This work presents sparse-Lagrangian simulations of a lifted hydrogen flame in a vitiated coflow of combustion products. An Eulerian Large Eddy Simulation generates turbulent flow field data including filtered velocity, density and a reference mixture fraction. A sparse ensemble of notional Lagrangian particles is then used to solve the Filtered Density Function for the subgrid reactive scalar quantities. A Generalised Multiple Mapping Conditioning (MMC) micro-mixing model enforces local mixing in extended space which comprises of physical space and the LES simulated reference mixture fraction. Predictions of lift-off, stabilisation and turbulent composition are obtained with as few as 23,000 Lagrangian particles while 1.9 million grid cell...
While hydrogen is attractive as a clean fuel, it poses a significant risk due to its highreactivity....
A new methodology for modeling and simulation of reactive flows is reported in which a 3D formulatio...
The focus of this thesis is to develop and implement a two-phase sparse-Lagrangian multiple mapping ...
This thesis presents an improved version of the Lagrangian multiple mapping conditioning model coupl...
Sparse-Lagrangian Multiple Mapping Conditioning (MMC) simulations are performed on a turbulent pilot...
Results from a study of turbulent lifted jet flame with conditional moment closure turbulent combust...
Results from a study of turbulent lifted jet flame with Conditional Moment Closure (CMC) turbulent ...
A lifted turbulent H-2/N-2 flame in a vitiated co-flow is studied using Large Eddy Simulation togeth...
Hydrogen (H2) enrichment of hydrocarbon fuels in lean premixed systems is desirable since it can lea...
Hydrogen (H2) enrichment of hydrocarbon fuels in lean premixed systems is desirable since it can lea...
A novel model, the hybrid RANS-LEM3D model, is applied to a lifted turbulent N 2 diluted hydrogen je...
The stabilization of lifted flames involves a complex competition between small-scale mixing and pro...
This paper reports on numerical investigations of preferential diffusion effects in Large Eddy Simul...
This work presents a direct and transparent interpretation of two concepts for modelling turbulent c...
In this study large eddy simulation (LES) technique has been used to predict the fuel variability ef...
While hydrogen is attractive as a clean fuel, it poses a significant risk due to its highreactivity....
A new methodology for modeling and simulation of reactive flows is reported in which a 3D formulatio...
The focus of this thesis is to develop and implement a two-phase sparse-Lagrangian multiple mapping ...
This thesis presents an improved version of the Lagrangian multiple mapping conditioning model coupl...
Sparse-Lagrangian Multiple Mapping Conditioning (MMC) simulations are performed on a turbulent pilot...
Results from a study of turbulent lifted jet flame with conditional moment closure turbulent combust...
Results from a study of turbulent lifted jet flame with Conditional Moment Closure (CMC) turbulent ...
A lifted turbulent H-2/N-2 flame in a vitiated co-flow is studied using Large Eddy Simulation togeth...
Hydrogen (H2) enrichment of hydrocarbon fuels in lean premixed systems is desirable since it can lea...
Hydrogen (H2) enrichment of hydrocarbon fuels in lean premixed systems is desirable since it can lea...
A novel model, the hybrid RANS-LEM3D model, is applied to a lifted turbulent N 2 diluted hydrogen je...
The stabilization of lifted flames involves a complex competition between small-scale mixing and pro...
This paper reports on numerical investigations of preferential diffusion effects in Large Eddy Simul...
This work presents a direct and transparent interpretation of two concepts for modelling turbulent c...
In this study large eddy simulation (LES) technique has been used to predict the fuel variability ef...
While hydrogen is attractive as a clean fuel, it poses a significant risk due to its highreactivity....
A new methodology for modeling and simulation of reactive flows is reported in which a 3D formulatio...
The focus of this thesis is to develop and implement a two-phase sparse-Lagrangian multiple mapping ...