---
_id: '51136'
abstract:
- lang: eng
text: "Iron oxide nanoparticles are very interesting for many applications in different
industrial sectors. A promising\r\nprocess to manufacture these nanoparticles
is flame spray pyrolysis (FSP). A lack of understanding of the\r\nindividual sub-processes
in FSP makes it challenging to tailor nanoparticle properties. This work provides\r\ninsights
into the formation of iron oxide nanoparticles in a turbulent spray flame using
Large Eddy Simulations\r\n(LES), which are based on a comprehensive model, including
customized submodels. Highlights are the\r\nadaption of a turbulent combustion
model and a bivariate hybrid method of moments for modeling nanoparticle\r\ndynamics.
The work focuses on the SpraySyn burner, which is a standardized laboratory burner
and was\r\noperated with a precursor-solvent mixture of ethanol and iron(III)
nitrate nonahydrate. For studying the\r\nrelevance of precursor chemistry, LES
using an evaporation-limited precursor chemistry model is compared\r\nwith a model
that includes detailed iron chemistry. A further novelty is the inclusion of adsorption
in the\r\nsimulation, which defines a third model for comparison. Sufficient validation
is achieved for the undoped LES\r\nusing experimental data from the literature.
A strong impact of the detailed iron chemistry and adsorption\r\nis found on the
precursor consumption and the aggregate and primary particle formation. Comparing
the\r\nparticle diameters with experimental measurements from the literature and
data generated for this work is\r\nfound unsuitable to asses the precursor chemistry
model and revealed an urgent need for future experimental\r\nand numerical research.
This work serves as a step forward in realizing a reliable model."
citation:
ama: Fröde F, Grenga T, Pitsch H, et al., eds. Large Eddy Simulation of Iron
Oxide Formation in a Laboratory Spray Flame. Elsevier; 2023. doi:https://doi.org/10.1016/j.jaecs.2023.100191
apa: Large eddy simulation of iron oxide formation in a laboratory spray flame.
(2023). In F. Fröde, T. Grenga, H. Pitsch, S. Dupont, R. Kneer, R. Tischendorf,
O. Massopo, & H.-J. Schmid (Eds.), Applications in Energy and Combustion
Science. Elsevier. https://doi.org/10.1016/j.jaecs.2023.100191
bibtex: '@book{Fröde_Grenga_Pitsch_Dupont_Kneer_Tischendorf_Massopo_Schmid_2023,
title={Large eddy simulation of iron oxide formation in a laboratory spray flame},
DOI={https://doi.org/10.1016/j.jaecs.2023.100191},
journal={Applications in Energy and Combustion Science}, publisher={Elsevier},
year={2023} }'
chicago: Fröde, Fabian , Temistocle Grenga, Heinz Pitsch, Sophie Dupont, Reinhold
Kneer, Ricardo Tischendorf, Orlando Massopo, and Hans-Joachim Schmid, eds. Large
Eddy Simulation of Iron Oxide Formation in a Laboratory Spray Flame. Applications
in Energy and Combustion Science. Elsevier, 2023. https://doi.org/10.1016/j.jaecs.2023.100191.
ieee: F. Fröde et al., Eds., Large eddy simulation of iron oxide formation
in a laboratory spray flame. Elsevier, 2023.
mla: Fröde, Fabian, et al., editors. “Large Eddy Simulation of Iron Oxide Formation
in a Laboratory Spray Flame.” Applications in Energy and Combustion Science,
Elsevier, 2023, doi:https://doi.org/10.1016/j.jaecs.2023.100191.
short: F. Fröde, T. Grenga, H. Pitsch, S. Dupont, R. Kneer, R. Tischendorf, O. Massopo,
H.-J. Schmid, eds., Large Eddy Simulation of Iron Oxide Formation in a Laboratory
Spray Flame, Elsevier, 2023.
date_created: 2024-02-05T12:17:35Z
date_updated: 2024-02-05T12:38:43Z
department:
- _id: '150'
doi: https://doi.org/10.1016/j.jaecs.2023.100191
editor:
- first_name: 'Fabian '
full_name: 'Fröde, Fabian '
last_name: Fröde
- first_name: 'Temistocle '
full_name: 'Grenga, Temistocle '
last_name: Grenga
- first_name: 'Heinz '
full_name: 'Pitsch, Heinz '
last_name: Pitsch
- first_name: Sophie
full_name: Dupont, Sophie
last_name: Dupont
- first_name: Reinhold
full_name: Kneer, Reinhold
last_name: Kneer
- first_name: Ricardo
full_name: Tischendorf, Ricardo
id: '67002'
last_name: Tischendorf
- first_name: Orlando
full_name: Massopo, Orlando
id: '98419'
last_name: Massopo
- first_name: Hans-Joachim
full_name: Schmid, Hans-Joachim
id: '464'
last_name: Schmid
orcid: 000-0001-8590-1921
has_accepted_license: '1'
keyword:
- Flame spray pyrolysis
- Iron oxide formation
- Large eddy simulation
- Method of moments
- SpraySyn
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
- url: https://www.sciencedirect.com/science/article/pii/S2666352X23000808
publication: Applications in Energy and Combustion Science
publication_status: published
publisher: Elsevier
status: public
title: Large eddy simulation of iron oxide formation in a laboratory spray flame
type: journal_editor
user_id: '98419'
year: '2023'
...
