首页> 外文OA文献 >Bubble-based EMMS mixture model applied to turbulent fluidization Powder Technology
【2h】

Bubble-based EMMS mixture model applied to turbulent fluidization Powder Technology

机译:基于气泡的Emms混合模型应用于湍流流化粉末技术

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Turbulent fluidization is now widely recognized as a distinct flow regime and is commonly utilized in industrial fluidized-bed reactors. However, relatively fewer attempts have been made to rigorously model these systems in comparison to bubbling and circulating fluidized beds. In this work, we have rewritten the original bubble based EMMS model in form of a mixture to apply it to turbulent fluidization. At microscale this mixture is composed of gas and particles whereas voids and gas-particle suspension make up this mixture at mesoscale level. Subsequently, all the system properties are then calculated in terms of mixture rather than individual phases. With the minimization of the objective function for the bubbling mixture, the set of equations is then solved numerically. The objective function, used to close the system of equations, is composed of the energy consumption rates required to suspend gas-particle suspension and the energy consumed due to interaction between suspension and voids. The model is then applied to simulate gas-solid turbulent fluidized beds. Simulation results are encouraging as the model is able to predict the dense bottom and dilute top zones along the height of the bed. Comparison of results with experimental data and homogeneous drag model has been made for validation purposes.
机译:湍流化现在已被广泛认为是一种独特的流态,并且通常用于工业流化床反应器中。然而,与鼓泡和循环流化床相比,已经进行了相对较少的尝试来对这些系统进行严格建模。在这项工作中,我们以混合物的形式重写了原始的基于气泡​​的EMMS模型,以将其应用于湍流化。在微观尺度上,该混合物由气体和颗粒组成,而空隙和气体颗粒悬浮液在中尺度水平上构成该混合物。随后,然后根据混合物而不是各个相来计算所有系统属性。随着气泡混合物目标函数的最小化,然后用数值方法求解方程组。用于关闭方程组的目标函数由悬浮气体颗粒悬浮液所需的能量消耗率和由于悬浮液与空隙之间的相互作用而消耗的能量组成。然后将该模型应用于模拟气固湍流床。模拟结果令人鼓舞,因为该模型能够预测沿床层高度的稠密底部和稀薄顶部区域。为了进行验证,已将结果与实验数据和均质阻力模型进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号