Effects of chamber configuration on the nanoparticle output of spark discharge generators : A combined CFD, particle tracing, and experimental study
(2026) In Journal of Aerosol Science 195.- Abstract
Spark discharge generators (SDGs) are versatile tools for producing nanoparticles (NPs) with tailored properties. This study combines Computational Fluid Dynamics (CFD) and Particle Tracing (PT) simulations in COMSOL Multiphysics® with experimental data to investigate the effect of various chamber configurations, including inlet/outlet positioning and chamber volume on the NP output. Five geometries were tested, with results showing that shorter inlet-to-outlet distances increase the gas velocity at the electrode gap, reduce particle residence time, and lead to higher particle yields. The experimental results were consistent with the simulations after normalization to the product of spark energy and frequency, indicating only a minor... (More)
Spark discharge generators (SDGs) are versatile tools for producing nanoparticles (NPs) with tailored properties. This study combines Computational Fluid Dynamics (CFD) and Particle Tracing (PT) simulations in COMSOL Multiphysics® with experimental data to investigate the effect of various chamber configurations, including inlet/outlet positioning and chamber volume on the NP output. Five geometries were tested, with results showing that shorter inlet-to-outlet distances increase the gas velocity at the electrode gap, reduce particle residence time, and lead to higher particle yields. The experimental results were consistent with the simulations after normalization to the product of spark energy and frequency, indicating only a minor dependence of output concentration on chamber volume, given that the residence time does not exceed the sparking period. Our results highlight the effectiveness of combined CFD-PT simulations in predicting and optimizing SDG performance.
(Less)
- author
- Bermeo, M. LU ; Megyeri, D. ; Magnusson, M. H. LU ; Kohut, A. ; Geretovszky, Zs and Messing, M. E. LU
- organization
-
- LU Profile Area: Light and Materials
- LTH Profile Area: Nanoscience and Semiconductor Technology
- NanoLund: Centre for Nanoscience
- Solid State Physics
- National Resource Centre for Physics Education
- Engelsk rubrik
- Undergraduate Programme of Studies in Physics within Faculty of Science
- LTH Profile Area: Aerosols
- Department of Physics
- Lund Laser Centre, LLC
- LTH Profile Area: Photon Science and Technology
- Synchrotron Radiation Research
- publishing date
- 2026-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- CFD, COMSOL simulation, Nanoparticles, Particle tracing, Residence time, Spark ablation
- in
- Journal of Aerosol Science
- volume
- 195
- article number
- 106810
- publisher
- Elsevier
- external identifiers
-
- scopus:105036723677
- ISSN
- 0021-8502
- DOI
- 10.1016/j.jaerosci.2026.106810
- language
- English
- LU publication?
- yes
- id
- 4af5a8a5-9812-4df3-9fe7-6977ab85deff
- date added to LUP
- 2026-05-21 12:14:22
- date last changed
- 2026-05-21 12:15:17
@article{4af5a8a5-9812-4df3-9fe7-6977ab85deff,
abstract = {{<p>Spark discharge generators (SDGs) are versatile tools for producing nanoparticles (NPs) with tailored properties. This study combines Computational Fluid Dynamics (CFD) and Particle Tracing (PT) simulations in COMSOL Multiphysics® with experimental data to investigate the effect of various chamber configurations, including inlet/outlet positioning and chamber volume on the NP output. Five geometries were tested, with results showing that shorter inlet-to-outlet distances increase the gas velocity at the electrode gap, reduce particle residence time, and lead to higher particle yields. The experimental results were consistent with the simulations after normalization to the product of spark energy and frequency, indicating only a minor dependence of output concentration on chamber volume, given that the residence time does not exceed the sparking period. Our results highlight the effectiveness of combined CFD-PT simulations in predicting and optimizing SDG performance.</p>}},
author = {{Bermeo, M. and Megyeri, D. and Magnusson, M. H. and Kohut, A. and Geretovszky, Zs and Messing, M. E.}},
issn = {{0021-8502}},
keywords = {{CFD; COMSOL simulation; Nanoparticles; Particle tracing; Residence time; Spark ablation}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Journal of Aerosol Science}},
title = {{Effects of chamber configuration on the nanoparticle output of spark discharge generators : A combined CFD, particle tracing, and experimental study}},
url = {{http://dx.doi.org/10.1016/j.jaerosci.2026.106810}},
doi = {{10.1016/j.jaerosci.2026.106810}},
volume = {{195}},
year = {{2026}},
}