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Journal Articles

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Michael McCartney, Ushnish Sengupta, Matthew Juniper

J. Eng. Gas Turbines Power. January 2022, 144(1): 011012.

Paper No: GTP-21-1377

DOI: https://doi.org/10.1115/1.4052145

Published Online: October 13, 2021

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Topics: Artificial neural networks, Combustion, Combustion chambers, Combustion systems, Engineering prototypes, Errors, Pressure, Probability, Signals, Uncertainty

Proceedings Papers

Inverse Problems in Magnetic Resonance Velocimetry: Shape, Forcing and Boundary Condition Inference

Alexandros Kontogiannis, Matthew Juniper

Proc. ASME. FEDSM2021, Volume 2: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V002T04A018, August 10–12, 2021

Paper No: FEDSM2021-66080

DOI: https://doi.org/10.1115/FEDSM2021-66080

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Topics: Boundary-value problems, Inverse problems, Magnetic resonance, Shapes, Algorithms, Creeping flow, Flow (Dynamics), Signal to noise ratio, Variational techniques

Proceedings Papers

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Michael McCartney, Ushnish Sengupta, Matthew Juniper

Proc. ASME. GT2021, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A042, June 7–11, 2021

Paper No: GT2021-60283

DOI: https://doi.org/10.1115/GT2021-60283

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Topics: Artificial neural networks, Combustion, Pressure, Uncertainty, Hidden variables, Combustion chambers, Combustion systems, Emissions, Errors, Wall temperature

Proceedings Papers

The Identification and Prediction of Helical Modes Induced by a Multi-Passage Swirl Stabilised Lean Burn Aero-Engine Fuel Injector Under Steady State and Acoustically Forced Conditions

Nicholas C. W. Treleaven, Jialin Su, Andrew Garmory, Gary J. Page, Matthew Juniper

Proc. ASME. GT2018, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A038, June 11–15, 2018

Paper No: GT2018-75552

DOI: https://doi.org/10.1115/GT2018-75552

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Topics: Acoustics, Aircraft engines, Fuel injectors, Steady state, Waves, Flow (Dynamics), Stability, Computational fluid dynamics, Ejectors, Fluctuations (Physics)

Journal citation

NARROW

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Inverse Problems in Magnetic Resonance Velocimetry: Shape, Forcing and Boundary Condition Inference

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

The Identification and Prediction of Helical Modes Induced by a Multi-Passage Swirl Stabilised Lean Burn Aero-Engine Fuel Injector Under Steady State and Acoustically Forced Conditions

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Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Inverse Problems in Magnetic Resonance Velocimetry: Shape, Forcing and Boundary Condition Inference

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

The Identification and Prediction of Helical Modes Induced by a Multi-Passage Swirl Stabilised Lean Burn Aero-Engine Fuel Injector Under Steady State and Acoustically Forced Conditions

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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