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Kristyn B. Johnson
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Proceedings Papers

Consideration of Non-Ideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence

Kristyn B. Johnson, Donald H. Ferguson, Justin M. Weber, Andrew C. Nix
Proc. ASME. GT2023, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A012, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101128
https://doi.org/10.1115/GT2023-101128
View Paper titled, Consideration of Non-Ideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence
Open the PDF for Consideration of Non-Ideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence in another window
Topics: Chemiluminescence, Combustion, Engines, Explosions, Pressure, Water, Waves
Journal Articles

Consideration of Nonideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence

Kristyn B. Johnson, Donald H. Ferguson, Justin M. Weber, Andrew C. Nix
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2023, 145(11): 111002.
Paper No: GTP-23-1381
https://doi.org/10.1115/1.4063321
Published Online: September 14, 2023
View Article titled, Consideration of Nonideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence
Open the PDF for Consideration of Nonideal Detonation Regimes Influenced by Wave Modes in a Water-Cooled Rotating Detonation Engine Using OH* Chemiluminescence in another window
Topics: Combustion, Explosions, Waves, Chemiluminescence
Journal Articles

Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Toward Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine

Kristyn B. Johnson, Donald H. Ferguson, Andrew C. Nix
Journal: Journal of Thermal Science and Engineering Applications
Publisher: ASME
Article Type: Research Papers
J. Thermal Sci. Eng. Appl. June 2023, 15(6): 061011.
Paper No: TSEA-22-1304
https://doi.org/10.1115/1.4062182
Published Online: April 24, 2023
View Article titled, Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Toward Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine
Open the PDF for Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Toward Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine in another window
Topics: Artificial neural networks, Engines, Explosions, Probes, Time series, Waves
Proceedings Papers

Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Towards Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine

Kristyn B. Johnson, Donald H. Ferguson, Andrew C. Nix
Proc. ASME. GT2022, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A052, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-83401
https://doi.org/10.1115/GT2022-83401
View Paper titled, Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Towards Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine
Open the PDF for Use of Convolutional Neural Network Image Classification and High-Speed Ion Probe Data Towards Real-Time Detonation Characterization in a Water-Cooled Rotating Detonation Engine in another window
Topics: Artificial neural networks, Engines, Explosions, Machine learning, Probes, Water
Journal Articles

Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging

Kristyn B. Johnson, Donald H. Ferguson, Robert S. Tempke, Andrew C. Nix
Journal: Journal of Thermal Science and Engineering Applications
Publisher: ASME
Article Type: Research Papers
J. Thermal Sci. Eng. Appl. December 2021, 13(6): 061021.
Paper No: TSEA-20-1345
https://doi.org/10.1115/1.4049868
Published Online: April 19, 2021
View Article titled, Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging
Open the PDF for Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging in another window
Topics: Artificial neural networks, Explosions, Waves, Imaging, Annulus, Combustion chambers
Proceedings Papers

Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging

Kristyn B. Johnson, Donald H. Ferguson, Robert S. Tempke, Andrew C. Nix
Proc. ASME. GT2020, Volume 4B: Combustion, Fuels, and Emissions, V04BT04A020, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15676
https://doi.org/10.1115/GT2020-15676
View Paper titled, Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging
Open the PDF for Application of a Convolutional Neural Network for Wave Mode Identification in a Rotating Detonation Combustor Using High-Speed Imaging in another window
Topics: Artificial neural networks, Combustion chambers, Engines, Explosions, Imaging, Machine learning, Waves