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Mechanism reduction has made the detailed kinetic modeling of combustion problems much easier; it also offers potential improvement of modeling accuracy and flexibility in comparison to global mechanisms.
The production processes of fine chemicals or other typical products of chemical industry often involve the same elementary reaction steps as used for the modeling of combustion phenomena.
The modeling of combustion chemistry is discussed, describing probability density function methods, the eddy dissipation method, radiation modeling and empirical techniques using regression analysis and neural networks.
Due to the relevant number of degree of freedom and to the non-linear coupling of different phenomena, the mathematical modeling of combustion instabilities is computationally heavy and may produce an unsatisfactory correspondence between simulated and experimental data.
The major advantage of these correlations is their capability to compute elemental components of biomass materials from the simple proximate analysis and thereby provides a useful tool for the modeling of combustion, gasification and pyrolysis processes.
The major advantage of this correlation is its capability to compute HHV of any fuel simply from its proximate analysis and thereby provides a useful tool for modeling of combustion, gasification and pyrolysis processes.
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He plans to test the algorithm next on models of combustion systems for supersonic jets.
The control law is synthesized based on a multiple-time-scale model of combustion dynamics.
Laboratory results interpreted and then included in CFD models of combustion operations are necessary.
The effect of various formation steps of NOx in combustion is considered via a phenomenological model of combustion speed.
These input uncertainties propagate through models of combustion devices leading to uncertainties in the prediction of key combustion properties.
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