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Hydrodynamic characteristics of tapered fluidized bed in ternary mixture using Artificial Neural Network

机译:基于人工神经网络的锥形流化床三元混合物的水动力特性。

摘要

Tapered beds are extensively used in various industrial chemical processes. These beds are remedy for certain drawbacks of the gas-solid system. To study the hydrodynamic characteristics of homogeneous ternary mixtures, several experiments have been carried out for glass beads as a material with different compositions of various sizes of particles. The correlations for bed expansion ratio and fluctuation ratio are developed using system parameters as initial static bed height, average particle diameter and superficial gas velocity by dimensionless analysis. The experimental values are compared with correlations developed by Artificial Neural Network (ANN) and Dimensional Analysis (DA) approach. The correlations obtained by ANN and DA are agreed well with experimental values.
机译:锥形床广泛用于各种工业化学过程。这些床可以弥补气固系统的某些缺陷。为了研究均匀的三元混合物的流体力学特性,已经对玻璃珠作为具有不同大小的各种颗粒组成的材料进行了一些实验。通过无量纲分析,使用系统参数,如初始静态床高,平均粒径和表观气体速度,开发了床膨胀率和波动率的相关性。将实验值与通过人工神经网络(ANN)和尺寸分析(DA)方法开发的相关性进行比较。 ANN和DA获得的相关性与实验值非常吻合。

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    Konduru Pradeep Kumar;

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  • 年度 2011
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