高密度颗粒流化床流化行为研究

Study on Fluidization Behavior in Fluidized Bed for High-density Particle

  • 摘要: 气-固流化床因可强化气-固接触、促进传质与传热,已应用于天然铀转化的多个工序,但目前针对相关高密度颗粒流化行为的研究较为匮乏,尚未系统性揭示其流态化机理,导致难以实现精确设计、优化及规模化应用。为此,本文通过搭建真实物料流态化冷模实验装置,并构建基于双欧拉模型的高密度颗粒流化床流化模型开展研究。通过该模型计算得到最小流化速度(Umf)为0.011 m/s,完全流化速度(Uff)为0.051 m/s;床层完全流化后会出现偏涌现象,且实验数据验证了双欧拉流化模型的鲁棒性。进一步利用该流化模型分析床层流态化阶段颗粒相的时程演化及表观气速(U)的影响,结果显示,当UmfUUff时,床层膨胀率为19.1%;当UUff时,膨胀率为29.8%。上述研究结果为系统性探究高密度颗粒流化床的流化行为及流态化机理提供了理论基础。

     

    Abstract: Gas-solid fluidized beds, due to their enhanced gas-solid contact and improved mass and heat transfer efficiency, have been widely adopted in various natural uranium conversion processes. However, research on the fluidization behavior of high-density particles remains limited, and the underlying fluidization mechanisms have yet to be systematically elucidated. This knowledge gap impedes the precise design, optimization, and scale-up of such systems. For example, in processes such as reduction and hydrofluorination, the particles involved exhibit significantly higher densities (referred to as high-density particles) compared to conventional gas-solid fluidized beds. This results in suboptimal fluidization dynamics and reaction performance. In these countercurrent gas-solid contact systems, the irregular and unpredictable particle motion complicates the prediction of fluidization behavior and reaction kinetics. To ensure product quality, operators often resort to excessively high gas flow rates and prolonged particle residence times—an inefficient solution. Therefore, there is a pressing need to adapt research methodologies from other industries where gas-solid fluidization has been more extensively studied. In this paper cold-model fluidization experiments were conducted using actual materials to characterize fluidization dynamics. The observations reveal pronounced channeling phenomena, highlighting the necessity to optimize fluidization for high-density particle fluidization. Based on these, a computational fluid dynamics (CFD) model was developed and validated against experimental data. The results demonstrate reasonable accuracy in predicting key fluidization parameters, such as the minimum fluidization velocity Umf. However, when the superficial gas velocity fell below Umf, the pressure drop prediction relative error reaches about 24.5%. Given that the study focuses on macroscopic particle dynamics, this relative error is considered acceptable. While current fluidized bed designs have achieved partial success, further research is essential to develop simpler, more operable systems that meet industrial-scale productivity demands. This requires a fundamental understanding of the high-density particle fluidization mechanism. Key findings include that particles near the distributor plate loosen first, and gas gradually forms bubbles during fluidization. Due to the high particle density and bed height, gas compression effects occur, leading to bubble coalescence. When the superficial gas velocity is below Umf, particles accumulate at the bottom, with only a few lifted by the gas. When the gas velocity exceeds Umf but remains below Uff, the bed height increases with gas velocity, particle distribution becomes uneven. When the gas velocity surpasses Uff, the bed height stabilizes, and particles form an external circulation pattern, enhancing gas-solid contact. However, slugging and channeling occur, transforming the bed into a bubbling fluidized bed, which intensifies wall erosion and bed vibration. These results establish a theoretical foundation for systematically unraveling the fluidization behavior and mechanisms of high-density particle systems.

     

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