Establishment of air fiber filtration model based on fractal theory and analysis of filtration performances

Zhang, Xin; Ma, Jingyao; Nie, Xingxin; Fan, Yi; Wang, Huan; Cui, Yong

doi:10.1016/j.mtcomm.2022.105301

Cited by 11 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the number of cleanings increased, the small particles inside the fibers gradually reached the edge of the fiber and eventually washed out. However, this caused the size of the gaps between the fibers to increase, which reduced their interception effect and led to a gradual decrease in the filtration efficiency [35].…”

Section: The Change In Filtration Efficiency With Filtration Velocity...mentioning

confidence: 99%

“…Some particles entered the fibers' interiors due to the uneven distribution of the water washing action points, which caused them to adhere to the fiber structures instead of being cleaned off. This reduced the porosity between the fibers and made the fiber structure denser [35]. However, the small particles were affected by Brownian motion and diffused in the fibers.…”

Section: The Change In Filtration Efficiency With Filtration Velocity...mentioning

confidence: 99%

See 1 more Smart Citation

Experimental Study of the Factors Influencing the Regeneration Performance of Reduced Graphite Oxide Filter Materials under Water Cleaning

Yang

Zhang

et al. 2023

Materials

Self Cite

View full text Add to dashboard Cite

With the normalization of epidemic prevention and control, air filters are being used and replaced more frequently. How to efficiently utilize air filter materials and determining whether they have regenerative properties have become current research hotspots. This paper discusses the regeneration performance of reduced graphite oxide filter materials, which were studied in depth using water cleaning and the relevant parameters, including the cleaning times. The results showed that water cleaning was most effective using a 20 L/(s·m2) water flow velocity with a 17 s cleaning time. The filtration efficiency decreased as the number of cleanings increased. Compared to the blank group, the filter material’s PM10 filtration efficiency decreased by 0.8%, 19.4%, 26.5%, and 32.4% after the first to fourth cleanings, respectively. The filter material’s PM2.5 filtration efficiency increased by 12.5% after the first cleaning, and decreased by 12.9%, 17.6%, and 30.2% after the second to fourth cleanings, respectively. The filter material’s PM1.0 filtration efficiency increased by 22.7% after the first cleaning, and decreased by 8.1%, 13.8%, and 24.5% after the second to fourth cleanings, respectively. Water cleaning mainly affected the filtration efficiency of particulates sized 0.3–2.5 μm. Reduced graphite oxide air filter materials could be water washed twice and maintain cleanliness equal to 90% of the original filter material. Water washing more than twice could not achieve the standard cleanliness equal to 85% of the original filter material. These data provide useful reference values for the evaluation of the filter materials’ regeneration performance.

show abstract

Section: The Change In Filtration Efficiency With Filtration Velocity...mentioning

confidence: 99%

Section: The Change In Filtration Efficiency With Filtration Velocity...mentioning

confidence: 99%

Experimental Study of the Factors Influencing the Regeneration Performance of Reduced Graphite Oxide Filter Materials under Water Cleaning

Yang

Zhang

et al. 2023

Materials

Self Cite

View full text Add to dashboard Cite

show abstract

“…This paper presents a relatively large range of fractal dimension values for atmospheric particles in Xi'an. On the one hand, it indicates that the morphology of atmospheric particles in Xi'an during the testing period is relatively irregular and rough [50]. From Figures 2 and 4, it can be confirmed that the distribution of particles with different particle sizes is uneven, and there are also differences in the fractal dimensions corresponding to these particles.…”

Section: Distribution Of Fractal Dimension Of Particles At Different ...mentioning

confidence: 82%

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Liu,

Yu,

Leng

et al. 2023

Fractal Fract

Self Cite

View full text Add to dashboard Cite

It is of great significance to understand the particle distribution characteristics at different heights to effectively control particle pollution. Based on fractal theory, the fractal dimension of outdoor particles in a high-rise building in Xi’an and its relationship with the concentration of particles with different particle sizes are discussed and analyzed in this paper. The results indicate that the atmosphere in Xi’an is mainly composed of fine particles and that the average proportion of particles ranging from 0 to 1.0 µm is approximately 99.885% of the total particulates. The fractal dimension of particles in the atmosphere at different heights ranges from 5.014 to 5.764, with an average fractal dimension of 5.456. In summer, the fractal dimension of the outdoor particles on the 17th floor was the largest, at 5.764. The fractal dimension in summer is relatively high, being 0.158 higher than that in winter on average. The larger the fractal dimension, the higher the proportion of fine particles. In addition, the fractal dimension can characterize the adsorption of toxic and harmful gases by particles well. It provides parameter support for understanding particle distribution and the effective control of atmospheric particles at different heights and application values.

show abstract

“…Fabric c’s filtration efficiency for PM 2.5 was 20.22% higher than that of fabric b. Fabric c’s filtration efficiency for PM 1.0 was 18.50% higher than that of fabric b. Brownian motion affects small particles [ 36 ]. The improved fabric c had relatively small porosity.…”

Section: Resultsmentioning

confidence: 99%

Comparative Filtration Performance of Composite Air Filter Materials Synthesized Using Different Impregnated Porous Media

et al. 2023

Self Cite

View full text Add to dashboard Cite

Indoor environment quality is currently a hot research topic. In this study, composite air filter materials were synthesized using different impregnated porous medium materials, and their filtration performance and structural parameters were analyzed. The results showed that composite filter materials’ structures changed at the fibers’ surfaces when synthesized using different porous medium material layers. The filtration efficiency of composite filter materials synthesized using different porous media reached a maximum 0.8 m/s filtration velocity, and PM10, PM2.5, and PM1.0 increased by 1.67~26.07, 1.19~26.96, and 1.10~21.98%, respectively. The filtration efficiencies of reduced graphene oxide composite for PM10, PM2.5, and PM1.0 were 21.26, 20.22, and 18.50% higher, respectively, than those of carbon black composite. In addition, the filtration efficiency of the composite material synthesized by reducing graphene oxide improved for 0 to 1.0 μm particulates and was more effective by comparison. Filtration efficiency and resistance were comprehensively considered during air filter use to provide useful values for the selection and preparation of composite filter materials in the future.

show abstract

Establishment of air fiber filtration model based on fractal theory and analysis of filtration performances

Cited by 11 publications

References 25 publications

Experimental Study of the Factors Influencing the Regeneration Performance of Reduced Graphite Oxide Filter Materials under Water Cleaning

Experimental Study of the Factors Influencing the Regeneration Performance of Reduced Graphite Oxide Filter Materials under Water Cleaning

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Comparative Filtration Performance of Composite Air Filter Materials Synthesized Using Different Impregnated Porous Media

Contact Info

Product

Resources

About