Multidimensional turbulence spectra – Statistical analysis of turbulent vortices

Ghasempour, Farideh; Andersson, Ronnie; Andersson, Bengt

doi:10.1016/j.apm.2014.03.003

Cited by 22 publications

(20 citation statements)

References 17 publications

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“…Han et al investigated the influence of complete energy spectrum on drop breakage in turbulent flow, however, the number density model that they formulated is valid only for the inertial subrange. Recently, the slope −3 was confirmed by the authors for number density of turbulent vortices quantified also in a rather low Reynolds number turbulent flow . In the study, different offsets were found for the vortex number density distributions.…”

Section: Number Density Of Turbulent Vorticessupporting

confidence: 63%

“…Mesh convergence study results for two different mesh resolutions show a minor difference in the root mean square (RMS) velocities which is somewhat higher close to the wall, as expected, as a larger part of the turbulent kinetic energy is resolved with finer mesh. A power spectra in axial direction at the center of the pipe showed that a lower range for the inertial subrange is 2 mm at Re = 20,000 …”

Section: Methodsmentioning

confidence: 98%

“…To increase the amount of energy captured within the vortices, their volumes must be extended. Different methods were used to extend volume of the vortices (Ghasempour et al, Submitted) . In this algorithm, turbulent vortices were regrowing using distance transform to increase the amount of turbulent kinetic energy captured.…”

Section: Methodsmentioning

confidence: 99%

“…Existing models of vortex number density implemented in break‐up and coalescence models are valid only for the inertial subrange. Recently, available models on vortex number density in the inertial subrange of energy spectrum were studied by the authors …”

Section: Introductionmentioning

confidence: 99%

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Number density of turbulent vortices in the entire energy spectrum

Ghasempour

Andersson

et al. 2014

AIChE Journal

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In coalescence and break-up modeling, vortex number density and size distributions of turbulent vortices are required to calculate the rate of interaction between continuous and dispersed phases. Existing number density models are only valid for the inertial subrange of the energy spectrum and no model of the vortex number density, valid for the entire energy spectrum, is available. The number density of the turbulent vortices were studied and modeled for the entire energy spectrum including the dissipative, inertial, and energy containing subranges. It was observed that the new number density model depends on vortex size, local turbulent kinetic energy, and dissipation rate. Moreover, the new number density model was validated by the number density distributions quantified in a turbulent pipe flow. The turbulent vortices of the pipe were identified and labeled using a vortex-tracking algorithm that was developed recently by the authors.

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Section: Number Density Of Turbulent Vorticessupporting

confidence: 63%

Section: Methodsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Number density of turbulent vortices in the entire energy spectrum

Ghasempour

Andersson

et al. 2014

AIChE Journal

Self Cite

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“…The strong impingement of the ETT-jet at the carina ridge of the main bronchi results in higher friction velocity leading to values of y+ > 1 at specific localized regions near the first bifurcation. y+ ranges from o.5 to 3 for LES has been reported in the literature Banerjee, 2015a, 2015b;Dehbi, 2011;Ghasempour et al, 2014). The mesh sensitivity was examined by computing the resolved turbulence kinetic energy as a percentage of the total energy at critical region in the domain.…”

Section: Model Reconstruction Computational Mesh and Numerical Methodsmentioning

confidence: 99%

Role of carrier gases in enhancement of gas exchange and aerosol–drug delivery under invasive high frequency oscillatory ventilation

Alzahrany

Banerjee

2015

Journal of Aerosol Science

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Mean drop size correlations and population balance models for liquid—liquid dispersion

2015

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Reliable models are required for accurate estimation of drop sizes which govern the interfacial area and rate of mass transfer in a system where various correlations and models have been improved for better accuracy and wider application breath. In this article, relevant semiempirical equations and population balance equation (PBE) models are reviewed. Semiempirical correlations are highly system dependent and limited to prediction of steady‐state drop size while PBE models could estimate transient drop size with considerations of inhomogeineity and flow spatial variation during drop size evolution. With appropriate model parameters determination, different PBE models can be used to reproduce experimental data for a similar system. © 2015 American Institute of Chemical Engineers AIChE J, 61: 1129–1145, 2015

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Multidimensional turbulence spectra – Statistical analysis of turbulent vortices

Cited by 22 publications

References 17 publications

Number density of turbulent vortices in the entire energy spectrum

Number density of turbulent vortices in the entire energy spectrum

Role of carrier gases in enhancement of gas exchange and aerosol–drug delivery under invasive high frequency oscillatory ventilation

Mean drop size correlations and population balance models for liquid—liquid dispersion

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