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IJESD 2020 Vol.11(10): 477-482 ISSN: 2010-0264
doi: 10.18178/ijesd.2020.11.10.1293

Statistical Study of the Effect of Particle Properties on the Particle Penetration in the Idealized Trachea

R. Piemjaiswang and B. Chalermsinsuwan

Abstract— The particulate matter (PM) is one of the harmful pollutants that causing an impact on human health. To study the significance of those small particle properties, the research had been conducted using three-dimensional computational fluid dynamics with the Eulerian-Lagrangian approach. The trajectories of the particles were tracked and recorded. The effect of particle diameter, particle density, and particle sphericity on the escaped particle percentage was investigated and characterized using the statistical analysis of variance. The results showed that the particle diameter, particle density, their interaction, and the quadratic effect of the particle diameter played important roles in the penetration of those injected particles.

Index Terms— CFD, idealized trachea, particulate matter.

R. Piemjaiswang is with Environmental Research Institute, Chulalongkorn University, Bangkok 10330, Thailand (e-mail: ratchanon.p@chula.ac.th). B. Chalermsinsuwan is with Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand (e-mail: benjapon.c@chula.ac.th).

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Cite: R. Piemjaiswang and B. Chalermsinsuwan, " Statistical Study of the Effect of Particle Properties on the Particle Penetration in the Idealized Trachea," International Journal of Environmental Science and Development vol. 11, no. 10, pp. 477-482, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-0264 (Print)
  • Abbreviated Title: Int. J. Environ. Sci. Dev.
  • Frequency: Monthly
  • DOI: 10.18178/IJESD
  • Editor-in-Chief: Prof. Richard Haynes
  • Executive Editor: Ms. Nancy Y. Liu
  • Indexing: Scopus (since 2019), DOAJGoogle ScholarCrossref, ProQuest, EBSCO, etc. 
  • E-mail: ijesd@ejournal.net