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Predicting blending efficiency using only key flow properties--The next step in blender design.

机译:仅使用关键流动特性预测混合效率-搅拌器设计的下一步。

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摘要

Blending is a fundamental and crucial process used in industry. Despite the numerous years spent studying blending it is still a poorly understood phenomenon. The difficulty arises due to the fact that blending is a convoluted process involving material properties, blender geometry and operational parameters. We devised a method of uncoupling them from one another to see the impact that material properties has on the blending process. Two continuous models are proposed that predicts blending for a rotary shell blender for a mixture consisting of components of the same physical properties. The first model assumes a parabolic shape for the plastic region where the thickness at the center is based on material properties and assumes the velocity profile within the plastic region is an exponential one. The second model utilizes the method of characteristics to determine the morphology and velocity profile of the plastic region based on material properties. Simulations were performed at various cohesion values to ascertain its effect on blending. The simulations were compared with experiments where a binary mixture of sand of the same physical properties was blended in a rotary shell blender at various cohesion values.
机译:混合是工业中使用的基本且至关重要的过程。尽管花了很多年研究混合技术,但它仍然是一个鲜为人知的现象。由于混合是涉及材料特性,混合器几何形状和操作参数的复杂过程,因此出现了困难。我们设计了一种将它们彼此分离的方法,以查看材料特性对共混过程的影响。提出了两个连续模型,该模型可预测由相同物理性质的组分组成的混合物的旋转壳式混合器的混合。第一个模型假设塑料区域的抛物线形状,其中中心的厚度基于材料属性,并假定塑料区域内的速度分布是指数形式。第二个模型利用特征方法,根据材料属性确定塑料区域的形态和速度分布。在各种内聚值下进行模拟,以确定其对混合的影响。将模拟与实验进行了比较,在实验中,将具有相同物理特性的二元沙子混合物在旋转壳式搅拌器中以各种内聚力值进行了混合。

著录项

  • 作者

    Djomlija, Milorad.;

  • 作者单位

    University of Florida.;

  • 授予单位 University of Florida.;
  • 学科 Engineering Chemical.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 120 p.
  • 总页数 120
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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