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

By Ramanan Sankaran, Evatt R. Hawkes, Jacqueline H. Chen, Tianfeng Lu, Chung K. Law. 2007

415 citations recorded by the source corpus.

Subfields: Computational Mechanics, Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/cbec6633dfb4681afde938ad390a024ed9aa6e81

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Citations in the corpus

Collecting Performance Data with PAPI-C (2009, background): “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 [17–19].”
Terascale direct numerical simulations of turbulent combustion using S3D (2008, methodology): “Recently, S3D has been used to perform several hero simulations of combustion problems ranging from premixed flames (200 million grid points, 18 variables) [15], non-premixed flames (500 million grid points, 16 variables) [16], to lifted jet flames (1 billion grid points, 14 variables) [17].”
Three-dimensional direct numerical simulation of a turbulent lifted hydrogen jet flame in heated coflow: flame stabilization and structure (2009, methodology): “The velocity fluctuation u′ is obtained by generating an auxiliary homogeneous isotropic turbulence field based on a prescribed energy spectrum (Passot & Pouquet 1987) as in Yoo et al. (2005) and Sankaran et al. (2007).”
Turbulent flame–wall interaction: a direct numerical simulation study (2010, methodology): “To quantify the broadening of the instantaneous flame thickness, the gradient |∇C| of the reaction progress variable C is used as a measure of the flame thickness, where values above the reference laminar flame thickness indicate flame thinning and below represent broadening Sankaran et al. (2006).”