论文标题
测量与工业相关的颗粒混合物的隔离特征：第一部分 - 连续模型方法
Measuring segregation characteristics of industrially relevant granular mixtures: Part I -- A continuum model approach
论文作者
论文摘要
我们提出了一种估计隔离参数的方法，$ s，$ a键输入颗粒流的连续传输模型中的密钥输入。 $ S $是通过最大程度地减少测量和模型预测浓度概况之间的差异来确定的。为了验证该方法，我们在准2D有限的堆流中进行了分散元素方法模拟。结果数据表明，从浓度概况计算出的$ S $与直接测量值一致。该方法的准确性严重取决于填充过程中的速度曲线，但仅微弱地取决于扩散系数。当速度配置文件名称为跨度不变时，估计和测量的$ S $之间的错误为$ 10 \％$。该方法旨在用于实际应用（在第二部分中描述），因此我们将速度曲线的表征限制为可以轻松地实验确定的速度曲线，并探索浓度谱对堆侧壁之间间隙变化的敏感性。
We present a method to estimate the segregation parameter, $S,$ a key input in a continuum transport model of particulate flows. $S$ is determined by minimizing the difference between measured and model-predicted concentration profiles. To validate the approach, we conduct discrete element method simulations of size-bidisperse mixtures in quasi-2D bounded heap flow; the resulting data show that $S$ calculated from concentration profiles is consistent with the directly measured value. The method's accuracy depends critically on the velocity profile during filling, but only weakly on the diffusion coefficient. When the velocity profile is nominally spanwise invariant, the error between estimated and measured $S$ is $10\%$. This method is intended for practical application (described in Part II), so we restrict characterization of the velocity profile to that which can be readily determined experimentally, and explore the sensitivity of concentration profiles to variation of the gap between the sidewalls of the heap.
