引水板喷床的综合敏感性分析

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Amir Asadi Rad, Asghar Molaei Dehkordi
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引用次数: 0

摘要

本文介绍了一种采用CFD-DEM(计算流体力学-离散元法)耦合方法模拟引水板喷流床流体力学的综合模型。与专注于孤立参数的研究相反,本工作应用DEM方法彻底分析所有相关参数的综合影响,从而对它们对模拟结果的集体影响提供重要见解。本研究研究了五种不同的阻力模型,评估了Saffman升力的包含和影响,并比较了Magnus升力的三种不同公式。此外,还探索了五种不同的湍流模型组合,以捕捉喷流床内复杂的流动动力学。最后,研究了不同的恢复系数对粒子碰撞的影响,以了解其对粒子行为的影响。仿真结果表明,Gidaspow阻力模型具有较好的适应性,适合于模拟引水板喷流床。此外,该研究还评估了Saffman升力的影响,并确定了其影响最明显的床内特定区域。此外,该工作还建立了Robinow-Keller模型作为Magnus升力系数最有效的公式。在湍流模型方面,标准k -ε模型与分散多相行为表达式配对误差最小,表明精度较高。此外,还确定了0.9的恢复系数是模拟粒子碰撞的合适值。此外,本研究大大提高了准确性,将模拟均方根误差(RMSE)从0.155降低到0.069,降低了55.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comprehensive sensitivity analysis of draft-plate spouted beds

Comprehensive sensitivity analysis of draft-plate spouted beds

This article introduces a comprehensive model for simulating the hydrodynamics of a draft-plate spouted bed by employing a coupled CFD–DEM (computational fluid dynamics–discrete element method) approach. In contrast to studies focusing on isolated parameters, the present work applies the DEM approach to analyze the combined influence of all pertinent parameters thoroughly, thus offering significant insights into their collective impact on simulation outcomes. This study investigated five distinct drag force models, evaluated the inclusion and influence of the Saffman lift force, and compared three different formulations for the Magnus lift force. Moreover, five diverse combinations of turbulence models were explored to capture the complex flow dynamics within the spouted bed. Finally, the effects of varying the restitution coefficient on particle collisions were investigated to understand its impact on particle behavior. The simulation results show that the Gidaspow drag model demonstrated superior adaptability, making it appropriate for simulating draft-plate spouted beds. In addition, the study assessed the impact of the Saffman lift force and identified specific regions within the bed where its influence is most pronounced. Moreover, the work established the Robinow–Keller model as the most effective formulation for the Magnus lift force coefficient. Regarding turbulence modeling, the standard kε model paired with the dispersed multiphase behavior expression yielded the lowest error, indicating superior accuracy. Moreover, a restitution coefficient of 0.9 was identified as the appropriate value for simulating particle collisions. Furthermore, this study substantially improved accuracy, reducing the simulation root-mean-square error (RMSE) by 55.5% from 0.155 to 0.069.

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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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