Validation of Computational Fluid Dynamics Models for Evaluating Loose-Fitting Powered Air-Purifying Respirators
Public Domain
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2018/08/04
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Description:Loose-fitting powered air-purifying respirators (PAPRs) are used in healthcare settings to reduce exposure to high-risk respiratory pathogens. Innovative computational fluid dynamics (CFD) models were developed for evaluating loose-fitting PAPR performance. However, the computational results of the CFD models have not been validated using actual experimental data. Experimental testing to evaluate particle facepiece leakage was performed in a test laboratory using two models of loose-fitting PAPRs. Each model was mounted on a static (non-moving) advanced headform placed in a sodium chloride (NaCl) aerosol test chamber. The headform performed cyclic breathing via connection to a breathing machine. High-efficiency particulate air (HEPA)-filtered air was supplied directly to the PAPR facepiece using laboratory compressed supplied-air regulated with a mass-flow controller. One model was evaluated with six supplied-air flowrates from 50-215 L/min (Lpm) and the other model with six flowrates from 50-205 Lpm. Three different workrates (minute volumes) were evaluated: low (25 Lpm), moderate 46 (Lpm), and high 88 (Lpm). Manikin penetration factor (mPF) was calculated as the ratio of chamber particle concentration to the in-facepiece concentration. Overall, data analyses indicated that the mPF results from the simulations were well correlated with the experimental laboratory data for all data combined (r = 0.88). For data at the three different workrates (high, moderate, low) for both models combined, the r-values were 0.96, 0.97, and 0.77, respectively. The CFD models of the two PAPR models were validated and may be utilized for further research. [Description provided by NIOSH]
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ISBN:9783319960883
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ISSN:2194-5357
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Pages in Document:176-185
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Volume:819
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NIOSHTIC Number:nn:20052731
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Citation:Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume II: Safety and Health, Slips, Trips and Falls, (Advances in Intelligent Systems and Computing). Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y eds. Cham, Switzerland: Springer, 2018 Aug; 819:176-185
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Contact Point Address:M. Bergman, National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Pittsburgh, PA
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Email:mbergman@cdc.gov
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Federal Fiscal Year:2018
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Peer Reviewed:False
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Source Full Name:Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume II: Safety and Health, Slips, Trips and Falls, (Advances in Intelligent Systems and Computing)
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Main Document Checksum:urn:sha-512:899bbd621f1a51ca762d2253529c600e7d3db8043cdee82527a99a4dd1ba37954ab935b49e673f30e914c0ad7f00a5e170ea7a36db4881f9882722594b5c8c46
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