Abstract

Predicting the performance of finely atomized sprays used for airborne dust suppression is an important aspect in ensuring workers are properly protected from harmful dust emissions in the industries that rely on bulk materials handling and processing. It is well known that finely atomized sprays are effective for airborne dust capture, however there is less understanding of the best methods for predicting spray dispersion especially in adverse conditions, such as when exposed to high cross-winds. This study aims to evaluate the ability for CFD to be used in the prediction of spray performance in applications relating to airborne dust suppression. An Eulerian-Lagrangian approach is evaluated against available experimental data of sprays operating in quiescent conditions and with a perpendicularly applied cross-wind. Varying levels of agreement have been achieved based on a given set of input parameters: prediction of spray velocity was found to be within 20% of measured values, droplet size was within 13% and mist penetration within 10%. The results demonstrate the potential for CFD to be practically applied in the design of dust suppression systems, especially in regard to mist penetration or reach, which is one of the primary concerns when selecting appropriate nozzle designs and operating parameters.

摘要

在依赖散装材料处理和加工的行业中，预测用于抑制空气粉尘的精细雾化喷雾的性能是确保工人得到适当保护免受有害粉尘排放的一个重要方面。众所周知，精细雾化喷雾可有效捕获空气中的粉尘，但人们对预测喷雾分散的最佳方法知之甚少，尤其是在不利条件下，例如暴露于强侧风时。本研究旨在评估 CFD 用于预测与空气粉尘抑制相关的应用中的喷雾性能的能力。欧拉-拉格朗日方法根据在静止条件下和垂直施加的侧风下运行的喷雾的可用实验数据进行评估。基于一组给定的输入参数，已经实现了不同程度的一致性：发现喷雾速度的预测在测量值的 20% 以内，液滴尺寸在 13% 以内，雾渗透在 10% 以内。结果表明，CFD 具有实际应用在抑尘系统设计中的潜力，特别是在雾气渗透或到达方面，这是选择合适的喷嘴设计和操作参数时的主要关注点之一。