TY - JOUR
T1 - Design Principles for Sensing Particle Number Concentration and Mean Particle Size with Unipolar Diffusion Charging
AU - Schriefl, Mario Anton
AU - Bergmann, Alexander
AU - Fierz, Martin
PY - 2019
Y1 - 2019
N2 - Diffusion charging followed by particle capture and measurement is a promising method for determining particle number concentration of automotive exhaust. In addition, the method allows for the determination of a mean particle size, which is of high relevance with respect to health impacts. We investigate three different measurement configurations based on unipolar diffusion charging and electrostatic particle capture, using an analytical non-dimensional model, as well as a transient, multi-physical 3D model. The comprehensive modeling techniques enable prediction of the transient electrical current signals induced by the motion of charged aerosols. Comparison of the multi-physical modeling approach to analytical calculations and experimental data demonstrate model validation. The understanding gained from the modeling techniques enables a study of sensor design and calibration. Particle number concentration sensing is demonstrated for both a modulated precipitation configuration and a two-stage measurement configuration. With the latter, additional information on the mean particle size is extracted.
AB - Diffusion charging followed by particle capture and measurement is a promising method for determining particle number concentration of automotive exhaust. In addition, the method allows for the determination of a mean particle size, which is of high relevance with respect to health impacts. We investigate three different measurement configurations based on unipolar diffusion charging and electrostatic particle capture, using an analytical non-dimensional model, as well as a transient, multi-physical 3D model. The comprehensive modeling techniques enable prediction of the transient electrical current signals induced by the motion of charged aerosols. Comparison of the multi-physical modeling approach to analytical calculations and experimental data demonstrate model validation. The understanding gained from the modeling techniques enables a study of sensor design and calibration. Particle number concentration sensing is demonstrated for both a modulated precipitation configuration and a two-stage measurement configuration. With the latter, additional information on the mean particle size is extracted.
KW - Aerosol instrumentation
KW - Automotive exhaust
KW - Diffusion charging
KW - Particle charging
KW - Particle number concentration
KW - Real driving emissions
KW - particle number concentration
KW - diffusion charging
KW - real driving emissions
KW - particle charging
KW - automotive exhaust
UR - http://www.scopus.com/inward/record.url?scp=85056347397&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2018.2880278
DO - 10.1109/JSEN.2018.2880278
M3 - Article
SN - 1558-1748
VL - 19
SP - 1392
EP - 1399
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 4
M1 - 8529217
ER -