Airborne nanoparticles filtration performance of fibrous media: A review

Abdolghader, Pooya; Brochot, Clothilde; Haghighat, Fariborz; Bahloul, Ali

doi:10.1080/23744731.2018.1452454

Cited by 21 publications

(11 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, a recent study on utilizing cloth face masks to fight the COVID-19 pandemic found that cloth can stop particles smaller than 5 μm, and these particles are filtered by impaction, diffusion, and sedimentation [ 7 ]. As a matter of fact, gravitational forces can be completely neglected for particles smaller than 5 μm as they become very small compared to other forces [ 75 , 76 ] and less efficient under large face velocities [ 77 ]. In case of viral transmission, large particles either evaporate or break down to smaller sized droplets that can travel for several meters rather than settling due to gravitational forces [ 70 ].…”

Section: Filtration Mechanismmentioning

confidence: 99%

“…As particles’ size, face velocity, and densities increase, the particles’ inertia increases inducing them to change their direction from the airflow streamlines and collide within the filter’s fiber [ 72 , 75 , 77 , 78 ]. Both inertial impaction and gravity sedimentation mechanisms are only applicable for medium sized particles (>1 μm to 10 μm) [ 6 , 70 , 79 ] and on filters made of nonwoven cloth [ 7 , 80 ].…”

Section: Filtration Mechanismmentioning

confidence: 99%

“…In this case, at the highest inhalation flow rate, particle penetration would be the highest (i.e., lowest FE). It is worth mentioning that the effect of Brownian Motion on smaller particles is significant, specifically at particle sizes less than 100 nm [ 75 , 76 , 79 ] to 200 nm [ 72 ]. For instance, it has been shown that diffusion becomes a sufficient mechanism for aerosol particles less than 100 nm filtered by nonwoven fabrics [ 80 ], while surgical and any cloth-based masks do not filter by electrostatic interactions but rather employ diffusion and inertial impaction at particle size less than or equal to 1 µm [ 81 ].…”

Section: Filtration Mechanismmentioning

confidence: 99%

See 2 more Smart Citations

Advanced Research and Development of Face Masks and Respirators Pre and Post the Coronavirus Disease 2019 (COVID-19) Pandemic: A Critical Review

Ogbuoji

Zaky²,

Escobar

2021

Polymers

View full text Add to dashboard Cite

The outbreak of the COVID-19 pandemic, in 2020, has accelerated the need for personal protective equipment (PPE) masks as one of the methods to reduce and/or eliminate transmission of the coronavirus across communities. Despite the availability of different coronavirus vaccines, it is still recommended by the Center of Disease Control and Prevention (CDC), World Health Organization (WHO), and local authorities to apply public safety measures including maintaining social distancing and wearing face masks. This includes individuals who have been fully vaccinated. Remarkable increase in scientific studies, along with manufacturing-related research and development investigations, have been performed in an attempt to provide better PPE solutions during the pandemic. Recent literature has estimated the filtration efficiency (FE) of face masks and respirators shedding the light on specific targeted parameters that investigators can measure, detect, evaluate, and provide reliable data with consistent results. This review showed the variability in testing protocols and FE evaluation methods of different face mask materials and/or brands. In addition to the safety requirements needed to perform aerosol viral filtration tests, one of the main challenges researchers currently face is the inability to simulate or mimic true aerosol filtration scenarios via laboratory experiments, field tests, and in vitro/in vivo investigations. Moreover, the FE through the mask can be influenced by different filtration mechanisms, environmental parameters, filtration material properties, number of layers used, packing density, fiber charge density, fiber diameter, aerosol type and particle size, aerosol face velocity and concentration loadings, and infectious concentrations generated due to different human activities. These parameters are not fully understood and constrain the design, production, efficacy, and efficiency of face masks.

show abstract

Section: Filtration Mechanismmentioning

confidence: 99%

Section: Filtration Mechanismmentioning

confidence: 99%

Section: Filtration Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Research and Development of Face Masks and Respirators Pre and Post the Coronavirus Disease 2019 (COVID-19) Pandemic: A Critical Review

