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首页> 外文期刊>Energy & fuels >Multiphysics Simulations of Entrained Flow Gasification. Part Ⅰ: Validating the Nonreacting Flow Solver and the Particle Turbulent Dispersion Model
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Multiphysics Simulations of Entrained Flow Gasification. Part Ⅰ: Validating the Nonreacting Flow Solver and the Particle Turbulent Dispersion Model

机译:气流床气化的多物理场模拟。第一部分:验证非反应流动解和颗粒湍流扩散模型

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摘要

In this two-part paper, we describe the construction, validation, and application of a multiscale model of entrained flow gasification. The accuracy of die model is demonstrated by (1) rigorously constructing lad validating the key constituent submodels against relevant canonical test cases from the literature and (2) validating the integrated model against experirnental data from laboratory scale and commercial scale gasifiers. In part I, the flow solver and particle turbulent dispersion models are validated against experimental data from nonswirling flow and swirling flow test cues in an azisymmetric sudden expansion geometry and a two-phase flow test case in a cylindrical bluff body geometry. Results show that while the large eddy simulation (LES) performs best among all tested models in predicting both swirling and nonswirling flows, me shear stress transport (SST) k-ω model is the best choice among the commonly used Reynolds-averaged Navier-Stokes (RANS) models. The particle turbulent dispersion model is accurate enough in predicting particle trajectories in complex turbulent flows when the underlying turbulent flow is well predicted. Moreover, a commonly used modeling constant in the particle dispersion model is optimized on the basis of comparisons with particle-phase experimental data for the two-phase flow Muff body case.
机译:在这两部分中,我们描述了气流床气化多尺度模型的构建,验证和应用。通过(1)根据文献中的相关规范测试案例严格构建小工具来验证关键组成子模型,以及(2)根据实验室规模和商业规模的气化炉的经验数据来验证集成模型,可以证明模具模型的准确性。在第一部分中,针对非对称旋流和旋涡流测试线索的实验数据验证了流动求解器和颗粒湍流扩散模型,这些数据是在轴对称突然膨胀几何形状中以及在两相流测试案例中是圆柱钝体几何形状。结果表明,虽然在所有测试模型中大涡模拟(LES)在预测旋流和非旋流方面均表现最佳,但切应力传递(SST)k-ω模型是常用的雷诺平均Navier-Stokes模型中的最佳选择(RANS)模型。当很好地预测下面的湍流时,粒子湍流弥散模型在预测复杂湍流中的粒子轨迹方面足够准确。此外,在与两相流莫夫身情况的颗粒相实验数据进行比较的基础上,优化了颗粒分散模型中常用的建模常数。

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  • 来源
    《Energy & fuels》 |2012年第1期|p.451-463|共13页
  • 作者

    Mayank Kumar; Ahmed F. Ghoniem;

  • 作者单位

    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States;

    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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