Mathematical model of air flow movement in a motorized filter respirator

User Rating:  / 6
PoorBest 

Authors:


S.I.Cheberiachko, orcid.org/0000-0003-3281-7157, Dnipro University of Technology, Dnipro, Ukraine. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

D.V.Slavinskyi, orcid.org/0000-0002-7540-2077, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yu.I.Cheberiachko*, orcid.org/0000-0001-7307-1553, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.V.Deryugin, orcid.org/0000-0002-2456-7664,Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (3): 097 - 103

https://doi.org/10.33271/nvngu/2023-3/097



Abstract:



Purpose.
Development of a mathematical model of the air flow movement in a motorized filter respirator (hereinafter referred to as MFR), which allows ensuring the control of the fan parameters, taking into account external and internal influences on the duration of the protective action and favourable operating conditions.


Methodology.
To describe linear objects of the “input-output” type, it is convenient to use their transfer functions as mathematical models. In this case, to determine the mathematical description of the MFR operation, two tasks need to be solved. The first is related to finding the structure of the mathematical model, and the second involves determining the coefficients of the polynomials in the numerator and denominator of the transfer function that describes the motion of the air flow in the MFR.


Findings.
A mathematical model of airflow in a MFR has been developed in the form of a transfer function of the third order; it can be used to develop a pressure control system for the air in the under-mask space in accordance with the user’s work mode in order ensure comfortable working conditions. The presented mathematical model of airflow in the MFR differs from the existing approaches by taking into account the influence of the following external and internal parameters of the system on the performance indicators: the user’s work mode, atmospheric pressure, filter resistance, pressure drop in air ducts with the effect of air accumulation in the under-mask space based on the “capacity-resistance” principle. Numerical coefficients of the mathematical model of airflow in the air duct of the MFR have been determined, which allow adjusting the number of fan rotations according to the time of operation, the increase in resistance on the filters, and the operating mode.


Originality.
A correlation has been established between the external and internal parameters of the MFR: atmospheric pressure, pressure drop in the air duct, filter resistance, and the user’s work mode with the effect of air accumulation in the sub-mask space reflected according to the “capacity-resistance” principle.


Practical value.
The parameters of the mathematical model have been determined, which can be used when developing a control system for the airflow movement in the MFR: changes in air flow rate in accordance with different conditions of physical exertion of the user when performing professional activities.



Keywords:
motorized filter respirator, breathing resistance, protective efficiency

References.


1. Roberts, V. (2014). To PAPR or not to PAPR? Canadian journal of respiratory therapy, 50(3), 87-90. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456839/.

2. Gorova, A., Pavlychenko, A., Kulyna, S., & Shkremetko, O. (2012). Ecological problems of post-industrial mining areas. Geomechanical Processes During Underground Mining, 35-40. https://doi.org/10.1201/b13157-7.

3. Kempfle, J. S., Panda, A., Hottin, M., Vinik, K., Kozin, E. D., Ito, C. J., & Remenschneider, A. K. (2021). Effect of Powered Air-Purifying Respirators on Speech Recognition Among Health Care Workers. Otolaryngology-Head and Neck Surgery, 164(1), 87-90. https://doi.org/10.1177/0194599820945685.

4. Gorova, A., Pavlychenko, A., Borysovs’ka, O., & Krups’ka, L. (2013). The development of methodology for assessment of environmental risk degree in mining regions. Annual Scientific-Technical Colletion – Mining of Mineral Deposit, 207-209. https://doi.org/10.1201/b16354-38.

5. Licina, A., Silvers, A., & Stuart, R. L. (2020). Use of powered air-purifying respirator (PAPR) by healthcare workers for preventing highly infectious viral diseases a systematic review of evidence. Systematic Reviews, 9, 173. https://doi.org/10.1186/s13643-020-01431-5.

6. Powell, J. B., Kim, J.-H., & Roberge, R. J. (2017). Powered air-purifying respirator use in healthcare: Effects on thermal sensations and comfort. Journal of Occupational and Environmental Hygiene, 14(12), 947-954. https://doi.org/10.1080/15459624.2017.1358817.

7. Bazaluk, O., Ennan, A., Cheberiachko, S., Deryugin, O., Cheberiachko, Y., Saik, P., Lozynskyi, V., & Knysh, I. (2021). Research on Regularitiesof Cyclic Air Motion through a Respirator Filter. Applied Sciences, 11, 3157. https://doi.org/10.3390/app11073157.

8. Cheberyachko, S., Cheberyachko, Y., Naumov, M., & Deryugin, O. (2022). Development of an algorithm for effective design of respirator half-masks and encapsulated particle filters. International Journal of Occupational Safety and Ergonomics, 2(28), 1145-1159. https://doi.org/10.1080/10803548.2020.1869429.

