1-4 of 4
S. Holz
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning

G. Chaussonnet, S. Gepperth, S. Holz, R. Koch, H.-J. Bauer
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. July 2021, 143(7): 071006.
Paper No: GTP-20-1754
https://doi.org/10.1115/1.4049911
Published Online: March 29, 2021
View Article titled, Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning
Open the PDF for Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning in another window
Topics: Artificial neural networks, Drops, Errors, Surface mount devices, Databases, Sprays, Shapes, Architecture, Deformation
Proceedings Papers

Finding the Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning

G. Chaussonnet, S. Gepperth, S. Holz, R. Koch, H.-J. Bauer
Proc. ASME. GT2020, Volume 4B: Combustion, Fuels, and Emissions, V04BT04A055, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16172
https://doi.org/10.1115/GT2020-16172
View Paper titled, Finding the Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning
Open the PDF for Finding the Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning in another window
Topics: Artificial neural networks, Architecture, Drops, Shapes, Testing, Computers, Databases, Deformation, Errors, Fittings
Proceedings Papers

Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field

G. Chaussonnet, A. Müller, S. Holz, R. Koch, H.-J. Bauer
Proc. ASME. GT2017, Volume 4A: Combustion, Fuels and Emissions, V04AT04A002, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-63041
https://doi.org/10.1115/GT2017-63041
View Paper titled, Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field
Open the PDF for Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field in another window
Topics: Air flow, Surface mount devices, Calibration, Computational fluid dynamics, Flow (Dynamics), Low-pass filters, Dynamics (Mechanics), Phase shift, Robustness, Simulation
Journal Articles

Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field

G. Chaussonnet, A. Müller, S. Holz, R. Koch, H.-J. Bauer
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. December 2017, 139(12): 121501.
Paper No: GTP-17-1296
https://doi.org/10.1115/1.4037325
Published Online: August 16, 2017
View Article titled, Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field
Open the PDF for Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field in another window
Topics: Calibration, Flow (Dynamics), Sprays, Surface mount devices, Air flow, Drops, Steady state, Computational fluid dynamics, Phase shift