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Empirical engineering models for airborne respirable dust capture from water sprays and wet scrubbers

机译:从水喷雾和湿式洗涤器捕获空气中可吸尘的经验工程模型

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摘要

Airborne respirable coal dust capture by water sprays or wet scrubbers has been studied and developed over many decades as an engineering control to reduce dust exposure in coal mines and combat coal worker pneumoconiosis. Empirical relationships and deterministic models for particular dust capture experiments have previously been devised to show the key parameters involved in airborne coal dust capture. Many of the results from these models show that the significant parameters related to airborne dust capture are water spray pressure, water quantity, water droplet size, relative water droplet-to-dust particle velocity, and total operating air pressure of the scrubber. However, many airborne dust capture efficiency relationships and models developed for particular experiments cannot be readily applied to forecast the dust collection efficiency of different spray and scrubber design configurations, which rely on several key dimensional engineering measures. This study examines engineering measures from previous water spray and wet scrubber experiments conducted by the U.S. National Institute for Occupational Safety and Health (NIOSH) and the U.S. Bureau of Mines (USBM) to develop empirical models for wet collection of airborne dusts. A dimensionless empirical model developed for predicting airborne dust capture efficiency of water sprays and wet scrubbers presented.
机译:通过水喷雾或湿式洗涤器捕获的空气中可吸入煤尘捕获,并在数十年中作为一种工程控制,以减少煤矿和作战煤炭工人尘肺尘埃病的工程控制。先前已经设计了特定灰尘捕获实验的经验关系和确定性模型,以显示空气煤尘捕获中涉及的关键参数。这些模型的许多结果表明,与空中粉尘捕获有关的重要参数是水喷射压力,水量,水滴尺寸,相对水滴到粉尘颗粒速度,以及洗涤器的总操作空气压力。然而,许多用于特定实验开发的空中粉尘捕获效率和模型不能容易地应用于预测不同喷雾和洗涤器设计配置的灰尘收集效率,依靠若干关键维度工程措施。本研究探讨了美国国家职业安全和健康研究所(Niosh)和美国矿业局(USBM)进行的先前水喷雾和湿式洗涤器实验的工程措施,为潮流粉尘收集的实证模型开发了实证模型。一种为预测喷水和湿洗涤器预测空气捕获效率而开发的无量纲实证模型。

著录项

  • 来源
    《Mining Engineering》 |2018年第10期|共8页
  • 作者单位

    Pittsburgh Mining Research Division National Institute for Occupational Safety and Health (NIOSH);

    Pittsburgh Mining Research Division National Institute for Occupational Safety and Health (NIOSH);

    Veterans Administration;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般性问题;
  • 关键词

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