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Articles

Filtration efficiency analysis of fibrous filters: Experimental and theoretical study on the sampling of agglomerate particles emitted from a GDI engine

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Pages 1082-1092 | Received 01 Feb 2017, Accepted 10 May 2017, Published online: 31 May 2017
 

ABSTRACT

Fibrous filters are commonly used for aerosol purification and sampling. The filtration efficiency has been extensively studied using standard aerosol generators, yet the literature on experimental data and theoretical study concerning the filtration of agglomerates from real engines remains scarce. A filtration efficiency test system was developed to determine the filtration efficiency of two types of filters (uncoated and fluorocarbon coated) loaded by particulate matter (PM) emissions from a gasoline direct injection (GDI) engine. The experimental results showed that the filtration efficiency in terms of PM mass and number increased over time for both types of filters. The fractional efficiency (penetration efficiency) curves for the test fibrous filters rendered a U-shaped curve for particle sizes from 70 to 500 nm, and the most penetrating particulate size (MPPS) decreased over time. A small fraction of accumulation mode particles with the size between 70 nm to 500 nm penetrated the filters while almost all nucleation mode particles with the size below 50 nm were captured by the filters. The filtration efficiency derived from an empirical model based on classical single-fiber theory for laden filters generally agreed with the experimental data for the first 500 s, but suffered a significant deviation by approximately one order of magnitude at 948 s. A better estimate of the filtration efficiency trend with the maximum deviation of about 20% (except for large particles at the high end of the measurement spectra) was obtained by using a revised model which incorporates the effects of the increase in filter solidity, local velocity, dynamic shape factor and effective total length of fibers during the filtration process.

© 2017 American Association for Aerosol Research

EDITOR:

Nomenclature

AFR=

air fuel ratio

ATDC=

after top dead center

BTDC=

before top dead center

CA=

crank angle

CPMA=

centrifugal particle mass analyzer

DPF=

diesel particulate filter

DR=

dilution ratio

EVC=

exhaust valve close

EVO=

exhaust valve open

GDI=

gasoline direct injection

IVC=

intake valve close

IVO=

intake valve open

MFM1=

the “dilution” air mass flow rate

MFR=

mass flow rate

MPPS=

most penetrating particulate size

PCM=

particle counting methods

PAH=

polycyclic aromatic hydrocarbon

PM=

particulate matter

SF=

single fiber

VOCs=

volatile organic compounds

TWC=

three way catalyst

T=

the thickness of filters (µm)

Cc=

the Cunningham slip correction factor

Cc, dm=

the Cunningham slip correction factor based on mass equivalent particle diameter

Cc, dp=

the Cunningham slip correction factor based on mobility diameter

cm=

the accumulated mass per filter volume (kg/m3)

c(m)=

the mass concentration of particles of emissions

ED=

Brownian diffusion efficiency (%)

ER=

interception efficiency (%)

EI=

inertial impaction efficiency (%)

EDR=

interception of the diffusing particles (%)

E1=

total single-fiber efficiency for single-fiber (%)

E1(m)=

total single fiber efficiency with soot loading (%)

E=

the total filtration efficiency of a filter (%)

E(m)=

the total filtration efficiency of a filter with soot loading in the revised model (%)

m=

the particle mass

P(m)=

the overall penetration efficiency of a whole filter for particle laden filters (%)

Df=

fractal dimensions[−]

χ=

dynamic shape factor [−]

fd=

friction factor of mass equivalent sphere for the agglomerate [−]

fd*=

friction factor of the agglomerate [−]

Pe=

Peclet number

R=

interception parameter

Stk=

Stokes number

α=

solidity (%)

α0=

the solidity of the bare fiber (%)

α(m)=

the effective solidity of filter with soot loading (%)

U=

face velocity of the bare fiber (cm/s)

U0(m)=

the effective local velocity of filter with soot loading (cm/s)

l(m)=

the total effective length of fiber in a unit volume of the particles laden filters (1/m2)

L(m)=

the total effective length of the fibers of a filter (m)

mtotal=

total accumulated particle mass

D=

the revised diffusion coefficient of agglomerates

λ0=

collection efficiency raising factor

ρe=

the effective density of particles

θ=

the mean free path of the gas molecules

dm=

the mass equivalent particle diameter

df=

the effective fiber mean diameter

dp=

electrical mobility diameter

η=

the gas viscosity

=

the relaxation time

Acknowledgments

The authors would also like to express gratitude to Mr. Jianhua Xiao, a senior engineer in the State Key Laboratory of Automotive Safety and Energy, for his great support in the test bench setup.

Funding

This study was funded by the National Natural Science Foundation of China (Grant No. 91641119 and Grant No. 51306011). Financial support from the Shenzhen Science and Technology Innovation Committee (No. JCYJ20160318094727251) is also acknowledged.

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