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Modeling simulation of nitric oxide and ozone generated by the Compact Air Plasma Jet: Nightingale
This study aimed to model and investigate the distribution characteristics of NO and O 3 produced by a Compact Air Plasma Jet device using 0D and 2D fluid models. The 0D global model was employed to calculate densities in the plasma volume before constructing the 2D model for the distribution of den...
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Published in: | Journal of physics. Conference series 2023-12, Vol.2653 (1), p.12067 |
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creator | Palee, Nattawut Thana, Phuthidhorn Wijaikham, Apiwat Pussadee, Nirut Boonyawan, Dheerawan |
description | This study aimed to model and investigate the distribution characteristics of NO and O
3
produced by a Compact Air Plasma Jet device using 0D and 2D fluid models. The 0D global model was employed to calculate densities in the plasma volume before constructing the 2D model for the distribution of densities via boundary conditions. As the feeding gas flow rate increased from 3 to 11 slm, the NO and O
3
densities predicted by the 0D model decreased from 10 ppm to 1 ppm and from approximately 12 ppm to 1 ppm. In comparison with the gas detector measurements, the NO densities exhibited the same values and trends with respect to the number of pulses and flow rate, but O
3
concentrations from the 0D model simulations were higher than those measured by the gas detector. With a 20 ms simulation time, NO concentrations decreased along the axial length, whereas O
3
concentrations increased. Additionally, O
3
concentrations from both models were higher than the measurements from the gas detector, which did not align with the experimental results. The incorporation of dominant humidity reaction sets improved the alignment between the modeling results and specific experimental observations. The model equipped with these additional humidity reaction sets can be effectively employed to predict the NO and O
3
density generated by the Compact Air Plasma Jet device. |
doi_str_mv | 10.1088/1742-6596/2653/1/012067 |
format | article |
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3
produced by a Compact Air Plasma Jet device using 0D and 2D fluid models. The 0D global model was employed to calculate densities in the plasma volume before constructing the 2D model for the distribution of densities via boundary conditions. As the feeding gas flow rate increased from 3 to 11 slm, the NO and O
3
densities predicted by the 0D model decreased from 10 ppm to 1 ppm and from approximately 12 ppm to 1 ppm. In comparison with the gas detector measurements, the NO densities exhibited the same values and trends with respect to the number of pulses and flow rate, but O
3
concentrations from the 0D model simulations were higher than those measured by the gas detector. With a 20 ms simulation time, NO concentrations decreased along the axial length, whereas O
3
concentrations increased. Additionally, O
3
concentrations from both models were higher than the measurements from the gas detector, which did not align with the experimental results. The incorporation of dominant humidity reaction sets improved the alignment between the modeling results and specific experimental observations. The model equipped with these additional humidity reaction sets can be effectively employed to predict the NO and O
3
density generated by the Compact Air Plasma Jet device.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/2653/1/012067</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Air plasma ; Boundary conditions ; Flow velocity ; Gas detectors ; Gas flow ; Humidity ; Modelling ; Nitric oxide ; Physics ; Plasma ; Plasma jets ; Simulation ; Two dimensional models</subject><ispartof>Journal of physics. Conference series, 2023-12, Vol.2653 (1), p.12067</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2747-5e441129899921bdb8b55e68450d9830c18803e669607ffeb3688a86543f68863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2906350109?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Palee, Nattawut</creatorcontrib><creatorcontrib>Thana, Phuthidhorn</creatorcontrib><creatorcontrib>Wijaikham, Apiwat</creatorcontrib><creatorcontrib>Pussadee, Nirut</creatorcontrib><creatorcontrib>Boonyawan, Dheerawan</creatorcontrib><title>Modeling simulation of nitric oxide and ozone generated by the Compact Air Plasma Jet: Nightingale</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>This study aimed to model and investigate the distribution characteristics of NO and O
3
produced by a Compact Air Plasma Jet device using 0D and 2D fluid models. The 0D global model was employed to calculate densities in the plasma volume before constructing the 2D model for the distribution of densities via boundary conditions. As the feeding gas flow rate increased from 3 to 11 slm, the NO and O
3
densities predicted by the 0D model decreased from 10 ppm to 1 ppm and from approximately 12 ppm to 1 ppm. In comparison with the gas detector measurements, the NO densities exhibited the same values and trends with respect to the number of pulses and flow rate, but O
