Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays

In this paper, the stochastic equations of droplet motion in turbulent flow, proposed recently by Gorokhovski and Zamansky (2018, Phys. Rev. Fluids 3, 3, 034602), are assessed for turbulent spray dispersion in diesel like conditions along with Large Eddy Simulation (LES) for the gaseous flow. For dr...

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Main Authors: Oruganti Surya Kaundinya, Millet Guillaume, Gorokhovski Mikhael
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:Oil & Gas Science and Technology
Online Access:https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2019/01/ogst180400/ogst180400.html
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spelling doaj-4f9d5a5b136846569be17c597d9a1d142021-03-02T09:30:12ZengEDP SciencesOil & Gas Science and Technology1294-44751953-81892019-01-01746010.2516/ogst/2019025ogst180400Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like spraysOruganti Surya KaundinyaMillet GuillaumeGorokhovski MikhaelIn this paper, the stochastic equations of droplet motion in turbulent flow, proposed recently by Gorokhovski and Zamansky (2018, Phys. Rev. Fluids 3, 3, 034602), are assessed for turbulent spray dispersion in diesel like conditions along with Large Eddy Simulation (LES) for the gaseous flow. For droplets above the Kolmogorov length scale, this model introduces the concept of the stochastic drag, independently of laminar viscosity. For droplets below the Kolmogorov length scale, the model equation does depend on the laminar viscosity through the Stokes drag but the particle motion is stochastically forced. Both the stochastic drag and the stochastic forcing of the Stokes drag equation are based on the simple log-normal stochastic process for the viscous dissipation (ϵ) “seen” along the droplet trajectory. In this paper, this model is applied in the framework of two-way coupling, wherein the turbulence generated by the spray inturn controls the spray dispersion. The criterion for the choice of one of the approaches, i.e., the stochastic drag or the stochastic forcing, follows the classical condition for drag coefficient based on the droplet Reynolds number (Re p). The non-vaporizing spray experiments from Engine Combustion Network (ECN) are used as test cases. In addition to the comparison of the spray penetration length, spreading angle and spray structure with the experimental data, a qualitative analysis of the statistics of the droplet acceleration and gas phase velocities is presented. It was shown that the new approach is much more effective in modeling the spray dynamics on relatively coarser mesh. Consequently, the new approach in the framework of two-way coupling may predict the preferential concentration effects better, which is important for spray combustion.https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2019/01/ogst180400/ogst180400.html
collection DOAJ
language English
format Article
sources DOAJ
author Oruganti Surya Kaundinya
Millet Guillaume
Gorokhovski Mikhael
spellingShingle Oruganti Surya Kaundinya
Millet Guillaume
Gorokhovski Mikhael
Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
Oil & Gas Science and Technology
author_facet Oruganti Surya Kaundinya
Millet Guillaume
Gorokhovski Mikhael
author_sort Oruganti Surya Kaundinya
title Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
title_short Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
title_full Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
title_fullStr Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
title_full_unstemmed Assessment of LES-STRIP approach for modeling of droplet dispersion in diesel-like sprays
title_sort assessment of les-strip approach for modeling of droplet dispersion in diesel-like sprays
publisher EDP Sciences
series Oil & Gas Science and Technology
issn 1294-4475
1953-8189
publishDate 2019-01-01
description In this paper, the stochastic equations of droplet motion in turbulent flow, proposed recently by Gorokhovski and Zamansky (2018, Phys. Rev. Fluids 3, 3, 034602), are assessed for turbulent spray dispersion in diesel like conditions along with Large Eddy Simulation (LES) for the gaseous flow. For droplets above the Kolmogorov length scale, this model introduces the concept of the stochastic drag, independently of laminar viscosity. For droplets below the Kolmogorov length scale, the model equation does depend on the laminar viscosity through the Stokes drag but the particle motion is stochastically forced. Both the stochastic drag and the stochastic forcing of the Stokes drag equation are based on the simple log-normal stochastic process for the viscous dissipation (ϵ) “seen” along the droplet trajectory. In this paper, this model is applied in the framework of two-way coupling, wherein the turbulence generated by the spray inturn controls the spray dispersion. The criterion for the choice of one of the approaches, i.e., the stochastic drag or the stochastic forcing, follows the classical condition for drag coefficient based on the droplet Reynolds number (Re p). The non-vaporizing spray experiments from Engine Combustion Network (ECN) are used as test cases. In addition to the comparison of the spray penetration length, spreading angle and spray structure with the experimental data, a qualitative analysis of the statistics of the droplet acceleration and gas phase velocities is presented. It was shown that the new approach is much more effective in modeling the spray dynamics on relatively coarser mesh. Consequently, the new approach in the framework of two-way coupling may predict the preferential concentration effects better, which is important for spray combustion.
url https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2019/01/ogst180400/ogst180400.html
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AT gorokhovskimikhael assessmentoflesstripapproachformodelingofdropletdispersionindiesellikesprays
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