Detailed numerical simulation of single-walled carbon nanotube synthesis in a radio-frequency induction thermal plasma system

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DOIResolve DOI: http://doi.org/10.1088/1742-6596/406/1/012011
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TypeArticle
Proceedings titleJournal of Physics: Conference Series
Conference12th High-Tech Plasma Processes Conference, HTPP 2012, 24 June 2012 through 29 June 2012, Bologna
ISSN1742-6588
Volume406
Issue1
Article number12011
SubjectAxisymmetric; CFD codes; Chemical model; Chemistry models; Different operating conditions; Induction thermal plasma; Metal catalyst; Modified model; Numerical calculation; Radio frequencies; RF plasma; RF plasma systems; Single-walled carbon; Thermofluid fields; Yield rates; Carbon clusters; Chemical reactions; Computational fluid dynamics; Computer simulation; Forecasting; Plasma devices; Reaction rates; Single-walled carbon nanotubes (SWCN); Wave plasma interactions; Plasma theory
Abstract2D axisymmetric numerical calculations are conducted to model the thermo-fluid fields and chemical reactions leading to the formation of SWCNTs in an RF plasma system. A modified version of the SWCNT "reduced" chemical model is used to estimate the formation of SWCNT in an RF plasma system for the first time. The "reduced" model incorporates 14 species and 36 chemical reactions to predict the formation of metal and carbon clusters and SWCNTs. By combing the chemistry model into the RF plasma CFD code, the formation and development of carbon and metal catalyst clusters and their reactions which produce SWCNTs are shown. The chemistry model is shown to under-predict the yield rate of SWCNT. In order to better predict the yield rate, a sensitivity analysis is performed to modify the dominant reaction rates. The modified model predicts the yield of SWCNTs correctly within the range reported experimentally. However, more studies should be conducted to validate the accuracy of the model for different operating conditions.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Security and Disruptive Technologies (SDT-TSR)
Peer reviewedYes
NPARC number21269318
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Record identifierfdabf989-abbc-4c0d-b38a-5219ac59fa98
Record created2013-12-12
Record modified2016-05-09
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