Plasma-Particle Momentum, Heat and Mass Transfer

Boulos, Maher I.; Fauchais, Pierre; Pfender, E.

doi:10.1007/978-3-319-12183-3_29-1

Cited by 3 publications

(7 citation statements)

References 154 publications

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“…Quantities Q hc and Q rad on the right-hand-side represent the heat transfer from thermal plasma to particle surface, and the thermal radiative loss from the surface. These quantities Q hc and Q rad are written in appendix A [51].…”

Section: Momentum Conservation For a Feedstock Particlementioning

confidence: 99%

“…Empirical formula for drag coefficient C D,film is expressed as [51]: where Re p is the particle Reynolds number, which is defined as:…”

Section: Data Availability Statementmentioning

confidence: 99%

“…Heat transfer coefficient h c is computed with Nusselt number Nu and the integrated mean value of thermal conductivity in consideration of the transport property change on the particle boundary layer and non-continuum effect [51]:…”

Section: Data Availability Statementmentioning

confidence: 99%

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Numerical study of nanoparticle formation in two-coil tandem-type modulated induction thermal plasmas with simultaneous modulation of upper- and lower-coil currents

Furukawa¹,

Tanaka²,

Nakano³

et al. 2021

J. Phys. D: Appl. Phys.

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A numerical study was conducted of nanoparticle (NP) formation and growth in two-coil tandem-type modulated induction thermal plasma (tandem MITP) with method of moment. Two-coil tandem MITP, which has two induction coils in one plasma torch, has been developed for the synthesis of large amounts of NPs. The two-coil tandem MITP is operated by modulated or non-modulated two coil currents for induction thermal plasma under a transient state. Furthermore, time-controlled feedstock feeding (TCFF) is involved with tandem MITP. For this tandem MITP + TCFF method, we developed a numerical model with three components: calculation of time-varying tandem-MITP fields, calculation of intermittent feeding of feedstock particles including dynamic motion, heating and evaporation of feedstock particles, and the calculation of NP formation and growth from feedstock vapour in time-varying tandem MITP fields. Two-way interactions among these three parts were also considered. Calculation was made Si NP formation in Ar tandem MITP with intermittent feeding of feedstock Si microparticles. Calculation results demonstrated that two-coil tandem-type MITP with simultaneous modulation of upper-coil and lower-coil currents can produce more rapid decay in the temperature field in the reaction chamber during the off-time, and that this rapid temperature decay promotes nucleation of NPs and suppresses particle growth. This finding indicates that tandem MITP can offer a temperature field with greater variation, which is preferred for NP synthesis.

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Section: Momentum Conservation For a Feedstock Particlementioning

confidence: 99%

“…Empirical formula for drag coefficient C D,film is expressed as [51]: where Re p is the particle Reynolds number, which is defined as:…”

Section: Data Availability Statementmentioning

confidence: 99%

See 1 more Smart Citation

Numerical study of nanoparticle formation in two-coil tandem-type modulated induction thermal plasmas with simultaneous modulation of upper- and lower-coil currents

Furukawa¹,

Tanaka²,

Nakano³

et al. 2021

J. Phys. D: Appl. Phys.

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show abstract

“…The first and second terms Q hc and Q rad on the RHS express heat transfer from thermal plasma to the particle surface, and radiative loss from the surface. Q hc and Q rad are shown in appendix A [45].…”

Section: Momentum Conservation For a Feedstock Particlementioning

confidence: 99%

Numerical study on the evaporation process of feedstock powder under transient states in pulse-modulated induction thermal plasmas for nanoparticle synthesis

Onda

Tanaka

Akashi

et al. 2020

J. Phys. D: Appl. Phys.

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A numerical model was developed on the evaporation process of intermittently fed feedstock into pulse-modulated induction thermal plasma (PMITP). This experimental method combining the PMITP with intermittent feedstock feeding has been developed for the synthesis of large amounts of nanoparticles. To treat this method, a full transient numerical model for the PMITP was combined with transient equations of particle behaviour with different time steps. Transient two-way interactions from particle evaporation to the PMITP were also taken into account at each time step as source terms in mass, momentum and energy conservations. The temperature, gas flow field and mass fraction of feedstock vapor were obtained in the transient state in the PMITP with the motion of feedstock particles. The calculation results were compared with the experimental results for the Ar I line and feedstock atomic line. They were found to be in fair agreement even in the transient state.

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“…Good agreement was obtained for the velocity profile but for the temperature field, the comparison was not as good. This was due to the assumptions of constant (temperature independent) specific heat and viscosity, which were unrealistic since the transport and thermodynamic properties of ionized gas were strongly dependent on temperature (Boulos et al, 1993). One of the findings was that the contribution from gas radiation to particle heating was never greater than 0.5% of the contributions from that of conduction and convection.…”

Section: (D) Tilting Injectionmentioning

confidence: 99%

Coating deposition in plasma spray process

Kang¹

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Plasma spraying is widely used to produce coatings on complex engineering components because of its high deposition rate and wide range of materials that can be sprayed. Also, there are little limitations on the size of the parts and reasonably environmentally friendly as compared to the wet coating processes (e.g. electroplating). However, the three-dimensional shape of the components leads to the deficiency of the plasma spraying process since this process is prone to coating profiles' variations when spraying various surface topologies. Hitherto, the desired coating profiles are successfully optimized by costly and extensive trial and error testing, involving highly-trained manpower and part costs. A deposition model to predict the profiles for such parts is therefore desirable because in using this model, the cost and effort of the test spraying actual part will be reduced, if not eliminated, significantly shortening the process chain. I

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Plasma-Particle Momentum, Heat and Mass Transfer

Cited by 3 publications

References 154 publications

Numerical study of nanoparticle formation in two-coil tandem-type modulated induction thermal plasmas with simultaneous modulation of upper- and lower-coil currents

Numerical study of nanoparticle formation in two-coil tandem-type modulated induction thermal plasmas with simultaneous modulation of upper- and lower-coil currents

Numerical study on the evaporation process of feedstock powder under transient states in pulse-modulated induction thermal plasmas for nanoparticle synthesis

Coating deposition in plasma spray process

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