Design Principles for Sensing Particle Number Concentration and Mean Particle Size with Unipolar Diffusion Charging

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.

Original languageEnglish
Article number8529217
Pages (from-to)1392-1399
Number of pages8
JournalIEEE sensors journal
Volume19
Issue number4
DOIs
Publication statusPublished - 2019

Fingerprint

charging
Particle size
Aerosols
Electrostatics
configurations
Health
Calibration
Sensors
health
aerosols
electrostatics
sensors
predictions

Keywords

  • Aerosol instrumentation
  • Automotive exhaust
  • Diffusion charging
  • Particle charging
  • Particle number concentration
  • Real driving emissions
  • particle number concentration
  • diffusion charging
  • real driving emissions
  • particle charging
  • automotive exhaust

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Design Principles for Sensing Particle Number Concentration and Mean Particle Size with Unipolar Diffusion Charging. / Schriefl, Mario Anton; Bergmann, Alexander; Fierz, Martin.

In: IEEE sensors journal, Vol. 19, No. 4, 8529217, 2019, p. 1392-1399.

Research output: Contribution to journalArticleResearchpeer-review

@article{5ac392fa69de4a06b7f83e6ff7083360,
title = "Design Principles for Sensing Particle Number Concentration and Mean Particle Size with Unipolar Diffusion Charging",
abstract = "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.",
keywords = "Aerosol instrumentation, Automotive exhaust, Diffusion charging, Particle charging, Particle number concentration, Real driving emissions, particle number concentration, diffusion charging, real driving emissions, particle charging, automotive exhaust",
author = "Schriefl, {Mario Anton} and Alexander Bergmann and Martin Fierz",
year = "2019",
doi = "10.1109/JSEN.2018.2880278",
language = "English",
volume = "19",
pages = "1392--1399",
journal = "IEEE sensors journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

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

VL - 19

SP - 1392

EP - 1399

JO - IEEE sensors journal

JF - IEEE sensors journal

SN - 1530-437X

IS - 4

M1 - 8529217

ER -