Table · dataset · 2026
An improved method for measuring the penetration efficiency of low cutoff cyclones
Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.6084/m9.figshare.33960013.v1
<p>Cyclone separators are a critical component of many aerosol sampling systems and it is essential that cyclone penetration efficiency be characterized in terms of cutoff diameter and sharpness for accurate measurements.
Description
Existing cyclone characterization methods rely on a monodisperse test aerosol using polystyrene latex (PSL) spheres, which are costly, or on Aerodynamic Particle Sizer (APS) measurements that can be susceptible to artifacts when high concentrations of small particles are present.
In this study, a new cyclone penetration efficiency measurement method which utilizes an Aerodynamic Aerosol Classifier (AAC) and a condensation particle counter (CPC) using polydisperse test aerosols is evaluated. The polydisperse AAC-CPC method is assessed alongside the traditional use of PSL spheres and the APS method using different polydisperse test aerosols. The polydisperse aerosols used were dioctyl sebacate, fluorescent microspheres, and soot.
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In contrast to the polydisperse APS method, the polydisperse AAC-CPC approach does not exhibit artificial concentrations at large aerodynamic diameters and enables reliable characterization of cyclone penetration efficiency with different test aerosols, most importantly when soot is used as the test aerosol. Since the AAC-CPC has lower counting statistics than the APS, longer or repeated experiments are needed to reduce errors.
The capability of the polydisperse AAC-CPC method is essential for aviation emissions sampling, where soot particles dominate and the cutoff of the cyclone is relatively small (1 micron). For other applications, modifications can be made to measure cyclones with cutoff diameters less than ∼5 µm.</p> <p>Copyright © 2026 American Association for Aerosol Research</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33960013.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
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Provenance · 2 source records, 35 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33960013 | 12 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/33960013 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:group:3101 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3107 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3107 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:4410 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
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| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
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| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |