Simulation of dense gas-particle flow using a USM-θ model, combined with a frictional stress model

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2023-01-27 DOI:10.1007/s40571-023-00554-5
Lixing Zhou, Yang Liu
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Abstract

A unified second-order-moment (USM) two-phase turbulence model together with a kinetic theory of inter-particle collision (USM-θ), and combined with a frictional stress model, was used to simulate dense gas-particle flows in a downer reactor. The interaction between gas and particle turbulence is simulated by a transport equation of two-phase velocity correlation. The simulation results are in good agreement with experimental data reported by Wang et al. The typical dense ring of particles in the near-wall region was observed. It is found that the frictional stress affects the particle fluctuation energy dissipation, leading to the decrease of the particle pseudo-temperature. Because particles are not dense enough in the center region, the effect of inter-particle collision on particle fluctuation velocity, gas-particle velocity correlation, particle collision frequency, particle shear viscosity and particle effective thermal conductivity are not obvious.

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结合摩擦应力模型的USM-θ模型模拟致密气粒流
采用统一的二阶矩(USM)两相湍流模型,结合粒子间碰撞动力学理论(USM-θ),结合摩擦应力模型,模拟了降坡反应器内致密气粒流动。用两相速度相关输运方程模拟了气粒湍流相互作用。仿真结果与Wang等人的实验数据吻合较好。在近壁区观察到典型的致密颗粒环。结果表明,摩擦应力影响颗粒波动能量耗散,导致颗粒伪温度降低。由于中心区域粒子密度不够,粒子间碰撞对粒子波动速度、气粒速度相关性、粒子碰撞频率、粒子剪切粘度和粒子有效导热系数的影响不明显。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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