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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Side-view-only determination of drag coefficient and settling velocity for non-spherical particles
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Side-view-only determination of drag coefficient and settling velocity for non-spherical particles

机译：仅侧视图 - 非球形颗粒的拖曳系数和沉降速度的确定

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摘要

Particle settling velocity is a critical operating parameter in many industrial processes. Several correlations with reasonable accuracy exist for predicting settling velocity for non-spherical particles: however, they all share a common shortfall: they require detailed 3D knowledge of the particle shape and size that is not available in many practical cases, particularly in an on-line industrial context. These correlations are typically therefore unsuitable for use in situations where limited particle geometric information is available or where particle characteristics can change during process operation. This paper presents a method of predicting settling velocity and drag coeffecient with only 2D geometric information that can be obtained from a single side view of a particle, which is feasible to obtain using on-line imaging techniques. The correlation is formed using a large set of data obtained from the literature. We show that for a set of irregular volcanic particles not used to form the correlation, 74% of the predictions are within +/- 25% error. For comparison, when a standard correlation that uses 3D geometric information is applied to the same set of particles, 81% of predictions are within that error range. The results show that it is possible to obtain predictions using only side-view geometric data with an accuracy close to that achieved by other correlations that require, at minimum, particle surface area and volume. The technique works well when particles have aspect ratios less than five, a range that includes most particle shapes encountered in nature and in industrial processes. The new correlation presented here enables the prediction of settling velocity with reasonable accuracy in an on-line context for many industrial processes, which has not previously been possible. (C) 2018 Published by Elsevier B.V.
机译：粒子沉降速度是许多工业过程中的关键操作参数。存在具有合理精度的几个相关性以预测非球形粒子的沉降速度：然而，它们都分享了常见的短缺：它们需要详细的3D知识在许多实际情况下不可用的颗粒形状和尺寸，特别是在on-中线路工业背景。因此，这些相关性通常不适合用于有限粒子几何信息可用的情况或在处理操作期间可以改变粒子特性的情况。本文介绍了一种预测稳定速度和拖动系数的方法，其仅具有可以从粒子的单个侧视图获得的仅2D几何信息，这是使用在线成像技术获得的可行性。使用从文献中获得的大集数据形成相关性。我们表明，对于未用于形成相关性的一组不规则的火山粒子，74％的预测在+/- 25％的误差范围内。为了比较，当使用3D几何信息的标准相关性应用于相同的一组粒子时，81％的预测在该误差范围内。结果表明，可以仅使用侧视图几何数据获得预测，其精度接近由所需的其他相关性，最小颗粒表面积和体积实现。当粒子具有小于五的宽高比时，该技术效果良好，包括在自然界和工业过程中遇到的大多数粒子形状的范围。这里提出的新相关性使得能够在许多工业过程中以合理的准确性预测稳定速度，这对于此前没有以前没有的工业过程。 （c）2018由elsevier b.v发布。

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