Analysis of Hydraulic Characteristics and Treatment Efficiency by Filter Media Composition During Backwashing of Filtration-Type Non-Point Pollution Facilities

In this study, the hydraulic characteristics and pollutant treatment efficiency during backwashing were analyzed through laboratory-scale hydraulic model experiments for filtration-type non-point pollution reduction facilities. The filter media used in the experiment were analyzed by calculating the change in head loss for single or complex arrangements of wood chips (WC), sand (SA), and bottom ash (BA). These are commonly used to improve the adsorption mechanism in non-point pollution reduction facilities, from which the pollutant treatment efficiency was derived. The SS treatment efficiency experiments for each filter media layer were conducted with SA+WC (WC 0.3 m in the upper layer, SA 0.3 m in the lower layer) and SA+BA (SA 0.3 m in the upper layer, BA 0.3 m in the lower layer), and the removal efficiency was greater than 80%, indicating good efficiency. In the case of SA+BA, analysis showed a high removal efficiency of 87.4% at a linear velocity of 20 m/hr.

Liquid-mediated particle capture by nonwoven filter media for automotive engine intake air filtration

This article reports on development, characterization, and performance of liquid-treated nonwoven air filter media for automotive engine intake application. A polypropylene fiber-based needle-punched nonwoven fabric was prepared for treatment with four viscous liquids (glycerol, SAE 20W/50 engine oil, PEG 400, and deionized water) by liquid spraying technique. The filtration performance was evaluated in terms of initial and final gravimetric filtration efficiencies, fractional filtration efficiency, evolution of pressure drop, and dust holding capacity. The liquid-treated filter media registered higher gravimetric as well as fractional filtration efficiency and higher dust holding capacity as compared to the untreated ones. The initial and final gravimetric filtration efficiencies were found to be directly related to liquid add-on via a power law relationship. The liquid-treated filter media also exhibited higher fractional filtration efficiency than their untreated counterparts for all sizes of tested particles. Interestingly, the increase of fractional efficiency was more for smaller particles as compared to larger ones. This was explained quantitatively through single fiber efficiency due to adhesion. The viscosity of liquid was found to be a very crucial parameter as the dust deposition morphology was contingent to the flow of liquid onto the filter media. The stickiest liquid yielded highest filtration efficiencies, displayed slowest rise of pressure drop, and exhibited highest dust holding capacity.

Digital Twin Geometry for Fibrous Air Filtration Media

Computational modeling of air filtration is possible by replicating nonwoven nanofibrous meltblown or electrospun filter media with digital representative geometry. This article presents a methodology to create and modify randomly generated fiber geometry intended as a digital twin replica of fibrous filtration media. Digital twin replicas of meltblown and electrospun filter media are created using Python scripting and Ansys SpaceClaim. The effect of fiber stiffness, represented by a fiber relaxation slope, is analyzed in relation to resulting filter solid volume fraction and thickness. Contemporary air filtration media may also be effectively modeled analytically and tested experimentally in order to yield valuable information on critical characteristics, such as overall resistance to airflow and particle capture efficiency. An application of the Single Fiber Efficiency model is incorporated in this work to illustrate the estimation of performance for the generated media with an analytical model. The resulting digital twin fibrous geometry compares well with SEM imagery of fibrous filter materials. This article concludes by suggesting adaptation of the methodology to replicate digital twins of other nonwoven fiber mesh applications for computational modeling, such as fiber reinforced additive manufacturing and composite materials.