Numerical study of nasal hair effects on breathing comfort and particle deposition in a simplified vestibule region
2025 (English)In: Biomechanics and Modeling in Mechanobiology, ISSN 1617-7959, E-ISSN 1617-7940, Vol. 24, no 5, p. 1513-1533Article in journal (Refereed) Published
Abstract [en]
Nasal hairs, often overlooked in human respiratory system studies, can be a decisive factor in maintaining respiratory health. Vibrissae can capture a certain range of particle sizes due to their filtering function, while they may also contribute to more breathing resistance. In this study, the role of nasal hairs in particle filtration and pressure drop within the nasal vestibule was investigated using computational fluid dynamics (CFD) simulations. Seven nasal hair specifications were examined in simplified human nasal vestibule models under steady laminar flow conditions at two airflow rates of 10 and 15 L/min. The deposition of microparticles in the simulated geometries was also numerically studied. The simulation results showed that the investigated nasal hairs lead to about a 2-20 Pa increase in the pressure drop, depending on the hair specifications and airflow rates. The associated growth in nasal resistance could potentially influence breathing comfort. Additionally, nasal hair was shown to enhance particle filtration, with the deposition fraction of particles correlating with the projected area of the hairs on a normal plane to the flow direction, which goes up by an increase in the number of hairs or their length. These findings clarify the significance of nasal hairs in the respiratory system and aim to balance the trade-off between improved particle filtration and increased breathing resistance due to nasal hairs. The acquired knowledge can be used in recommendations to different individuals regarding nasal hair trimming based on their health conditions.
Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 24, no 5, p. 1513-1533
Keywords [en]
Nasal hairs, Vestibule, Pressure drop, Particle deposition, CFD simulation
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:mdh:diva-72856DOI: 10.1007/s10237-025-01979-yISI: 001523336100001PubMedID: 40616771Scopus ID: 2-s2.0-105009604901OAI: oai:DiVA.org:mdh-72856DiVA, id: diva2:1984566
2025-07-162025-07-162025-11-17Bibliographically approved