Fluidization of non-spherical particles is very common in petroleum engineering.Understanding the complex phenomenon of non-spherical particle flow is of great significance.In this paper,coupled with two-fluid model,t...Fluidization of non-spherical particles is very common in petroleum engineering.Understanding the complex phenomenon of non-spherical particle flow is of great significance.In this paper,coupled with two-fluid model,the drag coefficient correlation based on artificial neural network was applied in the simulations of a bubbling fluidized bed filled with non-spherical particles.The simulation results were compared with the experimental data from the literature.Good agreement between the experimental data and the simulation results reveals that the modified drag model can accurately capture the interaction between the gas phase and solid phase.Then,several cases of different particles,including tetrahedron,cube,and sphere,together with the nylon beads used in the model validation,were employed in the simulations to study the effect of particle shape on the flow behaviors in the bubbling fluidized bed.Particle shape affects the hydrodynamics of non-spherical particles mainly on microscale.This work can be a basis and reference for the utilization of artificial neural network in the investigation of drag coefficient correlation in the dense gas-solid two-phase flow.Moreover,the proposed drag coefficient correlation provides one more option when investigating the hydrodynamics of non-spherical particles in the gas-solid fluidized bed.展开更多
针对具有初始各向异性的间断级配砂土细粒潜蚀问题,引入可以考虑颗粒投影面积影响的Ganser拖曳力计算模型,实现非球形颗粒的计算流体动力学(computational fluid dynamics,简称CFD)和离散元(discrete element method,简称DEM)的双相耦...针对具有初始各向异性的间断级配砂土细粒潜蚀问题,引入可以考虑颗粒投影面积影响的Ganser拖曳力计算模型,实现非球形颗粒的计算流体动力学(computational fluid dynamics,简称CFD)和离散元(discrete element method,简称DEM)的双相耦合。通过与单颗粒下沉试验的对比,验证了该数值方法在解决异形颗粒与流体相互作用时的适用性。在此基础上,生成具有不同沉积方向和不同细粒含量的初始各向异性试样,模拟向上渗流潜蚀试验,并在试验中监测细粒流失量、强弱力链组成以及颗粒组构变化等宏微观特性,研究不同充填状态下(欠填充和过填充)不同组构各向异性土体渗流潜蚀特征。之后,对受潜蚀前后的试样进行了排水三轴试验,探究渗流对土体强度弱化的影响。结果表明,过填充试样质量损失随着颗粒沉积角度的增大而增大,而欠填充试样质量损失随沉积角度先增大后减小;欠填充试样细粒损失主要来源于低连通性细颗粒,而对于过填充试样,潜蚀则会导致低连通性和高连通性细颗粒数量同时减小。此外,三轴试验表明,潜蚀致土体峰值强度发生显著弱化,且峰值强度随沉积角度的变化也会受到土体充填状态的影响。展开更多
Flume experiments and numerical simulation were conducted to characterize the hydrodynamics of a trapezoid artificial reef.Measurements in particle image velocimetry were conducted to observe the formation of upwellin...Flume experiments and numerical simulation were conducted to characterize the hydrodynamics of a trapezoid artificial reef.Measurements in particle image velocimetry were conducted to observe the formation of upwelling and vortices;and forces for the reef model were measured by load cell.The results of flume experiments agree well with the numerical data.In addition,the flow structure around a reef combining trapezoidal and cubic blocks was simulated numerically under two deployment schemes,showing a more complicated flow structure than that of a stand-alone reef.Relationship between drag coefficient and Reynolds number suggest that the degree of turbulence can be assessed from the value of drag coefficient downstream from the reef.The role of the reef in water flow is to reduce flow velocity and generate turbulence.展开更多
We have investigated the effect of cohesion and drag models on the bed hydrodynamics of Geldart A particles based on the two-fluid （TF） model. For a high gas velocity U0 = 0.03 m/s, we found a transition from the ho...We have investigated the effect of cohesion and drag models on the bed hydrodynamics of Geldart A particles based on the two-fluid （TF） model. For a high gas velocity U0 = 0.03 m/s, we found a transition from the homogeneous fluidization to bubbling fluidization with an increase of the coefficient C1, which is used to account for the contribution of cohesion to the excess compressibility. Thus cohesion can play a role in the bed expansion of Geldart A particles. Apart from cohesion, we have also investigated the influence of the drag models. When using the Wen and Yu drag correlation with an exponent n = 4.65, we find an under-prediction of the bed expansion at low gas velocities （U0 = 0.009 m/s）. When using a larger exponent （n = 9.6）, as reported in experimental studies of gas-fluidization, a much better agreement with the experimental bed expansion is obtained. These findings suggest that at low gas velocity, a scale-down of the commonly used drag model is required. On the other hand, a scale-up of the commonly used drag model is necessary at high gas velocity （U0 = 0.2 and 0.06 m/s）. We therefore conclude that scaling the drag force represent only an ad hoc way of repairing the deficiencies of the TF model, and that a far more detailed study is required into the origin of the failure of the TF model for simulating fluidized beds of fine powders.展开更多
基金the financial support by the National Natural Science Foundation of China(Grant No.51706055).
