{"title":"石油中固体颗粒的弹跳模拟:球形与多面体颗粒形状效应","authors":"F. Razavi, A. Komrakova, C. Lange","doi":"10.32393/CSME.2020.X04","DOIUrl":null,"url":null,"abstract":"To prepare for the simulation of sand filtration in heavy oil, the detailed flow of individual particles in oil is studied. Investigation of the motion of a bouncing solid particle toward the wall in a fluid helps understand the particle-fluid and particle-wall interactions in the numerical model. The numerical results get verified against experimental data through reporting Root Mean Square Error (RMSE). The particle distance-from-wall is measured. Although some numerical research has been carried out on spherical bouncing particle, there have been few numerical investigations into the effect of the non-spherical particles on the trajectory/distance-from-wall of the falling/bouncing particle toward the wall in a fluid. Accordingly, the specific aims of this work are: Considering the quiescent fluid of silicon oil in a tank made of glass, a steel sphere is falling in oil toward the bottom glass wall. The mass density of the steel sphere is ρ p = 7800 kg/m 3 . The Young’s modulus of elasticity E is 214 × 109 Pa and the Poisson’s ratio v is 0.3. The mass density of silicon oil is ρ f = 970 kg/m 3 and the dynamic viscosity is µ = 0.1 Pa.s (at T = 20° C). Size of the steel sphere, Re and St numbers are 0.0053 m, 30 and 55, respectively. The trajectory/distance-from-wall of the particle is affected by particle-fluid and particle-wall interactions. The particle and the interactions with fluid and wall will be investigated numerically in STAR-CCM+ using Coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM). DEM simulations are of tracking individual particles’ trajectories, considering various forces on the particles caused by interaction with fluid, with other particles, and with walls. Also, simulate non-spherical particles. This work shows that the developed model predicts the trajectory/distance-from-wall of the bouncing spherical particle with a RSME equal or less than 0.1. Also, the trajectory/distance-from-wall of the polyhedral particle differs from the spherical particles, demonstrating that shape matters. Changes in the drag force due to changes in particle shape will be also investigated. Further work will apply the model findings to the study of particle filtration.","PeriodicalId":184087,"journal":{"name":"Progress in Canadian Mechanical Engineering. 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Although some numerical research has been carried out on spherical bouncing particle, there have been few numerical investigations into the effect of the non-spherical particles on the trajectory/distance-from-wall of the falling/bouncing particle toward the wall in a fluid. Accordingly, the specific aims of this work are: Considering the quiescent fluid of silicon oil in a tank made of glass, a steel sphere is falling in oil toward the bottom glass wall. The mass density of the steel sphere is ρ p = 7800 kg/m 3 . The Young’s modulus of elasticity E is 214 × 109 Pa and the Poisson’s ratio v is 0.3. The mass density of silicon oil is ρ f = 970 kg/m 3 and the dynamic viscosity is µ = 0.1 Pa.s (at T = 20° C). Size of the steel sphere, Re and St numbers are 0.0053 m, 30 and 55, respectively. The trajectory/distance-from-wall of the particle is affected by particle-fluid and particle-wall interactions. The particle and the interactions with fluid and wall will be investigated numerically in STAR-CCM+ using Coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM). DEM simulations are of tracking individual particles’ trajectories, considering various forces on the particles caused by interaction with fluid, with other particles, and with walls. Also, simulate non-spherical particles. This work shows that the developed model predicts the trajectory/distance-from-wall of the bouncing spherical particle with a RSME equal or less than 0.1. Also, the trajectory/distance-from-wall of the polyhedral particle differs from the spherical particles, demonstrating that shape matters. Changes in the drag force due to changes in particle shape will be also investigated. Further work will apply the model findings to the study of particle filtration.\",\"PeriodicalId\":184087,\"journal\":{\"name\":\"Progress in Canadian Mechanical Engineering. 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引用次数: 0
摘要
为了为稠油砂滤的模拟做准备,对油中单个颗粒的详细流动进行了研究。研究固体颗粒在流体中向壁面反弹的运动有助于理解数值模型中颗粒-流体和颗粒-壁面的相互作用。通过报告均方根误差(RMSE),将数值结果与实验数据进行了验证。测量了粒子离壁面的距离。虽然对球形弹跳粒子进行了一些数值研究,但对非球形粒子对流体中下落/弹跳粒子向壁面运动轨迹/离壁距离的影响的数值研究很少。因此,本作品的具体目的是:考虑玻璃罐中静止的硅油流体,钢球在油中向底部玻璃壁下落。钢球的质量密度为ρ p = 7800 kg/ m3。杨氏弹性模量E为214 × 109 Pa,泊松比v为0.3。硅油的质量密度ρ f = 970 kg/ m3,动态粘度µ= 0.1 Pa。s (T = 20℃时)。钢球尺寸为0.0053 m, Re和St值分别为30和55。粒子的轨迹/离壁距离受粒子-流体和粒子-壁相互作用的影响。STAR-CCM+将采用耦合计算流体动力学和离散元法(CFD-DEM)对颗粒及其与流体和壁面的相互作用进行数值研究。DEM模拟是跟踪单个粒子的轨迹,考虑粒子与流体、与其他粒子以及与壁面的相互作用所产生的各种力。同样,模拟非球形粒子。研究结果表明,所建立的模型对弹跳球形粒子的轨迹/离壁距离的预测,其RSME值等于或小于0.1。此外,多面体粒子的轨迹/离壁距离与球形粒子不同,这表明形状很重要。由于颗粒形状的变化,阻力的变化也将被研究。进一步的工作将把模型的发现应用于颗粒过滤的研究。
Simulation of Bouncing Solid Particle in Oil: Spherical vs. Polyhedral Particle Shape Effect
To prepare for the simulation of sand filtration in heavy oil, the detailed flow of individual particles in oil is studied. Investigation of the motion of a bouncing solid particle toward the wall in a fluid helps understand the particle-fluid and particle-wall interactions in the numerical model. The numerical results get verified against experimental data through reporting Root Mean Square Error (RMSE). The particle distance-from-wall is measured. Although some numerical research has been carried out on spherical bouncing particle, there have been few numerical investigations into the effect of the non-spherical particles on the trajectory/distance-from-wall of the falling/bouncing particle toward the wall in a fluid. Accordingly, the specific aims of this work are: Considering the quiescent fluid of silicon oil in a tank made of glass, a steel sphere is falling in oil toward the bottom glass wall. The mass density of the steel sphere is ρ p = 7800 kg/m 3 . The Young’s modulus of elasticity E is 214 × 109 Pa and the Poisson’s ratio v is 0.3. The mass density of silicon oil is ρ f = 970 kg/m 3 and the dynamic viscosity is µ = 0.1 Pa.s (at T = 20° C). Size of the steel sphere, Re and St numbers are 0.0053 m, 30 and 55, respectively. The trajectory/distance-from-wall of the particle is affected by particle-fluid and particle-wall interactions. The particle and the interactions with fluid and wall will be investigated numerically in STAR-CCM+ using Coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM). DEM simulations are of tracking individual particles’ trajectories, considering various forces on the particles caused by interaction with fluid, with other particles, and with walls. Also, simulate non-spherical particles. This work shows that the developed model predicts the trajectory/distance-from-wall of the bouncing spherical particle with a RSME equal or less than 0.1. Also, the trajectory/distance-from-wall of the polyhedral particle differs from the spherical particles, demonstrating that shape matters. Changes in the drag force due to changes in particle shape will be also investigated. Further work will apply the model findings to the study of particle filtration.