Model reduction in chemical dynamics: slow invariant manifolds, singular perturbations, thermodynamic estimates, and analysis of reaction graph
AN Gorban - Current Opinion in Chemical Engineering, 2018 - Elsevier
The paper has two goals:(1) It presents basic ideas, notions, and methods for reduction of
reaction kinetics models: quasi-steady-state, quasi-equilibrium, slow invariant manifolds …
reaction kinetics models: quasi-steady-state, quasi-equilibrium, slow invariant manifolds …
Laminar flame speeds of methane/air mixtures at engine conditions: Performance of different kinetic models and power-law correlations
The laminar flame speed is an important input in turbulent premixed combustion modelling
of spark ignition engines. At engine-relevant temperatures and pressures, its measurement …
of spark ignition engines. At engine-relevant temperatures and pressures, its measurement …
Plasma-based global pathway analysis to understand the chemical kinetics of plasma-assisted combustion and fuel reforming
Abstract The Global Pathway Analysis (GPA) algorithm helps analyze the chemical kinetics
of complex combustion systems by identifying important global reaction pathways …
of complex combustion systems by identifying important global reaction pathways …
Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type—An artificial neural network …
Simple Summary The artificial neural network (ANN) model was developed to predict and
optimize the aniseed parameters including: plant height, umbel diameter, number of umbels …
optimize the aniseed parameters including: plant height, umbel diameter, number of umbels …
Construction of a skeletal oxidation mechanism of n-pentanol by integrating decoupling methodology, genetic algorithm, and uncertainty quantification
Pentanol has attracted increasing attentions in recent years due to its ability to reduce the
pollution emissions of engines and the dependence on fossil fuels. A skeletal oxidation …
pollution emissions of engines and the dependence on fossil fuels. A skeletal oxidation …
Measurement of methane autoignition delays in carbon dioxide and argon diluents at high pressure conditions
The directly fired supercritical carbon dioxide (sCO 2) power cycle has high efficiency while
allowing nearly complete carbon dioxide (CO 2) capture. The operating conditions of sCO 2 …
allowing nearly complete carbon dioxide (CO 2) capture. The operating conditions of sCO 2 …
Machine learning tabulation of thermochemistry for turbulent dimethyl ether (DME) flames
The present work applies a machine learning tabulation methodology for the
thermochemistry of dimethyl ether (DME), a typical biodiesel fuel, to accelerate the real-time …
thermochemistry of dimethyl ether (DME), a typical biodiesel fuel, to accelerate the real-time …
A robust reacting flow solver with computational diagnostics based on OpenFOAM and Cantera
In this study, we developed a new reacting flow solver based on OpenFOAM (OF) and
Cantera, with the capabilities of (i) dealing with detailed species transport and chemistry,(ii) …
Cantera, with the capabilities of (i) dealing with detailed species transport and chemistry,(ii) …
Automated Generation of a Compact Chemical Kinetic Model for n-Pentane Combustion
We have employed automated mechanism generation tools to construct a detailed chemical
kinetic model for combustion of n-pentane, as a step toward the generation of compact …
kinetic model for combustion of n-pentane, as a step toward the generation of compact …