9. Kothakonda, A., Atta, L., Plana, D., Ward, F., Davis, C., Cramer, A., & Sorger, P. K. (2021). De Novo Powered Air-Purifying Respirator Design and Fabrication for Pandemic Response. Frontiers in bioengineering and biotechnology, 9, 690905. https://doi.org/10.3389/fbioe.2021.690905.

10. National Institute for Occupational Safety and Health (NIOSH) (2005). Determination of air flow resistance of breath responsive, powered air-purifying respirators (PAPR’s) standard testing procedure (STP). Retrieved from https://www.cdc.gov/niosh/npptl/stps/pdfs/RCT-APR-0065-508.pdf.

11. Chopra, J., Abiakam, N., Kim, H., Metcalf, C., Worsley, P., & Cheong, Y. (2021). The influence of gender and ethnicity on facemasks and respiratory protective equipment fit: a systematic review and meta-analysis. BMJ global health, 6(11), e005537. https://doi.org/10.1136/bmjgh-2021-005537.

12. Coffey, C., Miller, C., & Szalajda, J. (2021). The history of the evaluation of particulate respirator fitting characteristics in U.S. approval requirements. Journal of Occupational and Environmental Hygiene, 18(10-11), 481-488. https://doi.org/10.1080/15459624.2021.1976411.

13. Sung, S.-M., Yang, J.-M., Park, T.-Y., Ji, D.-J., Oh, J., Lim, W.-S., & Jung, J.-H. (2021). A Study on a High-Purity Filter System of an Air Charger for an Air Respirator. Fire Science and Engineering, 35(5), 45-50. https://doi.org/10.7731/KIFSE.cf160bf0.

14. National Institute for Occupational Safety and Health (NIOSH) (n.d.). Certified Equipment List Search. Retrieved from https://www2a.cdc.gov/drds/cel/cel_cbrn_results.asp?startrecord=1&maxrecords=50&Search=QS&cbrn=cbrn_papr.

15. Larraza, S., Dey, N., Karbing, D. S., Nygaard, M., Winding, R., & Rees, S. E. (2014). A mathematical model for simulating respiratory control during support ventilation modes. IFAC Proceedings, 47(3), 8433-8438. https://doi.org/10.3182/20140824-6-ZA-1003.01024.

16. Weiss, R., Guchlerner, L., Weissgerber, T., Filmann, N., Haake, B., Zacharowski, K., …, & Diensthuber, M. (2021). Powered air-purifying respirators used during the SARS-CoV-2 pandemic significantly reduce speech perception. Journal of Occupational Medicine and Toxicology, 16, 43. https://doi.org/10.1186/s12995-021-00334-y.

17. Warliah, L., Rohman, A. S., & Rusmin, P. H. (2012). Model Development of Air Volume and Breathing Frequency in Human Respiratory System Simulation. Procedia – Social and Behavioral Sciences, 67, 260-268. https://doi.org/10.1016/j.sbspro.2012.11.328.

18. Shi, Y., Ren, S., Cai, M., & Xu, W. (2014). Modelling and Simulation of Volume Controlled Mechanical Ventilation System. Mathematical Problems in Engineering, 2014, ID 271053. https://doi.org/10.1155/2014/271053.

19. Lazarevic, S., Čongradac, V., Andjelkovic, A., Kljajić, M. V., & Kanovic, Z. (2019). District heating substation elements modeling for the development of the real-time model. Thermal Science, 23(3B), 2061-2070. https://doi.org/10.2298/TSCI181226031L.

20. Xu, S.S., Lei, Z., Zhuang, Z., & Bergman, M. (2019). Numerical Simulations of Exhaled Particles from Wearers of Powered Air Purifying Respirators. Journal of the International Society for Respiratory Protection, 36(2), 66-76. Retrieved from https://www.isrp.com/the-isrp-journal/journal-public-abstracts/1165-vol-36-no-2-2019-pp-66-76-xu-open-access/file.

21. Holinko, V. I., Cheberiachko, S. I., Cheberiachko, Yu. I., Deryugin, O. V., Slavinskyi, D. V., Radchuk, D. I., & Klimov, D. H. (2006). Filtering respiratory apparatus with forced air supply (Ukrainian Patent No. u202006362). Ukraine. Retrieved from https://base.uipv.org/searchINV/search.php?action=search.

22. Hendryx, M., & Luo, J. (2020). Natural gas pipeline compressor stations: VOC emissions and mortality rates. The Extractive Industries and Society, 7(3), 864-869. https://doi.org/10.1016/j.exis.2020.04.011.

 

Visitors

6318857
Today
This Month
All days
2525
54049
6318857

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

Contacts

D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (056) 746 32 79.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home Archive by issue 2023 Content №3 2023 Mathematical model of air flow movement in a motorized filter respirator