Aerodynamischer Areosol Classifier AAC
Der AAC klassifiziert monodisperse Nanopartikel nur anhand des aerodynamischen Durchmessers, unabhängig von der Ladungsstufe der Partikel. Daher ist keine Ergebniskorrekturen von Artefakten durch Mehrfachladung oder Ladungseffizienz notwendig. Im Gegensatz zu den festen Größenabschnitten eines Impaktors ermittelt der AAC den aerodynamischen Durchmessers stufenlos. Es wird keine radioaktive Quelle benötigt. Somit entfallen die üblichen Zulassungsbeschränkungen für den Arbeitsplatz.
Allgemeines
Funktionsschema
Veröffentlichungen
Title
Author
Links to Journal
Date
A New Methodology for Continuous Scanning of Particle Aerodynamic Diameter and Application to Filtration Performance Assessment of a Room Air Purifier
Simon Payne Cambustion Ltd T.J. Johnson University of Cambridge, University of Alberta Jon Symonds Cambustion Ltd
FILTECH Conference 2019
22-Oct-2019
A new method to minimise charge uncertainty in condensation particle counter calibration when using a Faraday-cup aerosol electrometer
J Symonds Cambustion Ltd
Aerosol Technology Conference, Bilbao 2018
01-Jun-2018
Tandem Configurations of Different Aerosol Classifiers with the Aerodynamic Aerosol Classifier (AAC)
Martin Irwin Cambustion Ltd T.J. Johnson University of Cambridge, University of Alberta R.T. Nishida University of Cambridge J.P.R. Symonds Cambustion Ltd J.S. Olfert University of Alberta A.M. Boies University of Cambridge
ETH Combustion Generated Nanoparticles Conference 2018
01-Jun-2018
A New Methodology for Measuring Filtration Efficiency as a Function of Particle Aerodynamic Diameter Using a Monodisperse Aerosol Source
Simon Payne Cambustion Ltd Martin Irwin Cambustion Ltd T.J. Johnson University of Cambridge, University of Alberta Jon Symonds Cambustion Ltd
FILTECH Conference 2018
13-Mar-2018
Use of the Aerodynamic Aerosol Classifier (AAC) for evaluation of aerosol microphysical and optical properties.
J.D. Allan University of Manchester D. Liu University of Manchester M.R. Alfarra University of Manchester P.I. Williams University of Manchester
http://www.gaef.de/EAC2017/EAC2017abstracts/T302/T302N56d.pdf
01-Aug-2017
Size Classification Without Charging – Characterization Of The New Aerodynamic Aerosol Classifier
Jonathan Symonds Cambustion Tyler Johnson University of Cambridge Martin Irwin Cambustion Adam Boies University of Cambridge Jason Olfert University of Alberta
Asian Aerosol Conference 2017
01-Jul-2017
Theory and Experimental Validation of the Steady-State AAC Data Inversion
T.J. Johnson University of Cambridge, University of Alberta M. Irwin Cambustion Ltd J.P.R Symonds Cambustion Ltd J.S. Olfert University of Alberta A.M. Boies University of Cambridge
Cambridge Particle Meeting 2017
01-Jun-2017
Determination of particle mass, effective density, mass–mobility exponent, and dynamic shape factor using an aerodynamic aerosol classifier and a differential mobility analyzer in tandem
Farzan Tavakoli University of Alberta Jason Olfert University of Alberta
Journal of Aerosol Science Volume 75, September 2014, Pages 35–42
01-Sep-2014
Generation of a Monodisperse Size-Classified Aerosol Independent of Particle Charge
Farzan Tavakoli University of Alberta Jonathan Symonds Cambustion Ltd Jason Olfert University of Alberta
Aerosol Science and Technology Volume 48, Issue 3, 2014
01-Jan-2014
An instrument for the classification of aerosols by particle relaxation time: Theoretical models of the Aerodynamic Aerosol Classifier
F. Tavakoli University of Alberta J.S. Olfert University of Alberta
Aerosol Science and Technology Volume 47, Issue 8, 2013
01-May-2013