Potential Impact of Computational Techniques to Express the Solid Dynamics in (Gas-Liquid-Solid) Multiphase Reactors

S. K. Suri
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Abstract

The computational fluid dynamics codes play a paramount role by demonstrating the system dynamics. The solid dynamics in a multiphase reactor can be analysed from (Chaos, Fractures, Clustering Discrete Element and Eulerian-Langrangian) simulation methods. The Chaos analysis is studied from pressure variation and time series. It includes the characterization of the flow region and their transition. The correlation dimension from the gas phase will describe the scale behaviour in the Chaos analysis. An effective flow model with definite investigation is obtained from this analysis. The flow regimes will be characterized by the structures variation. The volume of fluid and continuum surface force models elaborate on the fluidized bed bubble dynamics in the reactor. The bubbles formation and gasification process of (Fuel gas) are studied from parameters by including (Minimum fluidization velocity, Gas surface tension, Gas viscosity and Density). The results demonstrate the parameters which are influenced by (Particle density and Size). The investigation in time series signals for the biomass gasification process will be demonstrated from the fluidized bed hydrodynamics and system basics. The solid dynamics has been investigated by indicating a novel bubbling in biomass (Wood) in the gasification process time signals. The indication of complex signals in solid dynamics can be obtained from it simultaneously.
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计算技术对(气-液-固)多相反应器中固体动力学表达的潜在影响
计算流体力学代码在展示系统动力学方面起着至关重要的作用。多相反应器的固体动力学可以用(混沌、断裂、聚类离散元和欧拉-朗朗日)模拟方法进行分析。从压力变化和时间序列两方面研究了混沌分析。它包括流动区域的表征及其过渡。来自气相的相关维数将描述混沌分析中的尺度行为。通过分析,得到了一个有效的流动模型。流态的特征是结构的变化。流体体积模型和连续表面力模型阐述了反应器内流化床气泡动力学。从最小流化速度、气体表面张力、气体粘度、气体密度等参数出发,研究了(燃料气体)的气泡形成和气化过程。结果表明,颗粒密度和粒径对参数的影响较大。从流化床流体力学和系统基础出发,对生物质气化过程的时间序列信号进行研究。通过指出生物质(木材)在气化过程中出现的一种新的鼓泡时间信号,研究了固体动力学。同时可以得到固体动力学中复杂信号的指示。
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