Investigating Flow-Induced Changes in Coaxial Cylindrical Dielectric Barrier Discharge Using Equivalent Circuit Modelling and Chemical Workbench Simulations

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This study developed an equivalent circuit model and used Chemical Workbench simulations to show how flow regimes affect coaxial cylindrical dielectric barrier discharge electrical properties, finding increased current and decreased resistance with higher flow rates.

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The paper develops an equivalent electrical circuit model in MATLAB/Simulink to simulate a coaxial cylindrical dielectric barrier discharge (DBD) and examines how the flow regime affects its electrical characteristics, with experimental validation using Chemical Workbench (CWB). Using the model, the authors report accurate predictions of peak current amplitude (Ipeak), root mean square total current (Irms), and microfilament discharge resistance (Rf), with MATLAB/Simulink and CWB showing excellent agreement with experiments. They find that as Reynolds number increases from laminar (Re = 300) to turbulent flow (Re = 4500), Ipeak rises (from 60 to 80 mA for Ar; 90 to 140 mA for N2) while Rf decreases (from 3.0 to 0.6 mΩ for Ar; 2.0 to 0.1 mΩ for N2), and they analyze Rf changes via the Peclet number to interpret heat/mass transport. The work is a preprint and not peer reviewed, and the corpus content is limited to the provided abstract. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract This study presents the development of an equivalent electrical circuit model using MATLAB/Simulink to simulate the discharge behaviour of a coaxial cylindrical dielectric barrier discharge (DBD) and explores the influence of the flow regime on its electrical characteristics. Validation of the experimental findings was performed using Chemical Workbench (CWB). The simulations provided valuable insights into the DBD behaviour, facilitating its performance optimization. The equivalent circuit model demonstrated accurate predictions of peak current amplitude\({ (I}_{peak})\), root mean square of total current \(\left({ I}_{rms }\right)\), and microfilament discharge resistance \(\left({ R}_{f }\right)\). The study unveiled a significant impact of the flow regime on the electrical properties of the DBD. As the flow rate (Q) transitioned from the laminar flow regime (Reynolds number, Re = 300) to the turbulent flow regime (Re = 4500), the peak current \({ (I}_{peak})\) exhibited an increase from 60 mA to 80 mA for Argon (Ar) and 90 mA to 140 mA for Nitrogen (N2) gas. Simultaneously, the \({ R}_{f }\) decreased from 3.0 mΩ to 0.6 mΩ for Ar and 2.0 mΩ to 0.1 mΩ for N2. The impact of the flow regime on \({ R}_{f }\) was analyzed using the Peclet number (Pe) to gain a better understanding of heat/mass transport from the discharge to the surroundings. The MATLAB/Simulink and CWB models corroborated these findings, demonstrating excellent agreement with the experimental results. This validation underscores the reliability of the models in effectively characterizing the discharge parameters of the DBD.
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Investigating Flow-Induced Changes in Coaxial Cylindrical Dielectric Barrier Discharge Using Equivalent Circuit Modelling and Chemical Workbench Simulations | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Investigating Flow-Induced Changes in Coaxial Cylindrical Dielectric Barrier Discharge Using Equivalent Circuit Modelling and Chemical Workbench Simulations Ram Mohan Pathak, Ananthanarasimhan Jayanarasimhan, Sounak Nandi, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4613797/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract This study presents the development of an equivalent electrical circuit model using MATLAB/Simulink to simulate the discharge behaviour of a coaxial cylindrical dielectric barrier discharge (DBD) and explores the influence of the flow regime on its electrical characteristics. Validation of the experimental findings was performed using Chemical Workbench (CWB). The simulations provided valuable insights into the DBD behaviour, facilitating its performance optimization. The equivalent circuit model demonstrated accurate predictions of peak current amplitude \({ (I}_{peak})\) , root mean square of total current \(\left({ I}_{rms }\right)\) , and microfilament discharge resistance \(\left({ R}_{f }\right)\) . The study unveiled a significant impact of the flow regime on the electrical properties of the DBD. As the flow rate ( Q ) transitioned from the laminar flow regime (Reynolds number, Re = 300) to the turbulent flow regime ( Re = 4500), the