Achieving minimal levels of nitrogen oxides (NO x) during combustion is a major constraint
in the design of advanced high-efficiency engines. NO x can be formed during combustion of …

Abstract Development of probabilistic modelling tools to perform Bayesian inference and
uncertainty quantification (UQ) is a challenging task for practical hydrogen-enriched and low …

Ideally, nitric oxide (NO) production pathways would be measured individually to understand
the formation mechanisms at a fundamental level. Unfortunately, the four production routes …

As the foundation for detailed hierarchical combustion chemistry models, the accuracy of the
hydrogen oxidation mechanism is paramount to achieve truly predictive models. The recent …

Uncertainty quantification (UQ) is becoming an essential attribute for development of
computational tools in gas turbine combustion systems. Prediction of emissions with a …

Accurate low dimension chemical kinetic models for methane are an essential component in
the design of efficient gas turbine combustors. Kinetic models coupled to computational fluid …

Accurate predictions of nitrogen oxides (NO x) are crucial for the design of low-emissions
combustion technologies and require a truthful description of chemical kinetics and …

Measurements of how the flame speed in suspensions of metal fuels depends on the initial
temperature of the unburned mixture are important for understanding the role of mixture …

A robust and compact simplified chemical kinetics mechanism for methane oxidation is
newly developed based on the Directed Relation Graph with Error Propagation method …

Significant efforts made by the gas turbine industry have helped reduce nitrogen oxides (NO
x) emissions considerably. To meet and surpass the increasingly stringent regulations …