A novel approach for the estimation of nanoparticle evaporation through the Method of Moments

Galleni, Francesco; Strappaveccia, Francesco; Ghedini, Emanuele

doi:10.1088/1742-6596/1243/1/012013

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…Lastly, a general overview on the physical mathematical formulation of the whole phenomenon is reported. The model includes the general aerosol dynamic equation (GDE), solved using the MoM, as performed by Xiong et al in [8] and Galleni et al in [6], together with the stochastic PBM. For the sake of clarity, it is crucial to remember that the multi-scale simulations performed in this work do not require a chemical solver due to the nature of the components, also available in NanoDOME.…”

Section: Methodsmentioning

confidence: 99%

“…M k indicate the production rates, respectively, due to nucleation, condensation and evaporation, coagulation, and diffusion mechanisms. The system mathematical closure is assessed with the conventional definition of geometric standard deviation, Equation (6), and geometric mean volume, Equation (7), and their dependence on the moments:…”

Section: Gde and Mom Methodsmentioning

confidence: 99%

“…Various sets of stochastic and deterministic models for multiphysics assessments of NP size distribution and for tracking the thermophysical evolution of NPs have been proposed. The current state-of-the-art research for GPNS suggests the population balance (PBM) [5] and moments methods (MoM) [6] as efficient and reliable tools for GPNS modelling. Moreover, recently, multi-physics linked models have emerged as powerful tools to intimately investigate GPNS.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and Experimental Study of Gas Phase Nanoparticle Synthesis Using NanoDOME

et al. 2023

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Nowadays, with the rocketing of computational power, advanced numerical tools, and parallel computing, multi-scale simulations are becoming applied more and more to complex multi-physics industrial processes. One of the several challenging processes to be numerically modelled is gas phase nanoparticle synthesis. In an applied industrial scenario, the possibility to correctly estimate the geometric properties of the mesoscopic entities population (e.g., their size distribution) and to more precisely control the results is a crucial step to improve the quality and efficiency of the production. The “NanoDOME” project (2015–2018) aims to be an efficient and functional computational service to be applied in such processes. NanoDOME has also been refactored and upscaled during the H2020 Project “SimDOME”. To prove its reliability, we present here an integrated study between experimental data and NanoDOME’s predictions. The main goal is to finely investigate the effect of a reactor’s thermodynamic conditions on the thermophysical history of mesoscopic entities along the computational domain. To achieve this goal, the production of silver nanoparticles has been assessed for five cases with different experimental operative conditions of the reactor. The time evolution and final size distribution of nanoparticles have been simulated with NanoDOME by exploiting the method of moments and population balance model. The validation is performed by comparing NanoDOME’s calculations with the experimental data.

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Section: Methodsmentioning

confidence: 99%

Section: Gde and Mom Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical and Experimental Study of Gas Phase Nanoparticle Synthesis Using NanoDOME

et al. 2023

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“…It is often used for the analysis of NP formation using a plasma reactor. Several papers have been published about NP formation and growth in steady state ITP method [36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

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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Mathematical Modeling of SiO2 Nanoparticle Condensation Under Low-Temperature Plasma Conditions

Matvienko,

Shekhovtsov

2024

J Eng Phys Thermophy

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A novel approach for the estimation of nanoparticle evaporation through the Method of Moments

Cited by 4 publications

References 10 publications

Numerical and Experimental Study of Gas Phase Nanoparticle Synthesis Using NanoDOME

Numerical and Experimental Study of Gas Phase Nanoparticle Synthesis Using NanoDOME

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

Mathematical Modeling of SiO2 Nanoparticle Condensation Under Low-Temperature Plasma Conditions

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