Modelling spark-plug discharge in dry air

Crispim, L.W.S.; Hallak, Patrícia H.; Benilov, M. S.; Ballester, Maikel Y.

doi:10.1016/j.combustflame.2018.09.007

Cited by 13 publications

(5 citation statements)

References 38 publications

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“…As has been mentioned in the previous section, a conductive plasma channel forms when the streamer connects two metals. This is a common process in many applications, e.g., a spark plug [81].…”

Section: Gap-closing Strategiesmentioning

confidence: 99%

Simulation of ionization-wave discharges: a direct comparison between the fluid model and E-FISH measurements

Zhu¹,

Chen²,

Wu³

et al. 2021

Plasma Sources Sci. Technol.

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For a long period, there was a resolution gap between numerical modeling and experimental measurements, making it hard to conduct a direct comparison between them, but they are now developing in parallel. In this work, we numerically study diffusive ionization wave and fast ionization wave discharge experiments using recently published electric-field-induced second-harmonic (E-FISH) data together with a classical fluid model. We propose a pressure-E/N range for the drift diffusion approximation and a pressure-grid range for the local field/mean energy approximation of the fluid model. The three-term Helmholtz photoionization model is generalized using parameters given for N 2 , O 2 , CO 2 , and air. The capabilities of the classical fluid method for modeling the inception, propagation, and channel breakdown stages are studied. The calculated electric field evolution of the ionization is compared with E-FISH measurements in the discharge development and gap-closing stages. The influence of electrode shape and predefined electron density on the streamer morphology and the long-standing inception problem of the ionization waves are discussed in detail. Within the application range of the classical fluid model, good agreement can be achieved between calculation and measurement.

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Section: Gap-closing Strategiesmentioning

confidence: 99%

Simulation of ionization-wave discharges: a direct comparison between the fluid model and E-FISH measurements

Zhu¹,

Chen²,

Wu³

et al. 2021

Plasma Sources Sci. Technol.

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“…Even when such a model provides interesting insights into the DBD, the initial quasineutrality of the gas limits its application in the rationalization of the first steps in the discharge process. Another previously reported strategy coupled a microscopic plasmo-chemical model with advection-diffusion transport equations were employed and solved using finite volume techniques in a 1D axial symmetric domain [4][5][6]. There, good agreement with experimental measurements and interesting discussions in the kinetic analysis were presented.…”

Section: Introductionmentioning

confidence: 72%

“…This technique is essential due to the time-consuming nature of resolving source terms in plasma modelling tools like ZDPlaskin. Minimizing the computational time is of interest, particularly looking ahead to the application of the here-introduced methodology to more complex chemical-kinetic cycles, for example, [4][5][6].…”

Section: ( )mentioning

confidence: 99%

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Simulation of 1D atmospheric pressure dielectric barrier discharge in argon

Crispim,

da Silva,

Amorim

et al. 2024

Phys. Scr.

Self Cite

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This work aims at modelling an atmospheric-pressure homogeneousbarrier discharge in argon, using a time-dependent 1D fluid model coupled to theelectric field and plasmo-chemical kinetic equations. The model is chosen to mimic adischarge when a sinusoidal 1kV voltage at 10MHz is applied to the terminals. Energy and mass transfer are considered for a macroscopic fluid representation, while energy transfer in molecular collisions and chemical reactions is treated at the microscopiclevel. The macroscopic model is represented by a set of uncoupled partial differential equations. Microscopic effects are studied within a discrete model for electronic and molecular collisions in the frame of ZDPlasKin, a plasma modelling numerical tool. The BOLSIG+ solver is employed in solving the electronic Boltzmann equation. An operator splitting technique is used to separate microscopic and macroscopic models. The spatial and temporal evolution of such species and electron transport parameters are presented and discussed.

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“…Incorporating in-line a two-term approximation Boltzmann equation solver (BOLSIG+) [28] to calculate EEDF and reaction rates at each time step, this code has been well acknowledged and validated by a growing list of studies. [33][34][35][36] In this study, ZDPlaskin [37] is used throughout to generate the training data and to solve plasma chemistry equations.…”

Section: The Kinetics Model and The Training Datamentioning

confidence: 99%

Tailoring electric field signals of nonequilibrium discharges by the deep learning method and physical corrections

Zhu

Yin

Chen

et al. 2021

Plasma Processes & Polymers

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Smart modulation of discharges is necessary to generate specific reactive species in an energy-efficient way. A physics corrected plasma + deep learning framework, the DeePlaskin, is proposed. This framework can be used for the nonequilibrium plasma systems that can be described by a global chemistry model (assuming global uniformity, e.g., in spark channels or the early afterglow of the fast ionization wave discharges). Knowing the kinetics scheme and the predefined temporal evolution of

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Modelling spark-plug discharge in dry air

Cited by 13 publications

References 38 publications

Simulation of ionization-wave discharges: a direct comparison between the fluid model and E-FISH measurements

Simulation of ionization-wave discharges: a direct comparison between the fluid model and E-FISH measurements

Simulation of 1D atmospheric pressure dielectric barrier discharge in argon

Tailoring electric field signals of nonequilibrium discharges by the deep learning method and physical corrections

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