Simulation of liquid jet primary breakup in a supersonic crossflow under Adaptive Mesh Refinement framework

Liu, Nan; Wang, Zhenguo; Sun, Mingbo; Deiterding, Ralf; Wang, Hongbo

doi:10.1016/j.ast.2019.05.017

Cited by 38 publications

(7 citation statements)

References 44 publications

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“…While valuable insight has been obtained with numerical studies of aerobreakup in the past (see, e.g. Jalaal & Mehravaran 2014;Garrick 2016;Liu et al 2018;Meng & Colonius 2018;Liu et al 2019;Marcotte & Zaleski 2019), the computational costs quickly become prohibitive for the large range of scales in aerobreakup. Hence, most commonly, artificial symmetries are imposed, which prohibit the formation of truly three-dimensional instabilities or do not account for any viscous or capillary effects, which become important at later stages of the breakup.…”

Section: Governing Equations and Numerical Methodsmentioning

confidence: 99%

On the formation and recurrent shedding of ligaments in droplet aerobreakup

et al. 2020

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Section: Governing Equations and Numerical Methodsmentioning

confidence: 99%

On the formation and recurrent shedding of ligaments in droplet aerobreakup

et al. 2020

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“…Therefore, the present model has a relatively large discrepancy with empirical relations in the column breakup region. In order to obtain more comprehensive and precise data, we can refer to some high-quality simulation such as Liu et al [29], to understand the spray characteristics or breakup mechanism of a liquid jet in crossflow.…”

Section: International Journal Of Aerospace Engineeringmentioning

confidence: 99%

Droplet Size Spatial Distribution Model of Liquid Jets Injected into Subsonic Crossflow

Liu

Yang

2020

International Journal of Aerospace Engineering

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Liquid jet injected into transverse subsonic gaseous flow has been widely utilized in many industrial applications. It is useful to determine the spatial distribution of generated droplets in the near-field region for high-efficiency combustion. In this paper, we propose a simplified model to predict droplet spatial distribution in transverse subsonic gaseous flow. Linear stability analysis has been used to determine the disturbance growth rate on the surface of a liquid column. When the amplitude of disturbance is of the same order of magnitude as jet radius, the liquid jet breaks up into ligaments. We can make an assumption that the generation rate of small droplet equals to liquid breakup rates, which varies with a spatial location under this circumstance. Combining these relations with the definition of SMD (Sauter mean diameter), a semitheoretical relation to evaluate droplet spatial distribution along the liquid column can be established. The present model has been compared with empirical relation based on experiments under different conditions. Results indicate that in the surface breakup region, the current model shows great consistency with experimental observations while there exists a relatively large discrepancy between the current model and experimental observation in the column breakup region because of its strong nonlinear effect near the breakup point. In addition, the effects of flow parameters on droplet size spatial distribution have been investigated.

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“…The use of adaptive mesh refinement has been explored in the literature in the past for a wide variety of applications, including turbulent non-premixed combustion 2 , liquid sprays/jets 3,4 and others 5,6,7,8,9,10,11 . Nevertheless, despite the high potential of reduction in computing times, only few researchers have investigated the use of AMR in fire applications 12,13,14 .…”

Section: Introductionmentioning

confidence: 99%

Analysis of adaptive mesh refinement in a turbulent buoyant helium plume

Maragkos

Funk

Merci

2022

Numerical Methods in Fluids

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The study evaluates OpenFOAM's adaptive mesh refinement (AMR) capabilities and accuracy when applied to numerical simulations of turbulent buoyant flows. To this purpose, large eddy simulations of Sandia's turbulent helium plume test case are considered, a scenario with similar characteristics (in terms of air entrainment and vortex shedding) to those encountered in large-scale fires. Comparison is made of the relative accuracy (in terms of both first and second order statistics), the predicted puffing frequencies and the computing times of numerical simulations using AMR and static meshes. Additionally, a sensitivity study on different AMR parameters is conducted and an evaluation of the performance of the dynamic Smagorinsky model when combined with AMR is made. Overall, the predictions of AMR are very satisfactory, in terms of both accuracy and computing times, compared to the use of static meshes of different sizes. Nevertheless, it is observed that a careful choice of a static mesh can result in equally accurate predictions with comparable, or even smaller, computing times than AMR for the case at hand. Additionally, the use of AMR slightly modified the entrainment characteristics in the near-field region of the plume and (significantly) altered some of the, dynamically determined, turbulence model parameters.

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Simulation of liquid jet primary breakup in a supersonic crossflow under Adaptive Mesh Refinement framework

Cited by 38 publications

References 44 publications

On the formation and recurrent shedding of ligaments in droplet aerobreakup

On the formation and recurrent shedding of ligaments in droplet aerobreakup

Droplet Size Spatial Distribution Model of Liquid Jets Injected into Subsonic Crossflow

Analysis of adaptive mesh refinement in a turbulent buoyant helium plume

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