CFD-DEM Investigation of the effects of particle size and fluidization regime on heat transfer in fluidized beds

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Mahdi Alipoor, Saman Kazemi, Reza Zarghami, Navid Mostoufi
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Abstract

This paper presents an in-depth study of heat transfer in fluidized beds, employing the CFD-DEM technique. The primary focus is to examine the impacts of inlet gas velocity, fluidization regime, and particle size on the thermal behavior of fluidized beds. The results revealed that thermal convection predominantly governs heat transfer in fluidized beds, accounting for the largest fraction of the overall heat transfer process. Particle–fluid–particle thermal conduction was found to contribute approximately 10–20% of the heat transfer, whereas particle–particle conduction exhibits a minor role. Upon increasing the inlet gas velocity, the convection rate intensifies, whereas the particle–fluid–particle conduction rate decreases. Furthermore, the study highlights the differences in temperature distribution between turbulent and bubbling fluidized beds. Turbulent bed demonstrated a more uniform and homogenous particle temperature compared to bubbling. At similar fluidization numbers in bubbling beds, increasing particle diameter enhances thermal convection while reducing particle–fluid–particle conduction. In contrast, the turbulent regime shows minimal differences in heat transfer mechanisms when particle size varies. Additionally, smaller particles are found to significantly improve temperature uniformity in fluidized beds. A comprehensive comparison of simulation results with experimental data validates the accuracy of the employed model, reinforcing its ability to predict heat transfer in fluidized beds reliably. This research provides valuable insights into the complex interplay of various mechanisms of heat transfer within fluidized beds, enabling engineers and researchers to optimize bed performance and enhance temperature control in various industrial applications.

颗粒尺寸和流化方式对流化床传热影响的CFD-DEM研究
本文采用CFD-DEM技术对流化床传热进行了深入研究。主要的重点是检查入口气体速度,流化制度和颗粒大小对流化床热行为的影响。结果表明,热对流在流化床换热过程中占主导地位,在整个换热过程中占最大比例。研究发现,颗粒-流体-颗粒导热约占传热的10-20%,而颗粒-颗粒导热的作用较小。随着入口气流速度的增大,对流速率增大,颗粒-流体-颗粒传导速率减小。此外,研究还强调了湍流流化床与鼓泡流化床温度分布的差异。与鼓泡床相比,紊流床的颗粒温度更加均匀。在相似流化数的鼓泡床中,增大颗粒直径增强热对流,降低颗粒-流体-颗粒传导。相比之下,当颗粒大小变化时,湍流状态显示传热机制的最小差异。此外,发现更小的颗粒可以显著改善流化床的温度均匀性。将模拟结果与实验数据进行了综合比较,验证了所建模型的准确性,增强了该模型可靠预测流化床传热的能力。这项研究为流化床内各种传热机制的复杂相互作用提供了有价值的见解,使工程师和研究人员能够优化床的性能并加强各种工业应用中的温度控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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