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Investigation of Rope Formation in Gas-Solid Flows using Flow Visualization and CFD Simulations

机译:使用流可视化和CFD模拟研究气固流中的绳索形成

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摘要

Coal is still one of the widely-used resources for power generation all over the world. Most of the relevant industries use pulverized coal as fuel which is delivered to the furnace by pneumatic conveying. Extensive use of coal has resulted in severe environmental problems due to emissions such as Carbon dioxide, Nitrogen and Sulphur compounds among others. It is postulated that if combustion efficiency is improved, this will lead to significant reduction in pollutant emissions. Combustion efficiency of pulverized coal power plants is influenced strongly by particle size distribution. Most industries use Cyclone Separators (or Classifiers) to separate the larger particles from the smaller ones as part of pre-combustion processes. The sizing and scaling of these classifiers are mostly based on empirical formulations. Detailed 3D numerical studies of these classifiers have not been successful in prediction of experimental observations, hence as such cannot be used as reliable tools for scale up studies. The main reason for this anomaly is believed to be failure of the models in capturing the dynamics of particle behavior in bends and ducts where particles form rope like structures with dense particle clusters. It is then imperative that more study is needed into the understanding of rope or cluster formation in gas-solid flows.;The main objective of the current study is to investigate the underlying mechanisms of rope formation phenomena. Gas-solid flow experiments have been performed in a vertical- horizontal 90o glass bend with high speed imaging of the rope formation. Also, several Computational Fluid Dynamics (CFD) simulations have been performed using the commercial CFD package Ansys FLUENT to capture the roping phenomenon, and results have well supported the experimental observations. Several factors affecting rope formation have also been studied. Roping is basically a type of particle clustering in the sense high particle concentration regions are formed in both these phenomenon. Simulations have been performed on Fluid bed risers to capture clustering phenomenon and also to study the role of vorticity in cluster and rope formation with an objective of developing a fundamental definition for roping. MFIX, a multiphase flow code developed by NETL has also been used to capture the roping phenomenon. These results showed that high particle concentration was found to be in low vorticity regions surrounded by clockwise and counter-clockwise vortices. It was observed that there is indeed a vortex roller effect behind the formation of ropes. These results can be used to provide direction in development of computational models to better handle the gas-solid flow dynamics in classifiers.
机译:煤炭仍然是世界范围内广泛用于发电的资源之一。大多数相关行业使用煤粉作为燃料,并通过气力输送将其输送到熔炉。由于二氧化碳,氮和硫化合物等排放物,大量使用煤炭已导致严重的环境问题。据推测,如果提高燃烧效率,将大大减少污染物的排放。煤粉发电厂的燃烧效率受粒度分布的强烈影响。在预燃烧过程中,大多数行业使用旋风分离器(或分级机)将较大的颗粒与较小的颗粒分离。这些分类器的大小和缩放比例主要基于经验公式。这些分类器的详细3D数值研究未能成功预测实验结果,因此不能用作进行大规模研究的可靠工具。认为此异常的主要原因是模型无法捕获弯头和管道中颗粒行为的动力学,在这些弯曲和管道中,颗粒形成具有密集颗粒簇的绳状结构。因此当务之急是需要对气体或固体中的绳索或团簇形成进行更多的研究。;本研究的主要目的是研究绳索形成现象的潜在机理。在垂直-水平的90o玻璃弯管中进行了气固流实验,并对绳索形成进行了高速成像。此外,已经使用商业CFD软件包Ansys FLUENT进行了几次计算流体动力学(CFD)仿真,以捕获绳索现象,并且结果很好地支持了实验观察。还研究了影响绳索形成的几个因素。在这两种现象中都形成了高颗粒浓度区域,因此绳索基本上是颗粒聚集的一种类型。在流化床立管上进行了模拟,以捕获聚类现象,并研究涡度在聚类和绳索形成中的作用,目的是为绳索建立基本定义。 MFIX是由NETL开发的多相流代码,也已用于捕获绕绳现象。这些结果表明,发现高颗粒浓度存在于被顺时针和逆时针旋涡包围的低旋涡区域。据观察,在绳索的形成之后确实存在涡旋滚子效应。这些结果可用于为计算模型的开发提供指导,以更好地处理分类器中的气固流动力学。

著录项

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Mechanical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:52

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