---
_id: '33509'
abstract:
- lang: eng
text: In this publication a novel method for far-field prediction from magnetic
Huygens box data based on the boundary element method (BEM) is presented. Two
examples are considered for the validation of this method. The first example represents
an electric dipole so that the obtained calculations can be compared to an analytical
solution. As a second example, a printed circuit board is considered and the calculated
far-field is compared to a fullwave simulation. In both cases, the calculations
for different field integral equations are under comparison, and the results indicate
that the presented method performs very well with a combined field integral equation,
for the specified problem, when only magnetic Huygens box data is given.
author:
- first_name: Christoph
full_name: Marschalt, Christoph
last_name: Marschalt
- first_name: Dominik
full_name: Schroder, Dominik
last_name: Schroder
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
orcid: '0009-0007-9150-2266 '
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
id: '20179'
last_name: Hilleringmann
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
- first_name: Harald
full_name: Kuhn, Harald
last_name: Kuhn
- first_name: Denis
full_name: Sievers, Denis
last_name: Sievers
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
citation:
ama: 'Marschalt C, Schroder D, Lange S, et al. Far-field Calculation from magnetic
Huygens Box Data using the Boundary Element Method. In: 2022 Smart Systems
Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901431'
apa: Marschalt, C., Schroder, D., Lange, S., Hilleringmann, U., Hedayat, C., Kuhn,
H., Sievers, D., & Förstner, J. (2022). Far-field Calculation from magnetic
Huygens Box Data using the Boundary Element Method. 2022 Smart Systems Integration
(SSI). 2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901431
bibtex: '@inproceedings{Marschalt_Schroder_Lange_Hilleringmann_Hedayat_Kuhn_Sievers_Förstner_2022,
place={Grenoble, France}, title={Far-field Calculation from magnetic Huygens Box
Data using the Boundary Element Method}, DOI={10.1109/ssi56489.2022.9901431},
booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Marschalt,
Christoph and Schroder, Dominik and Lange, Sven and Hilleringmann, Ulrich and
Hedayat, Christian and Kuhn, Harald and Sievers, Denis and Förstner, Jens}, year={2022}
}'
chicago: 'Marschalt, Christoph, Dominik Schroder, Sven Lange, Ulrich Hilleringmann,
Christian Hedayat, Harald Kuhn, Denis Sievers, and Jens Förstner. “Far-Field Calculation
from Magnetic Huygens Box Data Using the Boundary Element Method.” In 2022
Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901431.'
ieee: 'C. Marschalt et al., “Far-field Calculation from magnetic Huygens
Box Data using the Boundary Element Method,” presented at the 2022 Smart Systems
Integration (SSI), Grenoble, France, 2022, doi: 10.1109/ssi56489.2022.9901431.'
mla: Marschalt, Christoph, et al. “Far-Field Calculation from Magnetic Huygens Box
Data Using the Boundary Element Method.” 2022 Smart Systems Integration (SSI),
IEEE, 2022, doi:10.1109/ssi56489.2022.9901431.
short: 'C. Marschalt, D. Schroder, S. Lange, U. Hilleringmann, C. Hedayat, H. Kuhn,
D. Sievers, J. Förstner, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble,
France, 2022.'
conference:
end_date: 2022-04-28
location: Grenoble, France
name: 2022 Smart Systems Integration (SSI)
start_date: 2022-04-27
date_created: 2022-10-04T11:31:43Z
date_updated: 2024-11-30T19:32:14Z
department:
- _id: '59'
- _id: '61'
- _id: '485'
doi: 10.1109/ssi56489.2022.9901431
keyword:
- Near-Field Scanning
- Huygens Box
- Boundary Element Method
- Method of Moments
- tet_topic_hf
- tet_enas
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9901431
place: Grenoble, France
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 Smart Systems Integration (SSI)
publication_identifier:
eisbn:
- 978-1-6654-8849-5
publication_status: published
publisher: IEEE
status: public
title: Far-field Calculation from magnetic Huygens Box Data using the Boundary Element
Method
type: conference
user_id: '158'
year: '2022'
...