Modeling analysis on the silica glass synthesis in a hydrogen diffusion flame

Yao, Wei; Zheng, Lili; Zhang, Hui

doi:10.1016/j.ijheatmasstransfer.2014.11.004

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…Figure shows the radial distributions of flame temperature and SiO 2 concentration predicted using the EDC model and transported probability density function (PDF) model, which are two commonly used combustion models in turbulent combustion simulations. The EDC model is a highly simplified model, which assumes that the chemical reactions occur in small‐scale turbulent structures and combustion at the fine scales is taken as a perfectly stirred reactor with a constant pressure.…”

Section: Resultsmentioning

confidence: 99%

“…A detailed mechanism is used to describe the reactive system of SiCl 4 /CH 4 /O 2 , including the 325‐steps sub‐mechanism from GRI 3.0 for methane combustion, 30‐steps sub‐mechanism for SiCl 4 combustion and 19‐steps sub‐mechanism of chlorine reactions from the reference . The eddy dissipation concept (EDC) model is used to calculate the net reaction rate ω α , considering the interaction of turbulence and chemical reactions . The in‐situ adaptive tabulation (ISAT) approach is used to speed up the chemical reaction calculation.…”

Section: Computational Modelsmentioning

confidence: 99%

“…Numerical simulations had been widely used to investigate SiO 2 generation and silica particles synthesis. For instance, Yao et al modeled the growth of silica particles during fused silica glass synthesis using a flat reactor. The distributions of particle temperature and size and the concentrations of some key species such as SiO 2 and OH were predicted.…”

Section: Introductionmentioning

confidence: 99%

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Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor

Huang

2019

Int J Applied Ceramic Tech

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Silica nanoparticles have been widely applied in many fields due to their excellent properties. SiO 2 generation is crucial for silica particle formation, but in a swirling reactor the SiO 2 generation is still unclear. In this study, numerical simulations are performed to investigate the SiO 2 generation and distributions of temperature and velocity during silica particle synthesis using a swirling reactor. A computational model is first developed to describe the heat and mass transport in the swirling turbulent flame. Simulation models are validated with experimental data in the case without SiO 2 chemistry. Then, effects of the fuel velocity and swirl number on SiO 2 generation are investigated. Results show that most of the SiO 2 molecules are generated in the region far away from reactor inlets and a relatively high SiO 2 generation efficiency is obtained for a fuel velocity of 32.7 m/second. Distributions of the flame temperature, velocity and SiO 2 concentration are found to vary with the swirl number and high chemical reaction rates for SiO 2 generation are obtained when a swirl number of 0.5 is employed. Uncertainty analysis shows that the average relative errors of the results from different models are within 18%. K E Y W O R D S chemical reaction, flame, reactor, silica particle, simulation

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Section: Resultsmentioning

confidence: 99%

Section: Computational Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor

Huang

2019

Int J Applied Ceramic Tech

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“…As a result, the computational efficiency was improved, but the intermediate species were ignored and the predicted flame temperature had a large deviation from the actual temperature. Yao et al 7 . adopted a more detailed mechanism of H 2 –O 2 combustion and SiCl 4 hydrolysis in their simulations.…”

Section: Introductionmentioning

confidence: 99%

Effects of injection conditions on temperature and component distributions in a CVD furnace for large‐size silica glass

Zhang²,

et al. 2023

J Am Ceram Soc.

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Silica glass is a superior functional material due to its excellent thermophysical properties. With the increasing demand for large‐size and high‐purity silica glass, a novel chemical vapor deposition (CVD) furnace characterized by a crucible has been proposed, which requires a deep understanding of heat and mass transport characteristics inside for better control. Aimed at this, a comprehensive simulation model is developed in the paper. The model is well verified with the experimentally measured temperature and is then used to examine distributions of temperature and critical components in the furnace. Effects of the injection conditions are further investigated, among which the H2–O2 equivalence ratio and flow rate have a great influence on the temperature and components distributions, whereas the SiCl4 flow rate mainly affects the SiO2 distribution. An improved injection condition is put forward finally, which is much better than the reference case; the average for the temperature and SiO2 concentration on the deposition surface is increased, respectively, by 23 K and 0.018 mol/m3, and sufficient homogeneity is maintained.

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“…Many techniques have been used to prepare transparent silica glass; these include spark plasma sintering (SPS) [3][4][5], pressure less sintering [4], vapor-phase axial deposition [6,7], solid phase sintering [8,9], slip casting [10], and sol gel method [11][12][13][14][15][16]. It is well reported that the rate and mechanism of devitrification of the glasses vary with the chemical composition of the glass, temperature, ambient atmosphere, and impurities [17].…”

Section: Introductionmentioning

confidence: 99%

The devitrification kinetics of transparent silica glass prepared by gel-casting method

Al-Hasnawi

Disher

2019

Matéria (Rio J.)

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The kinetics of the crystallization of cristobalite in the amorphous silica glass were studied for samples prepared by gel-casting and sintering in air. Avrami and rate equations were used to calculate the rate constants and the activation energy. The results showed that the crystallization obeys the first order and occurs mainly on the surface with activation energy of 543-546kJ/mol. The fewer amounts of OH-groups and the high amount of oxygen vacancies are expected to stand behind the increase in the activation energy as compared with that reported in literatures.

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Modeling analysis on the silica glass synthesis in a hydrogen diffusion flame

Cited by 9 publications

References 15 publications

Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor

Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor

Effects of injection conditions on temperature and component distributions in a CVD furnace for large‐size silica glass

The devitrification kinetics of transparent silica glass prepared by gel-casting method

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Modeling analysis on the silica glass synthesis in a hydrogen diffusion flame

Cited by 9 publications

References 15 publications

Numerical studies on SiO2 generation in swirling turbulent non‐premixed flames using SiCl4 as the precursor

Numerical studies on SiO2 generation in swirling turbulent non‐premixed flames using SiCl4 as the precursor

Effects of injection conditions on temperature and component distributions in a CVD furnace for large‐size silica glass

The devitrification kinetics of transparent silica glass prepared by gel-casting method

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Product

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Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor

Numerical studies on SiO₂ generation in swirling turbulent non‐premixed flames using SiCl₄ as the precursor