湍流
Cyclone(编程语言)
灵敏度(控制系统)
机械
计算流体力学
比例(比率)
比例模型
计算机模拟
集聚经济
气象学
压力降
统计物理学
环境科学
物理
工程类
航空航天工程
量子力学
现场可编程门阵列
电子工程
化学工程
嵌入式系统
作者
Mahmood Mirzaei,Peter Arendt Jensen,Mohammadhadi Nakhaei,Hao Wu,Sam Zakrzewski,Huan Zhou,Weigang Lin
标识
DOI:10.1016/j.powtec.2022.118036
摘要
The Dense Discrete Phase Model coupled with an agglomeration model is developed and validated for the simulation of industrial cyclones with high solid loads. The performance of the model is influenced by sub-models, model parameters, and numerical parameters. To optimize the performance of the present CFD model, an extensive sensitivity analysis was performed, varying one sub-model or parameter at a time, and systematically assessing the effect on the results through comparisons with measured pressure drop and separation efficiency of a highly loaded pilot-scale cyclone. The investigation shows that the turbulence model and particle-particle restitution coefficient have the strongest influence. This study concludes with the recommendation of a set of sub-models, model parameters, and numerical parameters providing the best prediction of the hydrodynamics of large-scale highly loaded cyclones. In addition, the impact of some operating conditions on the performance of a large-scale highly loaded cyclone were examined.
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