2016
DOI: 10.1063/1.4958326
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Analysis of non-equilibrium phenomena in inductively coupled plasma generators

Abstract: This work addresses the modeling of non-equilibrium phenomena in inductively coupled plasma discharges. In the proposed computational model, the electromagnetic induction equation is solved together with the set of Navier-Stokes equations in order to compute the electromagnetic and flow fields, accounting for their mutual interaction. Semi-classical statistical thermodynamics is used to determine the plasma thermodynamic properties, while transport properties are obtained from kinetic principles, with the meth… Show more

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Cited by 31 publications
(11 citation statements)
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“…The coupling is done through Joule heating and the Lorentz force respectively in the energy and momentum equations, and the temperature dependence of the gas electric conductivity. The reader is referred to Zhang, Lani & Panesi (2016) for a complete breakdown of the variables and electromagnetic equations. Details of the implementation are available in the reports of Honzatko (2006) and Prokop (2007).…”
Section: Problem and Model Descriptionmentioning
confidence: 99%
“…The coupling is done through Joule heating and the Lorentz force respectively in the energy and momentum equations, and the temperature dependence of the gas electric conductivity. The reader is referred to Zhang, Lani & Panesi (2016) for a complete breakdown of the variables and electromagnetic equations. Details of the implementation are available in the reports of Honzatko (2006) and Prokop (2007).…”
Section: Problem and Model Descriptionmentioning
confidence: 99%
“…This assumption has been validated using spectroscopy measurements [13] for the test conditions analyzed in the present work. Recent numerical investigations [33] suggest nonetheless that LTE may not hold under different conditions (e.g. lower mass flows).…”
Section: Sources Of Uncertaintiesmentioning
confidence: 99%
“…2009; Mena et al. 2015; Zhang, Lani & Panesi 2016), radiation (Santos & Lani 2016), magnetospheric/solar plasmas (Alvarez Laguna et al. 2016, 2019; Alonso Asensio et al.…”
Section: Methodsmentioning
confidence: 99%