-BGK)动力学模型的准确性。我们使用确定性离散速度方法对Knudsen数(Kn)的范围从0.05到10进行了数值模拟。尽管我们提供了数值精确的数据,但我们的目的是评估这些流量的ES-BGK模型的准确性。通过与直接模拟蒙特卡罗(DSMC)方法和Boltzmann方程的数据进行比较,发现ES-BGK模型能够预测滑流状态(0.01

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