3
concentrations from the 0D model simulations were higher than those measured by the gas detector. With a 20 ms simulation time, NO concentrations decreased along the axial length, whereas O
3
concentrations increased. Additionally, O
3
concentrations from both models were higher than the measurements from the gas detector, which did not align with the experimental results. The incorporation of dominant humidity reaction sets improved the alignment between the modeling results and specific experimental observations. The model equipped with these additional humidity reaction sets can be effectively employed to predict the NO and O
3
density generated by the Compact Air Plasma Jet device.</description><subject>Air plasma</subject><subject>Boundary conditions</subject><subject>Flow velocity</subject><subject>Gas detectors</subject><subject>Gas flow</subject><subject>Humidity</subject><subject>Modelling</subject><subject>Nitric oxide</subject><subject>Physics</subject><subject>Plasma</subject><subject>Plasma jets</subject><subject>Simulation</subject><subject>Two dimensional models</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkF9LwzAUxYMoOKefwYBvQm3SNGni2yj-G1MH6nNI23TLaJuaZuD89LZUJoLgfbkH7jnnwg-Ac4yuMOI8xEkcBYwKFkaMkhCHCEeIJQdgsr8c7jXnx-Ck6zYIkX6SCcgebaEr06xgZ-ptpbyxDbQlbIx3Jof2wxQaqqaA9tM2Gq50o53yuoDZDvq1hqmtW5V7ODMOLivV1QrOtb-GT2a19n2tqvQpOCpV1emz7z0Fb7c3r-l9sHi-e0hniyCPkjgJqI5jjCPBhRARzoqMZ5RqxmOKCsEJyjHniGjGBENJWeqMMM4VZzQmZa8YmYKLsbd19n2rOy83duua_qWMBGKEIoxE70pGV-5s1zldytaZWrmdxEgOQOWASg7Y5ABUYjkC7ZNkTBrb_lT_n7r8IzVfpi-_jbItSvIFUUODew</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Palee, Nattawut</creator><creator>Thana, Phuthidhorn</creator><creator>Wijaikham, Apiwat</creator><creator>Pussadee, Nirut</creator><creator>Boonyawan, Dheerawan</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20231201</creationdate><title>Modeling simulation of nitric oxide and ozone generated by the Compact Air Plasma Jet: Nightingale</title><author>Palee, Nattawut ; Thana, Phuthidhorn ; Wijaikham, Apiwat ; Pussadee, Nirut ; Boonyawan, Dheerawan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2747-5e441129899921bdb8b55e68450d9830c18803e669607ffeb3688a86543f68863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air plasma</topic><topic>Boundary conditions</topic><topic>Flow velocity</topic><topic>Gas detectors</topic><topic>Gas flow</topic><topic>Humidity</topic><topic>Modelling</topic><topic>Nitric oxide</topic><topic>Physics</topic><topic>Plasma</topic><topic>Plasma jets</topic><topic>Simulation</topic><topic>Two dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palee, Nattawut</creatorcontrib><creatorcontrib>Thana, Phuthidhorn</creatorcontrib><creatorcontrib>Wijaikham, Apiwat</creatorcontrib><creatorcontrib>Pussadee, Nirut</creatorcontrib><creatorcontrib>Boonyawan, Dheerawan</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palee, Nattawut</au><au>Thana, Phuthidhorn</au><au>Wijaikham, Apiwat</au><au>Pussadee, Nirut</au><au>Boonyawan, Dheerawan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling simulation of nitric oxide and ozone generated by the Compact Air Plasma Jet: Nightingale</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>2653</volume><issue>1</issue><spage>12067</spage><pages>12067-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>This study aimed to model and investigate the distribution characteristics of NO and O
3
produced by a Compact Air Plasma Jet device using 0D and 2D fluid models. The 0D global model was employed to calculate densities in the plasma volume before constructing the 2D model for the distribution of densities via boundary conditions. As the feeding gas flow rate increased from 3 to 11 slm, the NO and O
3
densities predicted by the 0D model decreased from 10 ppm to 1 ppm and from approximately 12 ppm to 1 ppm. In comparison with the gas detector measurements, the NO densities exhibited the same values and trends with respect to the number of pulses and flow rate, but O
3
concentrations from the 0D model simulations were higher than those measured by the gas detector. With a 20 ms simulation time, NO concentrations decreased along the axial length, whereas O
3
concentrations increased. Additionally, O
3
concentrations from both models were higher than the measurements from the gas detector, which did not align with the experimental results. The incorporation of dominant humidity reaction sets improved the alignment between the modeling results and specific experimental observations. The model equipped with these additional humidity reaction sets can be effectively employed to predict the NO and O
3
density generated by the Compact Air Plasma Jet device.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/2653/1/012067</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air plasma Boundary conditions Flow velocity Gas detectors Gas flow Humidity Modelling Nitric oxide Physics Plasma Plasma jets Simulation Two dimensional models |
title | Modeling simulation of nitric oxide and ozone generated by the Compact Air Plasma Jet: Nightingale |
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