Matematicheskaya Biologiya i Bioinformatika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Mat. Biolog. Bioinform.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Matematicheskaya Biologiya i Bioinformatika, 2023, Volume 18, Issue 2, Pages 347–366
DOI: https://doi.org/10.17537/2023.18.347
(Mi mbb524)
 

This article is cited in 2 scientific papers (total in 2 papers)

Mathematical Modeling

Numeric investigation of non-stationary dust-containing airflow and deposition of dust particles in the lower airways

P. V. Trusovab, N. V. Zaitsevaa, M. Yu. Cinkerab, A. I. Kuchukovab

a Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, Russia
b Perm National Research Polytechnic University, Perm, Russia
References:
Abstract: Within creation of the mathematical model to describe the human respiratory system, we accomplished numeric investigation of non-stationary dust-containing airflow as well as dust particle deposition in the lower airways with the real anatomic geometry based on CT scans. Inhaled air is considered a multi-phase mixture of a homogenous gas and solid dust particles. Motion of a basic carrier gas phase is described using the Euler approach. Solid dust particles are a dispersed carried phase, which is described with the Lagrange approach. The $k$$\omega$ model is used to describe turbulence. We consider non-stationary airflow during calm inhalation. The article presents calculated flow streamlines for the velocity of particles in inhaled air in the lower airways at different moments. We quantified a share of deposited particles (SDP) with various dispersed structure (between 10 nm and 100 $\mu$m) and density (1000 kg/m$^3$, 2000 kg/m$^3$, 2700 kg/m$^3$) in the lower airways; the article provides computed motion paths of particulate matter. Solid particle deposition in the airways has different efficiency depending on particle sizes and density. SDP goes down as their sizes and masses decrease. Particle density mostly influences differences in deposition of micro-sized particles (2.5–20 $\mu$m): as particle mass and density grow, SDP in the airways also increases. SDP with their diameter being less than 1$\mu$m amounts to approximately 20% of all the particles that reach the inlet to the trachea. According to the results obtained by numeric modeling, the greatest share of dust particles penetrates the right main bronchus, predominantly the right middle and inferior lobar bronchi. Dust particles are able to induce diseases of the lungs, pneumoconiosis included.
Key words: human airways, numerical modeling, transient flow, particulate matter, particle deposition, micro-sized and nano-sized particles, density particles.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation FSNM-2023-0003
Received 22.09.2023, 16.10.2023, Published 23.10.2023
Document Type: Article
Language: Russian
Citation: P. V. Trusov, N. V. Zaitseva, M. Yu. Cinker, A. I. Kuchukov, “Numeric investigation of non-stationary dust-containing airflow and deposition of dust particles in the lower airways”, Mat. Biolog. Bioinform., 18:2 (2023), 347–366
Citation in format AMSBIB
\Bibitem{TruZaiCin23}
\by P.~V.~Trusov, N.~V.~Zaitseva, M.~Yu.~Cinker, A.~I.~Kuchukov
\paper Numeric investigation of non-stationary dust-containing airflow and deposition of dust particles in the lower airways
\jour Mat. Biolog. Bioinform.
\yr 2023
\vol 18
\issue 2
\pages 347--366
\mathnet{http://mi.mathnet.ru/mbb524}
\crossref{https://doi.org/10.17537/2023.18.347}
Linking options:
  • https://www.mathnet.ru/eng/mbb524
  • https://www.mathnet.ru/eng/mbb/v18/i2/p347
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:29
    Full-text PDF :14
    References:5
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024