Abstract Conditional Source-term Estimation (CSE) is a turbulence–chemistry interaction
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …

Detailed chemistry tabulations are mostly based on reaction progress variables used to track
species evolutions along trajectories in composition space, which in some cases are …

For the first time, a double conditioned CSE formulation including two mixture fractions is
applied to model two Delft-Jet-in-Hot-Coflow (DJHC) flames in Large Eddy Simulation (LES) …

In this study, a global soot formation model based on the LSP (Laminar Smoke Point)
concept in combination with the soot oxidation model developed by Leung et al.[40] is …

A novel combustion modelling approach is proposed here to study the transient effects of
diesel spray. Conditional Source-term Estimation (CSE) is a combustion model which …

Abstract A Conditional Source-term Estimation (CSE) model is used to close the mean
reaction rates for a turbulent premixed flame. A product-based reaction progress variable is …

Approximate deconvolution and explicit filtering of scalar fields are used to construct a new
approach to sub-grid scale modeling in Large Eddy Simulation (LES) of premixed turbulent …

The objective of the present study is to evaluate the applicability of a new partially premixed
combustion model, Doubly Conditional Source-term Estimation (DCSE), applied to a series …

Conditional Source-term Estimation (CSE) is a closure model for turbulence–chemistry
interactions. This model uses the first-order CMC hypothesis to close the chemical reaction …

Data from the two different methane/air jet experimental databases is examined to
understand the effects of spatial variations in the conditional averages of reactive scalars in …