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首页> 外文期刊>Jordan Journal of Mechanical and Industrial Engineering >Prediction of Flow Parameters of Glass Beads-Water Slurry flow through Horizontal Pipeline using Computational Fluid Dynamics
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Prediction of Flow Parameters of Glass Beads-Water Slurry flow through Horizontal Pipeline using Computational Fluid Dynamics

机译:利用计算流体力学预测玻璃微珠-水浆通过水平管道的流动参数

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This paper presents a numerical analysis of two-phase glass beads-water slurry flow based on computational fluid dynamics through a 54.9 mm diameter and 4 m long horizontal pipe considering 125μm glass beads particle size over a flow velocity ranging from 1m/s to 5m/s at various volumetric concentration of the glass beads particle viz. 10%, 20%, 30%, 40% and 50%. For modeling the multiphase flow Eulerian two-phase approach was selected while for modeling the turbulence phase of the flow different turbulence models were introduced and Re-Normalization group K- epsilon model was selected after verifying the robustness of each turbulence model. Structured mesh with non-uniform spacing with a refinement near the wall boundary was selected for discretizing the entire fluid domain while control volume finite difference approach was selected for solving the Navier- Stokes governing equations in Analysis System 14.0 software package. Different flow variables like flow velocity distribution, pressure drop, concentration distribution of the particles, turbulence of the flow and their effects are studied and analyzed. In this study, a generalized mathematical relationship among pressure drop, volumetric concentration and turbulence of the flow has been proposed. The proposed mathematical relationship is then validated against the experimental data available in the previous literature and it was observed that the proposed model can forecast the pressure drop analytically with minimal error. It can be concluded from this study that the solid particles exhibit an asymmetrical distribution pattern along the vertical plane of the pipe cross section. However, as the flow velocity increases the solid particles are observed to be more blended with the liquid and leads to more symmetrical distribution. On the other hand, as the volumetric concentration increases the solid particles experience a more asymmetric distribution pattern and at low flow velocity and high volumetric concentration solid particles are settled at the bottom of the pipe. Volumetric concentration and flow velocity show a direct impact on the pressure drop where the pressure drop rises with the increase in volumetric concentration and flow velocity. Moreover, the comparison of the simulated results proves the practical utility of proposed model and high designing capability of Eulerian-Eulerian model with RNG k-? turbulence model.
机译:本文基于计算流体动力学,通过直径为54.9 mm且长度为4 m的水平管,考虑了125μm玻璃珠在1m / s至5m / s的流速下的粒径,对两相玻璃珠-水浆的流动进行了数值分析。 s在玻璃珠颗粒的各种体积浓度下。 10%,20%,30%,40%和50%。为了建模多相流,选择了欧拉两相方法,而为了建模流的湍流,则引入了不同的湍流模型,并在验证了每个湍流模型的鲁棒性之后,选择了Re-Normalization组K-ε模型。选择具有不均匀间距的结构化网格,并在壁边界附近进行细化以离散化整个流体域,而选择控制体积有限差分方法来解决Analysis System 14.0软件包中的Navier-Stokes控制方程。研究并分析了不同的流量变量,如流速分布,压降,颗粒浓度分布,流的湍流及其影响。在这项研究中,提出了压降,体积浓度和流动湍流之间的广义数学关系。然后,根据先前文献中提供的实验数据验证了所提出的数学关系,并且观察到,所提出的模型可以以最小的误差分析地预测压降。从这项研究可以得出结论,固体颗粒沿管道横截面的垂直平面表现出不对称的分布模式。但是,随着流速的增加,可以观察到固体颗粒与液体的混合程度更高,并导致更对称的分布。另一方面,随着体积浓度的增加,固体颗粒会经历更不对称的分布模式,并且在低流速下,高体积浓度的固体颗粒会沉淀在管道底部。体积浓度和流速显示出对压降的直接影响,其中压降随着体积浓度和流速的增加而升高。此外,仿真结果的比较证明了所提模型的实用性和具有RNGk-α的Eulerian-Eulerian模型的高设计能力。湍流模型。

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