文摘Fluidization of non-spherical particles is very common in petroleum engineering.Understanding the complex phenomenon of non-spherical particle flow is of great significance.In this paper,coupled with two-fluid model,the drag coefficient correlation based on artificial neural network was applied in the simulations of a bubbling fluidized bed filled with non-spherical particles.The simulation results were compared with the experimental data from the literature.Good agreement between the experimental data and the simulation results reveals that the modified drag model can accurately capture the interaction between the gas phase and solid phase.Then,several cases of different particles,including tetrahedron,cube,and sphere,together with the nylon beads used in the model validation,were employed in the simulations to study the effect of particle shape on the flow behaviors in the bubbling fluidized bed.Particle shape affects the hydrodynamics of non-spherical particles mainly on microscale.This work can be a basis and reference for the utilization of artificial neural network in the investigation of drag coefficient correlation in the dense gas-solid two-phase flow.Moreover,the proposed drag coefficient correlation provides one more option when investigating the hydrodynamics of non-spherical particles in the gas-solid fluidized bed.
文摘针对具有初始各向异性的间断级配砂土细粒潜蚀问题,引入可以考虑颗粒投影面积影响的Ganser拖曳力计算模型,实现非球形颗粒的计算流体动力学(computational fluid dynamics,简称CFD)和离散元(discrete element method,简称DEM)的双相耦合。通过与单颗粒下沉试验的对比,验证了该数值方法在解决异形颗粒与流体相互作用时的适用性。在此基础上,生成具有不同沉积方向和不同细粒含量的初始各向异性试样,模拟向上渗流潜蚀试验,并在试验中监测细粒流失量、强弱力链组成以及颗粒组构变化等宏微观特性,研究不同充填状态下(欠填充和过填充)不同组构各向异性土体渗流潜蚀特征。之后,对受潜蚀前后的试样进行了排水三轴试验,探究渗流对土体强度弱化的影响。结果表明,过填充试样质量损失随着颗粒沉积角度的增大而增大,而欠填充试样质量损失随沉积角度先增大后减小;欠填充试样细粒损失主要来源于低连通性细颗粒,而对于过填充试样,潜蚀则会导致低连通性和高连通性细颗粒数量同时减小。此外,三轴试验表明,潜蚀致土体峰值强度发生显著弱化,且峰值强度随沉积角度的变化也会受到土体充填状态的影响。
基金Supported by the National Natural Science Foundation of China(Nos.31072246,31272703)
文摘Flume experiments and numerical simulation were conducted to characterize the hydrodynamics of a trapezoid artificial reef.Measurements in particle image velocimetry were conducted to observe the formation of upwelling and vortices;and forces for the reef model were measured by load cell.The results of flume experiments agree well with the numerical data.In addition,the flow structure around a reef combining trapezoidal and cubic blocks was simulated numerically under two deployment schemes,showing a more complicated flow structure than that of a stand-alone reef.Relationship between drag coefficient and Reynolds number suggest that the degree of turbulence can be assessed from the value of drag coefficient downstream from the reef.The role of the reef in water flow is to reduce flow velocity and generate turbulence.
文摘We have investigated the effect of cohesion and drag models on the bed hydrodynamics of Geldart A particles based on the two-fluid （TF） model. For a high gas velocity U0 = 0.03 m/s, we found a transition from the homogeneous fluidization to bubbling fluidization with an increase of the coefficient C1, which is used to account for the contribution of cohesion to the excess compressibility. Thus cohesion can play a role in the bed expansion of Geldart A particles. Apart from cohesion, we have also investigated the influence of the drag models. When using the Wen and Yu drag correlation with an exponent n = 4.65, we find an under-prediction of the bed expansion at low gas velocities （U0 = 0.009 m/s）. When using a larger exponent （n = 9.6）, as reported in experimental studies of gas-fluidization, a much better agreement with the experimental bed expansion is obtained. These findings suggest that at low gas velocity, a scale-down of the commonly used drag model is required. On the other hand, a scale-up of the commonly used drag model is necessary at high gas velocity （U0 = 0.2 and 0.06 m/s）. We therefore conclude that scaling the drag force represent only an ad hoc way of repairing the deficiencies of the TF model, and that a far more detailed study is required into the origin of the failure of the TF model for simulating fluidized beds of fine powders.