Ogbuoji

Zaky²,

Escobar

2021

Polymers

View full text Add to dashboard Cite

show abstract

“…Consequently, physical modeling of them is only possible at all with great effort. A distinct feature of filter loading for PHM research is that it is one of the few failure mechanisms with significant complexity, besides crack propagation, for which several physical models are nevertheless described in the literature; for example, Eker, Camci, andJennions (2016), Abdolghader, Brochot, Haghighat, andBahloul (2018), Chikhi, Clavier, Laurent, Fichot, and Quintard (2016), Thomas, Penicot, Contal, Leclerc, and Vendel (2001), Bergman, et al (1978), andNovick, et al (1990).…”

Section: Physical Modeling Of the Degradation Processmentioning

confidence: 99%

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

Fabian

Hagmeyer

Zeiler

2021

IJPHM

View full text Add to dashboard Cite

For a successful realization of prognostics and health management (PHM), the availability of sufficient run-to-failure data sets is a crucial factor. The sheer number of given data points holds less importance than the full coverage of the potential state space. However, full coverage is a major challenge in most industrial applications. Among other things, high investment and operating costs as well as the long service life of many technical systems make it difficult to acquire complete run-to-failure data sets. Consequently, in industrial applications data sets with specific deficiencies are frequently encountered. The development of appropriate methods to address such data scenarios is a fundamental research issue. Therefore, the purpose of this paper is to provide facilitation for this research. Accordingly, the paper starts by specifying the value and availability of data in PHM. Subsequently, criteria for characterizing data sets are defined independent of the actual PHM application. The criteria are used to identify typical data scenarios with specific deficiencies that possess significant relevance for industrial applications. Thereafter, the most comprehensive overview of data sets suitable for PHM and currently publicly accessible is provided. Thereby, not all previously identified data scenarios with their specific deficiencies are addressed by at least one data set. A program is established for the aforementioned facilitation of further research. One objective of the program is to create data sets reflecting these data scenarios using a test bench. First, possible applications and their degradation processes to be studied on the test bench are briefly characterized. Thereby, the final decision to select filtration as a test bench application is argued. Subsequently, the test bench created is introduced, including a description of the functional concept, pneumatic layout and components involved, as well as the filter media and test dusts employed. Typical run-to-failure trajectories are illustrated. Thereafter, the data set published under the name Preventive to Predictive Maintenance is presented. Additionally, a schedule for future releases of data sets on further industry-relevant data scenarios is sketched.

show abstract

“…Many researchers from different countries had mainly focused on improving filtration efficiency, [12][13][14] in decreasing the costs of filter materials, 15 application sites, 16,17 and in developing new materials. [18][19][20][21][22][23] Results of some researches had been obtained.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the structure and properties of modified nonwoven filter fibers by impregnation with carbon black

Zhang

Fan

Wang

et al. 2020

Journal of Engineered Fibers and Fabrics

View full text Add to dashboard Cite

With the increasingly serious air pollution, it is urgent to build a good indoor environment. How to improve performance of filter fiber materials has become the mainstream approach. In this article, the structure and filtration performances of nonwoven filter fibers before and after impregnation with carbon black were tested and analyzed. The results showed that a carbon black coating layer was wrapped on the surfaces of the changed nonwoven fabric filter fibers. The porosity of fibers decreased from 97.81% to 95.35%. The filtration efficiency of PM1.0, PM2.5, and PM10 increased by 16.8%, 28.0%, and 11.7%, respectively, at the best filtration velocity of 0.8 m/s. The filtration efficiency of PM2.5 had the most significant improvement. But the resistance increased by 1.18 times at the same time. The matching between filtration efficiency and resistance should be considered in using. This study provides reference value for the synthesis and application of new filter materials.

show abstract

Airborne nanoparticles filtration performance of fibrous media: A review

Cited by 21 publications

References 104 publications

Advanced Research and Development of Face Masks and Respirators Pre and Post the Coronavirus Disease 2019 (COVID-19) Pandemic: A Critical Review

Advanced Research and Development of Face Masks and Respirators Pre and Post the Coronavirus Disease 2019 (COVID-19) Pandemic: A Critical Review

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

Experimental study on the structure and properties of modified nonwoven filter fibers by impregnation with carbon black

Contact Info

Product

Resources

About