首页> 外文期刊>The Annals of Occupational Hygiene >SEMI-EMPIRICAL MODEL FOR THE ASPIRATION EFFICIENCIES OF PERSONAL AEROSOL SAMPLERS OF THE TYPE WIDELY USED IN OCCUPATIONAL HYGIENE
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SEMI-EMPIRICAL MODEL FOR THE ASPIRATION EFFICIENCIES OF PERSONAL AEROSOL SAMPLERS OF THE TYPE WIDELY USED IN OCCUPATIONAL HYGIENE

机译:广泛用于职业卫生的个人气溶胶采样器吸气效率的半实证模型

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摘要

This paper extends what it known about the aspiration efficiencies of blunt aerosol samplers at large angles and under 'orientation-averaged' conditions to the important case of personal samplers worn by workers. Attention is focused on three sampling devices which have particular relevance to industrial hygiene sampling in Britain, the United States and elsewhere. A semi-empirical model for aspiration efficiency is described, based on physical considerations of the nature of air and particle motion near an asymmetric sampling system, like that relevant to personal sampling. The resultant model contains a number of coefficients which, are fitted by non-linear regression to experimental data sets which were available from previously published experiments for the three samplers in question. Agreement for all three data sets is good, with an overall R_(corr)~2 of 68%. Such semi-empirical models can be useful for predicting and interpreting sampler performance until practical versions of more rigorous mathematical and numerical models become available.
机译:本文将关于钝角气溶胶采样器在大角度和“方向平均”条件下的抽吸效率的已知信息扩展到工人佩戴的个人采样器的重要案例。注意集中在与英国,美国和其他地方的工业卫生采样特别相关的三种采样设备上。基于对非对称采样系统附近的空气和粒子运动性质的物理考虑(如与个人采样有关的物理考虑),描述了抽吸效率的半经验模型。结果模型包含许多系数,这些系数通过非线性回归拟合到实验数据集,这些数据集可从先前发布的有关三个采样器的实验中获得。这三个数据集的一致性都很好,总体R_(corr)〜2为68%。在获得更严格的数学和数值模型的实际版本之前,此类半经验模型可用于预测和解释采样器性能。

著录项

  • 来源
    《The Annals of Occupational Hygiene》 |1996年第1期|p.93-113|共21页
  • 作者单位

    Division of Environmental and Occupational Health, School of Public Health, University of Minnesota, Box 807 Mayo, 420 Delaware Street S.E., Minneapolis, MN 55455, U.S.A.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 劳动卫生;
  • 关键词

  • 入库时间 2022-08-18 00:23:55

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