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Romit Maulik
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Journal Articles

Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification

Sudeepta Mondal, Gina M. Magnotti, Bethany Lusch, Romit Maulik, Roberto Torelli
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2023, 145(4): 041015.
Paper No: GTP-22-1451
https://doi.org/10.1115/1.4055777
Published Online: December 13, 2022
View Article titled, Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification
Open the PDF for Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification in another window
Topics: Design, Ejectors, Needles, Porosity, Simulation, Transients (Dynamics), Uncertainty, Uncertainty quantification, Spatiotemporal phenomena, Internal flow
Proceedings Papers

Machine Learning-Enabled Prediction of Transient Injection Map In Automotive Injectors With Uncertainty Quantification

Sudeepta Mondal, Gina M. Magnotti, Bethany Lusch, Romit Maulik, Roberto Torelli
Proc. ASME. ICEF2021, ASME 2021 Internal Combustion Engine Division Fall Technical Conference, V001T03A005, October 13–15, 2021
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2021-67888
https://doi.org/10.1115/ICEF2021-67888
View Paper titled, Machine Learning-Enabled Prediction of Transient Injection Map In Automotive Injectors With Uncertainty Quantification
Open the PDF for Machine Learning-Enabled Prediction of Transient Injection Map In Automotive Injectors With Uncertainty Quantification in another window
Topics: Ejectors, Machine learning, Machinery, Transients (Dynamics), Uncertainty quantification