Direct numerical simulation of ignition front propagation in a constant volume with temperature inhomogeneities

Chen, Jacqueline H.; Hawkes, Evatt R.; Sankaran, Ramanan; Mason, Scott D.; Im, Hong G.

doi:10.1016/j.combustflame.2005.09.017

Cited by 201 publications

(184 citation statements)

References 13 publications

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“…In a recent study, Chen et al, 30 present a two-dimensional DNS of autoignition at constant volume and high pressure of hydrogen-air described by detailed kinetics. The domain size was 4.1 mm × 4.1 mm, and the calculations required a grid resolution of ∆x = 4.30 × 10 −4 cm to resolve the ignition fronts, which is similar in magnitude to the finest length scale predicted here.…”

mentioning

confidence: 99%

Verified Computations of Laminar Premixed Flames

Al-Khateeb

Powers

Paolucci

2007

45th AIAA Aerospace Sciences Meeting and Exhibit

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The required spatial discretization to capture all detailed continuum physics in the reaction zone for one-dimensional steady laminar premixed hydrogen-air flames described by detailed kinetics and multi-component transport is accurately estimated a priori by a simple mean free path calculation. To verify this, a robust method has been developed to rigorously calculate the finest length scale a posteriori. The method reveals that the finest length scale is at the micron-level. This result is consistent with an estimate from the underlying molecular collision theory, and orders of magnitude smaller than the discretization scales employed in nearly all multi-dimensional and/or unsteady laminar premixed flame simulations in the literature.

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mentioning

confidence: 99%

Verified Computations of Laminar Premixed Flames

Al-Khateeb

Powers

Paolucci

2007

45th AIAA Aerospace Sciences Meeting and Exhibit

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“…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

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105

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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.

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“…The mass of the k th droplet in the neighborhood of the node is m k = ρ d πa k 3 /6 and, using equations (12) and (19), one may write: (21) Similarly, the following relation: (22) leads to the expression of the momentum source term:…”

Section: Eulerian/lagrangian Couplingmentioning

confidence: 99%

“…Since then, DNS of two-phase flows have been extended to incorporate two-way coupling effects, multicomponent fuels, ... but also to deal with spray evaporation and combustion phenomena [1,2,3,19,20]. At the same time, combustion kinetics has been extended from simple single-step chemistry [3] to skeletal mechanism [21,22,23] giving clues for the understanding of real complex configurations involving intricate coupling between evaporating droplets, turbulent fluid motion and combustion.…”

Section: Introductionmentioning

confidence: 99%

Examples of the Potential of DNS for the Understanding of Reactive Multiphase Flows

Réveillon

Pera

Bouali

2011

International Journal of Spray and Combustion Dynamics

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The objective of this article is to point out the ability of the multiphase flow DNS (Direct Numerical Simulation) to help to understand basic physics and to interpret some experimental observations. To illustrate the DNS' potential to give access to key phenomena involved in reactive multiphase flows, several recent results obtained by the authors are summed up with a bridge to experimental results. It includes droplet dispersion, laminar spray flame instability, spray combustion regimes or acoustic modulation effect on a two-phase flow Bunsen burner. As a perspective, two-phase flow DNS auto-ignition is considered thanks to a skeletal mechanism for the n-heptane chemistry involving 29 species and 52 reactions. Results highlight evaporating droplet effects on the auto-ignition process that is generally dramatically modified by spray distribution resulting from the turbulent fluid motion. This paper shows that DNS is a powerful tool to understand the intricate coupling between the evaporating spray, the turbulent fluid motion and the detailed chemistry, inseparable in the experimental context.

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Direct numerical simulation of ignition front propagation in a constant volume with temperature inhomogeneities

Cited by 201 publications

References 13 publications

Verified Computations of Laminar Premixed Flames

Verified Computations of Laminar Premixed Flames

Collecting Performance Data with PAPI-C

Examples of the Potential of DNS for the Understanding of Reactive Multiphase Flows

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