[{"title":"Large eddy simulation of iron oxide formation in a laboratory spray flame","doi":"https://doi.org/10.1016/j.jaecs.2023.100191","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666352X23000808"}],"date_updated":"2024-02-05T12:38:43Z","publisher":"Elsevier","date_created":"2024-02-05T12:17:35Z","year":"2023","citation":{"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, &#38; H.-J. Schmid (Eds.), <i>Applications in Energy and Combustion Science</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jaecs.2023.100191\">https://doi.org/10.1016/j.jaecs.2023.100191</a>","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.","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={<a href=\"https://doi.org/10.1016/j.jaecs.2023.100191\">https://doi.org/10.1016/j.jaecs.2023.100191</a>}, journal={Applications in Energy and Combustion Science}, publisher={Elsevier}, year={2023} }","mla":"Fröde, Fabian, et al., editors. “Large Eddy Simulation of Iron Oxide Formation in a Laboratory Spray Flame.” <i>Applications in Energy and Combustion Science</i>, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100191\">https://doi.org/10.1016/j.jaecs.2023.100191</a>.","chicago":"Fröde, Fabian , Temistocle  Grenga, Heinz  Pitsch, Sophie Dupont, Reinhold Kneer, Ricardo Tischendorf, Orlando Massopo, and Hans-Joachim Schmid, eds. <i>Large Eddy Simulation of Iron Oxide Formation in a Laboratory Spray Flame</i>. <i>Applications in Energy and Combustion Science</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.jaecs.2023.100191\">https://doi.org/10.1016/j.jaecs.2023.100191</a>.","ieee":"F. Fröde <i>et al.</i>, Eds., <i>Large eddy simulation of iron oxide formation in a laboratory spray flame</i>. Elsevier, 2023.","ama":"Fröde F, Grenga T, Pitsch H, et al., eds. <i>Large Eddy Simulation of Iron Oxide Formation in a Laboratory Spray Flame</i>. Elsevier; 2023. doi:<a href=\"https://doi.org/10.1016/j.jaecs.2023.100191\">https://doi.org/10.1016/j.jaecs.2023.100191</a>"},"has_accepted_license":"1","publication_status":"published","keyword":["Flame spray pyrolysis","Iron oxide formation","Large eddy simulation","Method of moments","SpraySyn"],"language":[{"iso":"eng"}],"_id":"51136","department":[{"_id":"150"}],"user_id":"98419","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."}],"editor":[{"first_name":"Fabian ","last_name":"Fröde","full_name":"Fröde, Fabian "},{"full_name":"Grenga, Temistocle ","last_name":"Grenga","first_name":"Temistocle "},{"last_name":"Pitsch","full_name":"Pitsch, Heinz ","first_name":"Heinz "},{"first_name":"Sophie","full_name":"Dupont, Sophie","last_name":"Dupont"},{"full_name":"Kneer, Reinhold","last_name":"Kneer","first_name":"Reinhold"},{"id":"67002","full_name":"Tischendorf, Ricardo","last_name":"Tischendorf","first_name":"Ricardo"},{"last_name":"Massopo","full_name":"Massopo, Orlando","id":"98419","first_name":"Orlando"},{"orcid":"000-0001-8590-1921","last_name":"Schmid","id":"464","full_name":"Schmid, Hans-Joachim","first_name":"Hans-Joachim"}],"status":"public","publication":"Applications in Energy and Combustion Science","type":"journal_editor"},{"department":[{"_id":"59"},{"_id":"61"},{"_id":"485"}],"user_id":"158","_id":"33509","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"status":"public","type":"conference","conference":{"end_date":"2022-04-28","location":"Grenoble, France","name":"2022 Smart Systems Integration (SSI)","start_date":"2022-04-27"},"doi":"10.1109/ssi56489.2022.9901431","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901431"}],"author":[{"full_name":"Marschalt, Christoph","last_name":"Marschalt","first_name":"Christoph"},{"first_name":"Dominik","last_name":"Schroder","full_name":"Schroder, Dominik"},{"first_name":"Sven","orcid":"0009-0007-9150-2266 ","last_name":"Lange","full_name":"Lange, Sven","id":"38240"},{"first_name":"Ulrich","full_name":"Hilleringmann, Ulrich","id":"20179","last_name":"Hilleringmann"},{"full_name":"Hedayat, Christian","last_name":"Hedayat","first_name":"Christian"},{"first_name":"Harald","last_name":"Kuhn","full_name":"Kuhn, Harald"},{"first_name":"Denis","last_name":"Sievers","full_name":"Sievers, Denis"},{"first_name":"Jens","last_name":"Förstner","orcid":"0000-0001-7059-9862","full_name":"Förstner, Jens","id":"158"}],"date_updated":"2024-11-30T19:32:14Z","citation":{"ama":"Marschalt C, Schroder D, Lange S, et al. Far-field Calculation from magnetic Huygens Box Data using the Boundary Element Method. In: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">10.1109/ssi56489.2022.9901431</a>","ieee":"C. Marschalt <i>et al.</i>, “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: <a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">10.1109/ssi56489.2022.9901431</a>.","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 <i>2022 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2022. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">https://doi.org/10.1109/ssi56489.2022.9901431</a>.","apa":"Marschalt, C., Schroder, D., Lange, S., Hilleringmann, U., Hedayat, C., Kuhn, H., Sievers, D., &#38; Förstner, J. (2022). Far-field Calculation from magnetic Huygens Box Data using the Boundary Element Method. <i>2022 Smart Systems Integration (SSI)</i>. 2022 Smart Systems Integration (SSI), Grenoble, France. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">https://doi.org/10.1109/ssi56489.2022.9901431</a>","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.","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={<a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">10.1109/ssi56489.2022.9901431</a>}, 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} }","mla":"Marschalt, Christoph, et al. “Far-Field Calculation from Magnetic Huygens Box Data Using the Boundary Element Method.” <i>2022 Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901431\">10.1109/ssi56489.2022.9901431</a>."},"place":"Grenoble, France","publication_identifier":{"eisbn":["978-1-6654-8849-5"]},"publication_status":"published","language":[{"iso":"eng"}],"keyword":["Near-Field Scanning","Huygens Box","Boundary Element Method","Method of Moments","tet_topic_hf","tet_enas"],"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."}],"publication":"2022 Smart Systems Integration (SSI)","title":"Far-field Calculation from magnetic Huygens Box Data using the Boundary Element Method","date_created":"2022-10-04T11:31:43Z","publisher":"IEEE","year":"2022"}]