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Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics

机译:欧拉-拉格朗日方法评估的流化床流体动力学数值预测

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The main motivation for using fluidized beds in gasification is their excellent gas-fuel mixing ability that cause isothermal conditions and low operating temperature. Understanding the fluidized bed hydrodynamics and flow regime is the key to address the issues of poor gas-fuel mixing. In the current work, a fluidized bed is modeled and studied using ANSYS fluent 15. For this purpose, Eulerian-Lagrangian (EL) approach is chosen to simulate the fluidized bed gasifier hydrodynamics. In this method, the fluid is considered as continuum phase by solving the Navier-Stokes equations. Moreover, particles are treated as dispersed phase and being solved by Lagrangian trajectory calculations including coupling with the continuous phase. To include particle-particle interactions, the Discrete Element Model (DEM) as part of Discrete Phase Model (DPM) capability is also used. Simulation and experimental results are then presented and compared. The results showed that the EL approach can predict well the gas-solid mixing hydrodynamic behavior. Considering the fluidized bed particle movements and bed pressure, a good agreement was observed between computational fluid dynamics and the experimental results. Therefore, it can be concluded that the Eulerian-Lagrangian simulation approach can accurately predict the fluidized bed hydrodynamics.
机译:在气化中使用流化床的主要动机是其出色的气体燃料混合能力,可导致等温条件和较低的工作温度。了解流化床的流体动力学和流动状态是解决不良气体燃料混合问题的关键。在当前工作中,使用ANSYS fluent 15对流化床进行建模和研究。为此,选择了Eulerian-Lagrangian(EL)方法来模拟流化床气化炉的流体动力学。在这种方法中,通过求解Navier-Stokes方程将流体视为连续相。此外,将粒子视为分散相,并通过拉格朗日轨迹计算(包括与连续相耦合)求解。为了包括粒子间的相互作用,还使用了离散元素模型(DEM)作为离散相模型(DPM)功能的一部分。然后给出了仿真和实验结果并进行了比较。结果表明,EL方法可以很好地预测气固混合的水动力行为。考虑到流化床颗粒运动和床压,在计算流体动力学和实验结果之间观察到良好的一致性。因此,可以得出结论,欧拉-拉格朗日模拟方法可以准确地预测流化床的流体动力学。

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