The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser

Thompson, Jason; Hassan, O.; Rolland, S.; Sienz, Johann

doi:10.1016/j.powtec.2015.12.001

Cited by 45 publications

(25 citation statements)

References 18 publications

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“…Simulation is another substitute in accepting business complications, forecasting upcoming trends, and endorsing best decisions. They explained the basics of simulation models and point out three of its advantages [19,20]. Table 1 shows the dataset applied for the outcomes.…”

Section: Simulation Predictionmentioning

confidence: 99%

“…Simulation has comparatively low data attainment and dispensation costs [21] 3. The accuracy of simulation predictions is extremely trustworthy [19] To get a prediction on the future of epidemic development model's parameters were estimated and simulation activates, aiming to fit the SEIR model with the dailyconfirmed cases data reported from Saudi Arabia. Figure 8 shows two curves for the cumulative model infections and the number of confirmed cases.…”

Section: Simulation Predictionmentioning

confidence: 99%

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Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model

Khan

2021

Int. J. Onl. Eng.

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<p>The World Health Organization (WHO) reported the COVID-19 epidemic a global health emergency on January 30 and confirmed its transformation into a pandemic on March 11. China has been the hardest hit since the virus's outbreak, which may date back to late November. Saudi Arabia realized the danger of the Coronavirus in March 2020, took the initiative to take a set of pre-emptive decisions that preceded many countries of the world, and worked to harness all capabilities to confront the outbreak of the epidemic. Several researchers are currently using various mathematical and machine learning-based prediction models to estimate this pandemic's future trend. In this work, the SEIR model was applied to predict the epidemic situation in Saudi Arabia and evaluate the effectiveness of some epidemic control measures, and finally, providing some advice on preventive measures.</p>

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Section: Simulation Predictionmentioning

confidence: 99%

Section: Simulation Predictionmentioning

confidence: 99%

Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model

Khan

2021

Int. J. Onl. Eng.

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“…The secondary atomization is that the ribbon-shaped flakes water becomes smaller water droplets [13]. Usually, the first atomization can be simulated by the VOF (volume of fluid) model [14,15,16], and the secondary atomization can be studied by DPM (discrete phase method) model [17,18]. Recently, Yu et al numerically studied the flow-field properties of the gas-liquid dual-fluid atomizer which has high flow capacity and low energy consumption [19].…”

Section: Fig 1 Medical Nebulizer Systemmentioning

confidence: 99%

Transient Atomization Modeling and Optimal Design of a Medical Air-Compressing Nebulizer

Wang

Yao

et al. 2020

IEEE Access

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This paper studies three-dimensional transient flow characteristics of a medical aircompressing nebulizer which is widely used to treat respiratory diseases in the medical field. The transient atomization process of air and water was numerically simulated and reproduced by solving Navier-Stokes equations, turbulent transport equations, the volume of fluid (VOF) model, and discrete phase model (DPM) model. The water volume fraction inside the nebulizer was simulated and demonstrated utilizing animation. Besides, to better the working performance of the nebulizer, the effects of different working parameters such as different orifice diameters, length of the outflow pipe, and air velocity on the secondary atomization were also studied and discussed. Finally, the droplet breaking process of this type of atomizer is inferred.

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“…The other is secondary atomization, where droplets are further broken into smaller ones by the high-speed gas. From the available literature, primary atomization has mainly been simulated by volume of fluid (VOF) multiphase flow (Fritsching, 2004;Liu et al, 2015;Zeoli, Tabbara, & Gu, 2011), and secondary atomization mainly by the discrete phase method (DPM) (Firmansyah et al, 2012;Thompson, Hassan, Rolland, & Sienz, 2016). This has been studied by some scholars through experiments.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of three-dimensional transient flow characteristics for a dual-fluid atomizer

Wang

Liu

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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This paper aims to study the three-dimensional transient flow-field properties of the gas-liquid dual-fluid atomizer, which has high flow capacity and low energy consumption. The two-phase atomization process of air and water, the negative pressure gradient near the porous medium and the recirculation flow inside the atomizer were numerically simulated and analyzed. Primarily, the influence of the air flow velocity on the water flow velocity at the water inlet was numerically studied. Furthermore, it was proven that the simulated results agree well with the experimental data. Thereafter, the variations in the inlet's water flow velocity and vortex current zone size were studied in detail with changes in the orifice diameter and outlet pipe length. The results indicated that the water absorption improves as the air flow velocity increases. There is a suitable orifice diameter to maximize water flow and maximize the secondary atomization. The water flow velocity becomes larger and the secondary atomization improves as the length of the outlet pipe increases. The larger the vortex region, the smaller the droplet size. This study could provide theoretical data and guidance for the optimization design of dual-fluid atomizers.

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The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser

Abstract: The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser.

Cited by 45 publications

References 18 publications

Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model

Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model

Transient Atomization Modeling and Optimal Design of a Medical Air-Compressing Nebulizer

Numerical simulation of three-dimensional transient flow characteristics for a dual-fluid atomizer

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