[HTML][HTML] Combustion machine learning: Principles, progress and prospects
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
Synergistic interactions of thermodiffusive instabilities and turbulence in lean hydrogen flames
Interactions of thermodiffusive instabilities and turbulence have been investigated by large-
scale Direct Numerical Simulations (DNS) in this work. Two DNS of turbulent premixed lean …
scale Direct Numerical Simulations (DNS) in this work. Two DNS of turbulent premixed lean …
Intrinsic instabilities in premixed hydrogen flames: Parametric variation of pressure, equivalence ratio, and temperature. part 1-dispersion relations in the linear regime
The impact of intrinsic combustion instabilities is studied for lean premixed hydrogen flames
by means of a series of simulations at different equivalence ratios [0.4-1.0], unburned …
by means of a series of simulations at different equivalence ratios [0.4-1.0], unburned …
A component library framework for deriving kinetic mechanisms for multi-component fuel surrogates: Application for jet fuel surrogates
Surrogate fuels are often used in place of real fuels in computational combustion studies.
However, many different choices of hydrocarbons to make up surrogate mixtures have been …
However, many different choices of hydrocarbons to make up surrogate mixtures have been …
Coupling an LES approach and a soot sectional model for the study of sooting turbulent non-premixed flames
Due to their negative impacts on environment and human health, future regulations on soot
emissions are expected to become stricter, in particular by controlling the size of the emitted …
emissions are expected to become stricter, in particular by controlling the size of the emitted …
Model identification in reactor-based combustion closures using sparse symbolic regression
Abstract In Large Eddy Simulations (LES) of combustion, the accuracy of predictions might
be heavily affected by deficiencies in traditional/simplified closure models, especially when …
be heavily affected by deficiencies in traditional/simplified closure models, especially when …
Soot modeling in turbulent diffusion flames: review and prospects
S Valencia, S Ruiz, J Manrique, C Celis… - Journal of the Brazilian …, 2021 - Springer
This work reviews the state of the art of the main soot modeling approaches used in
turbulent diffusion flames. Accordingly, after a short introduction about the subject addressed …
turbulent diffusion flames. Accordingly, after a short introduction about the subject addressed …
On the statistics of flame stretch in turbulent premixed jet flames in the thin reaction zone regime at varying Reynolds number
Abstract Direct Numerical Simulations (DNS) are conducted to study the statistics of flame
surface stretch in turbulent jet premixed flames. Emphasis is placed on the rates of surface …
surface stretch in turbulent jet premixed flames. Emphasis is placed on the rates of surface …
[HTML][HTML] Soot particle size distribution reconstruction in a turbulent sooting flame with the split-based extended quadrature method of moments
The Method of Moments (MOM) has largely been applied to investigate sooting laminar and
turbulent flames. However, the classical MOM is not able to characterize a continuous …
turbulent flames. However, the classical MOM is not able to characterize a continuous …
[HTML][HTML] Modelling of soot aerosol dynamics in turbulent flow
S Rigopoulos - Flow, Turbulence and Combustion, 2019 - Springer
Aerosol dynamics plays an important role in the modelling of soot formation in combustion
processes, as it is responsible for predicting the distribution of size and shape of soot …
processes, as it is responsible for predicting the distribution of size and shape of soot …