peak current \({ (I}_{peak})\) exhibited an increase from 60 mA to 80 mA for Argon (Ar) and 90 mA to 140 mA for Nitrogen (N 2 ) gas. Simultaneously, the \({ R}_{f }\) decreased from 3.0 mΩ to 0.6 mΩ for Ar and 2.0 mΩ to 0.1 mΩ for N 2 . The impact of the flow regime on \({ R}_{f }\) was analyzed using the Peclet number ( Pe ) to gain a better understanding of heat/mass transport from the discharge to the surroundings. The MATLAB/Simulink and CWB models corroborated these findings, demonstrating excellent agreement with the experimental results. This validation underscores the reliability of the models in effectively characterizing the discharge parameters of the DBD. Dielectric Barrier Discharge Equivalent Electric Circuit Electrical Characteristics Simulink Model Chemical Workbench Model Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryFilePlasmaChemistryandPlasmaProcessing.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 14 Sep, 2024 Reviews received at journal 09 Sep, 2024 Reviews received at journal 01 Sep, 2024 Reviewers agreed at journal 19 Aug, 2024 Reviewers agreed at journal 13 Aug, 2024 Reviewers invited by journal 05 Aug, 2024 Editor assigned by journal 23 Jun, 2024 Submission checks completed at journal 23 Jun, 2024 First submitted to journal 20 Jun, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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As the flow rate (\u003cem\u003eQ\u003c/em\u003e) transitioned from the laminar flow regime (Reynolds number, \u003cem\u003eRe\u003c/em\u003e\u0026thinsp;=\u0026thinsp;300) to the turbulent flow regime (\u003cem\u003eRe\u003c/em\u003e\u0026thinsp;=\u0026thinsp;4500), the peak current \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({ (I}_{peak})\\)\u003c/span\u003e\u003c/span\u003e exhibited an increase from 60 mA to 80 mA for Argon (Ar) and 90 mA to 140 mA for Nitrogen (N\u003csub\u003e2\u003c/sub\u003e) gas. Simultaneously, the \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({ R}_{f }\\)\u003c/span\u003e\u003c/span\u003e decreased from 3.0 mΩ to 0.6 mΩ for Ar and 2.0 mΩ to 0.1 mΩ for N\u003csub\u003e2\u003c/sub\u003e. The impact of the flow regime on \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\({ R}_{f }\\)\u003c/span\u003e\u003c/span\u003e was analyzed using the Peclet number (\u003cem\u003ePe\u003c/em\u003e) to gain a better understanding of heat/mass transport from the discharge to the surroundings. The MATLAB/Simulink and CWB models corroborated these findings, demonstrating excellent agreement with the experimental results. This validation underscores the reliability of the models in effectively characterizing the discharge parameters of the DBD.\u003c/p\u003e","manuscriptTitle":"Investigating Flow-Induced Changes in Coaxial Cylindrical Dielectric Barrier Discharge Using Equivalent Circuit Modelling and Chemical Workbench Simulations","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-11 02:26:45","doi":"10.21203/rs.3.rs-4613797/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-09-14T08:16:42+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-09-09T21:17:40+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-09-01T13:18:17+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"73215411900708317775259288130147457503","date":"2024-08-19T05:25:54+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"90592879750989911641461100977999734106","date":"2024-08-13T07:31:15+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-08-05T13:46:54+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-06-24T01:54:21+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-06-24T01:54:09+00:00","index":"","fulltext":""},{"type":"submitted","content":"Plasma Chemistry and Plasma Processing","date":"2024-06-20T21:02:32+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"plasma-chemistry-and-plasma-processing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":" Learn more about [Plasma Chemistry and Plasma Processing](https://www.springer.com/journal/11090 ","snPcode":"11090","submissionUrl":"https://mc.manuscriptcentral.com/pcpp","title":"Plasma Chemistry and Plasma Processing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"5d8fdbe5-63c9-4183-90be-8c34f4de9678","owner":[],"postedDate":"July 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-01-19T02:23:08+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-11 02:26:45","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4613797","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4613797","identity":"rs-4613797","version":["v1"]},"buildId":"J0_U0BvcaRcwD8yVFaRlm","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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