LES-pdf simulation of a spark ignited turbulent methane jet

Jones, W.P.; Prasad, V.N.

doi:10.1016/j.proci.2010.06.076

Cited by 58 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examples of the LES implementation of the stochastic fields can be found in nonpremixed flames [1,5,44], lifted flames [2], spark-ignition [45,83] and spray flames [46,47].…”

Section: Stochastic Field Methodsmentioning

confidence: 99%

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

Dodoulas

Navarro‐Martinez

2013

Flow Turbulence Combust

View full text Add to dashboard Cite

Abstract. In the present study a Large Eddy Simulation and Filtered Density Function model is applied to three premixed piloted turbulent methane flames at different Reynolds Numbers using the Eulerian stochastic fields approach. The model is able to reproduce the flame structure and flow characteristics with a low number of fields (between 4 and 16 fields). The results show a good agreement with experimental data with the same closures employed in non-premixed combustion without any adjustment for combustion regime. The effect of heat release on the flow field is captured correctly. A wide range of sensitivity studies is carried out, including the number of fields, the chemical mechanism, differential diffusion effects and micro-mixing closures. The present work shows that premixed combustion (at least in the conditions under study) can be modelled using LES-PDF methods.. Finally, the ability of the model to predict flame quenching is studied. The model can accurate capture the conditions at which combustion is not sustainable and large pockets of extinction appear.

show abstract

“…Examples of the LES implementation of the stochastic fields can be found in nonpremixed flames [1,5,44], lifted flames [2], spark-ignition [45,83] and spray flames [46,47].…”

Section: Stochastic Field Methodsmentioning

confidence: 99%

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

Dodoulas

Navarro‐Martinez

2013

Flow Turbulence Combust

View full text Add to dashboard Cite

show abstract

“…The resulting closed form of the pdf equation is then solved using the Eulerian stochastic fields, which has been implemented in the block-structured finite-volume code BOFFIN-LES. The pdf and stochastic field method do not involve any assumptions related to any particular combustion regime and the method has previously successfully been applied to a range of non-premixed, partially premixed and fully premixed flames including, for example, auto-ignition [9], the Sandia Flame Series [10], spark ignition [11], partially premixed combustion [12] and recently to an industrial gas-turbine [13].…”

Section: Introductionmentioning

confidence: 99%

LES of the Cambridge Stratified Swirl Burner using a Sub-grid pdf Approach

Brauner

Jones

Marquis

2016

Flow Turbulence Combust

View full text Add to dashboard Cite

The sub-grid scale probability density function equation is rearranged in order to separate the resolved and sub-grid-scale (sgs) contributions to the sgs mixing term. This allows modelling that is consistent with the limiting case of negligible sub-grid scale variations, a property required for applications to laboratory premixed flames. The new method is applied to the Cambridge Stratified Swirl Burner for 6 operating conditions, 2 isothermal and 4 burning, with varying degrees of swirl and mixture stratification. The simulations are performed with the Large Eddy Simulation (LES) code BOFFIN in which the modelled pdf transport equation is solved using the Eulerian stochastic field method. Eight stochastic fields are used to account for the influence of the sub-grid fluctuations and the chemistry is modelled with a reduced version of the GRI 3.0 mechanism for methane involving 19 species and 15 reaction steps. The simulated velocities for both the isothermal and burning cases show good agreement with the experimental data. The measured temperature and major species profiles are also reproduced to a good accuracy.

show abstract

“…In the stochastic solution scheme for the joint scalar-number density pdf, we invoke eight realizations of the stochastic field process [28,29]. Considering a turbulent diffusion flame, Mustata et al [46] computed results also using sixteen stochastic fields, but found that the changes in the temporal averages and the temporal root mean square (rms) deviations of the major scalars are very small.…”

Section: Numerical Solution Schemementioning

confidence: 99%

An LES-PBE-PDF approach for modeling particle formation in turbulent reacting flows

Sewerin

Rigopoulos

2017

Physics of Fluids

View full text Add to dashboard Cite

Many chemical and environmental processes involve the formation of a polydispersed particulate phase in a turbulent carrier flow. Frequently, the immersed particles are characterized by an intrinsic property such as the particle size and the distribution of this property across a sample population is taken as an indicator for the quality of the particulate product or its environmental impact.In the present article, we propose a comprehensive model and an efficient numerical solution scheme for predicting the evolution of the property distribution associated with a polydispersed particulate phase forming in a turbulent reacting flow. Here, the particulate phase is described in terms of the particle number density whose evolution in both physical and particle property space is governed by the population balance equation (PBE). Based on the concept of large eddy simulation (LES), we augment the existing LES-transported PDF approach for fluid phase scalars by the particle number density and obtain a modelled evolution equation for the filtered probability density function (PDF) associated with the instantaneous fluid composition and particle property distribution. This LES-PBE-PDF approach allows us to predict the LES-filtered fluid composition and particle property distribution at each spatial location and point in time without any restriction on the chemical or particle formation kinetics. In view of a numerical solution, we apply the method of Eulerian stochastic fields, invoking an explicit adaptive grid technique in order to discretize the stochastic field equation for the number density in particle property space. In this way, sharp moving features of the particle property distribution can be accurately resolved at a significantly reduced computational cost.As a test case, we consider the condensation of an aerosol in a developed turbulent mixing layer. Our investigation not only demonstrates the predictive capabilities of the LES-PBE-PDF model, but also indicates the computational efficiency of the numerical solution scheme.

show abstract

LES-pdf simulation of a spark ignited turbulent methane jet

Cited by 58 publications

References 29 publications

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

LES of the Cambridge Stratified Swirl Burner using a Sub-grid pdf Approach

An LES-PBE-PDF approach for modeling particle formation in turbulent reacting flows

Contact Info

Product

Resources

About