Structure of a spatially developing turbulent lean methane–air Bunsen flame

Sankaran, Ramanan; Hawkes, Evatt R.; Chen, Jacqueline H.; Lu, Tianfeng; Law, Chung K.

doi:10.1016/j.proci.2006.08.025

Cited by 341 publications

(243 citation statements)

References 24 publications

Supporting

Mentioning

226

Contrasting

Order By: Relevance

“…The flame is similar to the flames studied by Filatyev et al [9], Bell et al [10], and Sankaran et al [11], with parameters somewhat altered in our case, to enable direct numerical simulation (DNS) with moderate computational effort. Both LES and DNS in the present paper assume flamelet chemistry, but unlike LES, the DNS resolves both flame thickness and turbulence down to the Kolmogorov length-scale.…”

Section: Introductionsupporting

confidence: 54%

“…Some premixed jet flames in industry also operate at a high temperature. The simulation has been inspired by the DNS performed by Sankaran et al [11], who simulated a similar flame with detailed chemistry, using 5,000 processors. To diminish the computational demand of the DNS significantly, we choose to model the chemistry with a premixed flamelet.…”

Section: Direct Numerical Simulationmentioning

confidence: 99%

“…This does not necessarily mean that the LES becomes almost as expensive as the DNS; compared to the present DNS, LES reduces the cost with more than three orders of magnitude, which is substantial. It is remarked that the Karlovitz number of the present Bunsen flame is still below the upper limit of the thin reaction zone, such that the flamelet approximation is likely to be justified [11]. LES tests for a filter width significantly larger than the flame thickness are considered in a follow-up paper [42].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Subgrid Scale Modeling in Large-Eddy Simulation of Turbulent Combustion Using Premixed Flamelet Chemistry

Vreman

Oijen

Goey

et al. 2008

Flow Turbulence Combust

View full text Add to dashboard Cite

Large-eddy simulation (LES) of turbulent combustion with premixed flamelets is investigated in this paper. The approach solves the filtered NavierStokes equations supplemented with two transport equations, one for the mixture fraction and another for a progress variable. The LES premixed flamelet approach is tested for two flows: a premixed preheated Bunsen flame and a partially premixed diffusion flame (Sandia Flame D). In the first case, we compare the LES with a direct numerical simulation (DNS). Four non-trivial models for the chemical source term are considered for the Bunsen flame: the standard presumed beta-pdf model, and three new propositions (simpler than the beta-pdf model): the filtered flamelet model, the shift-filter model and the shift-inversion model. A priori and a posteriori tests are performed for these subgrid reaction models. In the present preheated Bunsen flame, the filtered flamelet model gives the best results in a priori tests. The LES tests for the Bunsen flame are limited to a case in which the filter width is only slightly larger than the flame thickness. According to the a posteriori tests the three models (beta-pdf, filtered flamelet and shift-inversion) show more or less the same results as the trivial model, in which subgrid reaction effects are ignored, while the shift-filter model leads to worse results. Since LES needs to resolve the large turbulent eddies, the LES filter width is bounded by a maximum. For the present Bunsen flame this means that the filter width should be of the order of the flame thickness or smaller. In this regime, the effects of subgrid reaction and subgrid flame wrinkling turn out to be quite modest. The LES-results of the second case (Sandia Flame D) are compared to experimental data. Satisfactory agreement is obtained for the main species. Comparison is made between different eddy-viscosity models for the subgrid turbulence, and the Smagorinsky eddy-viscosity is found to give worse results than eddy-viscosities that are not dominated by the mean shear.

show abstract

Section: Introductionsupporting

confidence: 54%

Section: Direct Numerical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Subgrid Scale Modeling in Large-Eddy Simulation of Turbulent Combustion Using Premixed Flamelet Chemistry

Vreman

Oijen

Goey

et al. 2008

Flow Turbulence Combust

View full text Add to dashboard Cite

show abstract

“…Simulations using DRM-19 for a variety of experimental configuration have been presented in [6,7]. Sankaran et al [8] performed a DNS of the lean premixed preheated methane flame stabilised on a slot burner using a skeletal mechanism with 13 species derived from GRIMech 1.2. More recently, Aspden et al [9] and Carlsson et 25 al.…”

mentioning

confidence: 99%

Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Aspden

Day

Bell

2016

Combustion and Flame

103

View full text Add to dashboard Cite

“…The massively parallel direct numerical simulation (DNS) solver (S3D) -developed at Sandia National Laboratories -solves the full compressible Navier-Stokes, total energy, species, and mass continuity equations coupled with detailed chemistry [17,18,19]. The application was run in SMP (one core per node) as well as VN mode (four cores per node) on Jaguar.…”

Section: Multi-core Performance Measurementmentioning

confidence: 99%

Collecting Performance Data with PAPI-C

Terpstra

Jagode²,

You³

et al. 2010

Tools for High Performance Computing 2009

256

105

View full text Add to dashboard Cite

Modern high performance computer systems continue to increase in size and complexity. Tools to measure application performance in these increasingly complex environments must also increase the richness of their measurements to provide insights into the increasingly intricate ways in which software and hardware interact. PAPI (the Performance API) has provided consistent platform and operating system independent access to CPU hardware performance counters for nearly a decade. Recent trends toward massively parallel multi-core systems with often heterogeneous architectures present new challenges for the measurement of hardware performance information, which is now available not only on the CPU core itself, but scattered across the chip and system. We discuss the evolution of PAPI into Component PAPI, or PAPI-C, in which multiple sources of performance data can be measured simultaneously via a common software interface. Several examples of components and component data measurements are discussed. We explore the challenges to hardware performance measurement in existing multi-core architectures. We conclude with an exploration of future directions for the PAPI interface.

show abstract

Structure of a spatially developing turbulent lean methane–air Bunsen flame

Cited by 341 publications

References 24 publications

Subgrid Scale Modeling in Large-Eddy Simulation of Turbulent Combustion Using Premixed Flamelet Chemistry

Subgrid Scale Modeling in Large-Eddy Simulation of Turbulent Combustion Using Premixed Flamelet Chemistry

Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Collecting Performance Data with PAPI-C

Contact Info

Product

Resources

About