2020
DOI: 10.2514/1.b37740
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High-Speed Diagnostics in a Natural Gas–Air Rotating Detonation Engine

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Cited by 52 publications
(4 citation statements)
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References 37 publications
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“…Finally, a power management study used Stochastic Adversarial Koopman Operator with Auxillary Neural Network for the quick learning of reduced order models that measure the state of charge of Lithium-ion batteries. Potentially applicable to some aircraft and specialized ground vehicles, one study used DMD in the diagnostics of natural gas rotating detonation engines [26].…”
Section: A General Studies Applicable To Vehiclesmentioning
confidence: 99%
“…Finally, a power management study used Stochastic Adversarial Koopman Operator with Auxillary Neural Network for the quick learning of reduced order models that measure the state of charge of Lithium-ion batteries. Potentially applicable to some aircraft and specialized ground vehicles, one study used DMD in the diagnostics of natural gas rotating detonation engines [26].…”
Section: A General Studies Applicable To Vehiclesmentioning
confidence: 99%
“…81,82 New research studies have emerged for experimenting with methane combustion at a higher-pressure, and/or under engine-relevant conditions. [83][84][85][86] As a subset of methane combustion chemistry, the pyrolytic reaction process is critical to predicting methane's combustion behavior and sooting propensity at fuel-rich conditions. Due to its importance, methane pyrolysis has also been extensively studied for many decades.…”
Section: Introductionmentioning
confidence: 99%
“…The research was aimed for landbased power generation systems and it was found that the characteristic exhaust velocity of the RDE could reach 97.5-99.5% of the theoretical value compared to the thermodynamic cycle of constant-volume combustion. In addition, Journell et al [12] analyzed the combustion process of the RDE operating at working conditions similar to gas turbines by means of chemiluminescence and particle image velocimetry (PIV). Goto et al [13] conducted a rocket sled test for the thrust performance assessment of an RDE with an inner diameter of 60.5 mm.…”
Section: Introductionmentioning
confidence: 99%