Shock tube studies of the N2O/CH4/CO/Ar and N2O/C2H6/CO/Ar systems

Dean, Anthony M.; Johnson, Ron L.

doi:10.1016/0010-2180(80)90079-6

Cited by 11 publications

(2 citation statements)

References 22 publications

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“…A large amount of thermokinetic and experimental data has appeared for this system in recent years. ,,,,− Table summarizes the most established, in our opinion, H 2 /CO reaction models with experimental validation data that have been used.…”

Section: Experimental Datamentioning

confidence: 99%

Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion

et al. 2017

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An automated data-centric infrastructure, Process Informatics Model (PrIMe), was applied to validation and optimization of a syngas combustion model. The Bound-to-Bound Data Collaboration (B2BDC) module of PrIMe was employed to discover the limits of parameter modifications based on uncertainty quantification (UQ) and consistency analysis of the model−data system and experimental data, including shock-tube ignition delay times and laminar flame speeds. Existing syngas reaction models are reviewed, and the selected kinetic data are described in detail. Empirical rules were developed and applied to evaluate the uncertainty bounds of the literature experimental data. The initial H 2 /CO reaction model, assembled from 73 reactions and 17 species, was subjected to a B2BDC analysis. For this purpose, a dataset was constructed that included a total of 167 experimental targets and 55 active model parameters. Consistency analysis of the composed dataset revealed disagreement between models and data. Further analysis suggested that removing 45 experimental targets, 8 of which were self-inconsistent, would lead to a consistent dataset. This dataset was subjected to a correlation analysis, which highlights possible directions for parameter modification and model improvement. Additionally, several methods of parameter optimization were applied, some of them unique to the B2BDC framework. The optimized models demonstrated improved agreement with experiments compared to the initially assembled model, and their predictions for experiments not included in the initial dataset (i.e., a blind prediction) were investigated. The results demonstrate benefits of applying the B2BDC methodology for developing predictive kinetic models.

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Section: Experimental Datamentioning

confidence: 99%

Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion

et al. 2017

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“…The third chemical mechanism, designated as the PPD mechanism [3,4] for convenience, was recently compiled and validated with available experimental data [4]. These experimental data have included flow reactor studies of H 2 -N 2 O-H 2 O-N 2 mixtures [1] and N 2 O decomposition [26]; flame speed studies of CO-N 2 O mixtures with added H 2 [27], recent flame speed studies for H 2 -, CH 4 -, C 2 H 2 -, and C 3 H 8 -N 2 O flames [3]; flame structure studies of NH 3doped H 2 -N 2 O flames [28], H 2 -CO-N 2 O-Ar flames [29], NH 3 -N 2 O flames [30], and recent NO profiles of N 2diluted, H 2 -N 2 O flames [4]; shock tube studies of N 2 O-CH 4 -CO-Ar [31]; and ignition delay studies of H 2 -N 2 O-Ar mixtures [32] and CH 4 -N 2 O-Ar mixtures [33][34][35]. Details of the development and composition of the mechanism can be found elsewhere [3,4].…”

Section: Mechanismmentioning

confidence: 99%

Flame Structure Measurements of Nitric Oxide in Hydrocarbon-Nitrous-Oxide Flames

Powell

Papas²

2012

Journal of Propulsion and Power

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Experimental NO flame profiles were measured for N 2 -diluted, CH 4 -, C 2 H 2 -, and C 3 H 8 -N 2 O premixed flames stabilized on a flat flame apparatus at stoichiometric proportions. The NO measurements were obtained using laserinduced fluorescence in the saturated region and calibrated by microprobe postflame sampling using Fourier transform infrared spectroscopy. These experimental data were compared to predictions using a burner-stabilized flame model using three different published chemical mechanisms. Compared to the Fourier transform infrared results, the NO model predictions using the chemical mechanisms varied depending on the mechanism and the fuel. For example, for the CH 4 flame, all three predictions fell within the Fourier transform infrared uncertainty, whereas only the Glarborg mechanism is within the Fourier transform infrared uncertainty for the C 2 H 2 flame. The normalized, spatial NO profile predictions for all three chemical mechanisms showed reasonable agreement with the normalized experimental NO profiles in the postflame region; however, there was appreciable disparity between the experimental and model predictions of the spatial location of the peak NO mole fraction above the burner surface. Sensitivity and rate-of-production analyses showed that NH x =NO chemical interactions are important to accurately model NO profiles in hydrocarbon-nitrous-oxide flames. The experimental data provided additional constraints for the rate constants of important NH x =N x H y chemical interactions, and some modifications were considered for improving comparisons between model predictions and experiments.

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Some elementary species (other than those containing carbon) involved in combustion

Hucknall

1985

Chemistry of Hydrocarbon Combustion

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Shock tube studies of the N2O/CH4/CO/Ar and N2O/C2H6/CO/Ar systems

Cited by 11 publications

References 22 publications

Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion

Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion

Flame Structure Measurements of Nitric Oxide in Hydrocarbon-Nitrous-Oxide Flames

Some elementary species (other than those containing carbon) involved in combustion

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