Your English writing platform
Discover LudwigExact(1)
This represents the first study where the M1 method was applied to a combustion problem occurring in a complex three-dimensional geometry.
Similar(59)
This paper presents a posteriori validation of the solution of a turbulent combustion problem based on the transport of principal components (PCs).
Similar behavior was reported by Colella, Majda, and Roytburd (SIAM J. Sci. Stat. Comput.7, 1059 (1986)) on a model combustion problem.
Numerical experiments performed for non-reacting gas gas and liquid gas shock bubble interactions as well as for a model combustion problem demonstrate the combination of DEM/RDEM with UDCS yields excellent robustness/accuracy properties.
The numerical performance of the new particle tracing scheme and the solution procedure are illustrated by considering a turbulent heat transfer problem in a parallel channel and a turbulent diffusion combustion problem in a cylindrical combustor.
The present study concerns the homogenization and fingering instability of a microgravity smoldering combustion problem with radiative heat transfer.
The good performance of the numerical algorithm is illustrated by solving a canonical laminar combustion problem: the flame/vortex interaction.
The tests are incompressible flow in a human respiratory system, low Mach combustion problem in a kiln furnace, and coupled electro-mechanical contraction of the heart.
For efficient estimation in a practical diffusion-controlled turbulent combustion problem, the repulsive particle swarm optimization (RPSO) method is implemented as an inverse solver which belongs to the class of stochastic evolutionary global optimization methods.
The emphasis in this paper is on presenting a new methodology, together with some illustrative applications, for the study of polycyclic aromatic hydrocarbon polymerization leading to soot, widely recognized as a very important and challenging combustion problem.
We compare the accuracy and efficiency of a variety of methods when applied to this combustion problem.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com