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管道弯头内及弯头后弯曲诱导颗粒沉积的数值研究。

A numerical study of bend-induced particle deposition in and behind duct bends.

作者信息

Sun Ke, Lu Lin, Jiang Hai

机构信息

Department of Building Services Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.

出版信息

Build Environ. 2012 Jun;52:77-87. doi: 10.1016/j.buildenv.2011.12.009. Epub 2011 Dec 23.

Abstract

This paper investigated the microparticle deposition and distribution due to the presence of duct bends by employing the Eulerian approach with Reynolds stress turbulent model and a Lagrangian trajectory method. The air velocity, particle velocity and particle deposition velocity were validated with available experimental data. Several particle deposition ratios were proposed to describe the particle accumulation due to bends. Particle deposition velocities in and behind bends were analyzed numerically. It is found that bend walls with surfaces of higher capture velocity tend to accumulate more contaminant particles as seen with an increased factor of 1.2 times on particle deposition velocity. Particle deposition reaches a maximum value near bend outlet, e.g. 15.2 times deposition ratio for particles of  = 23 μm, and decay exponentially to a status of fully developed deposition in approximately 10 length. Compared to traditional consideration of sole deposition in bends, a new general concept of total deposition including that in bends and behind bends is proposed to better describe the particle deposition induced by bends since the enhancement deposition ratios behind bends compose 42-99% in the total ratios for particles of  = 3-23 μm. Furthermore, models of fast power and exponential decay trend are demonstrated to uncover the relationship among enhancement factor of deposition velocity behind bend, dimensionless distance behind bends and particle Stokes number. The present study can contribute to the understanding and controlling of contaminant aerosol flow behavior in ducts, e.g. particle sampling, removal and associated epidemiologic study between particle and human health.

摘要

本文采用带雷诺应力湍流模型的欧拉方法和拉格朗日轨迹法,研究了由于管道弯头的存在而导致的微粒沉积和分布情况。将空气速度、颗粒速度和颗粒沉积速度与现有的实验数据进行了验证。提出了几种颗粒沉积比来描述由于弯头导致的颗粒积累。对弯头内部和后方的颗粒沉积速度进行了数值分析。研究发现,具有较高捕获速度表面的弯头壁往往会积累更多的污染颗粒,颗粒沉积速度增加了1.2倍。颗粒沉积在弯头出口附近达到最大值,例如对于粒径为23μm的颗粒,沉积比为15.2倍,并在大约10倍管道长度内呈指数衰减至充分发展的沉积状态。与传统的仅考虑弯头内沉积的情况相比,提出了一个包括弯头内和弯头后方沉积的总沉积新概念,以更好地描述由弯头引起的颗粒沉积,因为对于粒径为3 - 23μm的颗粒,弯头后方的增强沉积比在总沉积比中占42 - 99%。此外,还展示了快速幂模型和指数衰减趋势模型,以揭示弯头后方沉积速度增强因子、弯头后方无量纲距离和颗粒斯托克斯数之间的关系。本研究有助于理解和控制管道内污染气溶胶的流动行为,例如颗粒采样、去除以及颗粒与人类健康之间的相关流行病学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3946/7126509/983f3c3a1275/gr1.jpg

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