High-accuracy Nanoparticle Sensor for Combustion Engine Exhaust Gases

M. Kraft*, J. Kaczynski, T. Reinisch, M. Unger, A. Bergmann

*Corresponding author for this work

    Research output: Contribution to journalArticle

    Abstract

    Nanoparticles are one indispensable analyte in the characterisation of any combustion engine or exhaust aftertreatment system. To improve the presently prevalently used condensation nucleus magnification-based particle counters (CNC) in performance and footprint, a dedicated, comprehensive all-in-one CFD model was developed. Following experimental validation, the model was successfully used to simulate and better comprehend the internal functionings of the present standard system, identify critical design parameters and develop a new, improved sensor system design. The ensuing improved CNC nanoparticle sensor is now based on a vertical, annular design. Besides being highly compact, the new layout yields an almost perfectly homogenous (super-)saturation of the aerosol stream and superior temperature control of all relevant components. This gives the new design a uniquely high discriminatory power by nanoparticle diameter, a precise controllability of the effective particle detection cut-on size and a significant reduction in the effective particle losses in the sensor.

    Original languageEnglish
    Pages (from-to)35-38
    Number of pages4
    JournalProcedia Engineering
    Volume168
    DOIs
    Publication statusPublished - 2016

    Keywords

    • automotive exhaust analysis
    • condensation nucleus counter
    • nanoparticle sensor
    • system design
    • system simulation

    ASJC Scopus subject areas

    • Engineering(all)

    Fingerprint Dive into the research topics of 'High-accuracy Nanoparticle Sensor for Combustion Engine Exhaust Gases'. Together they form a unique fingerprint.

    Cite this