Papers matching “turbulent combustion modeling” 76
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A Reduced-order Multi-zone Combustion Model for Turbulent Reactive Sprays in Compression Ignition Engines2021 RWTH Publications (RWTH Aachen) article Chemical Engineering Advanced Combustion Engine Technologies Open access
Abhishek Y. Deshmukh, Temistocle Grenga, Marco Davidovic, Heinz G. Pitsch
0citations -
Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes2022 Combustion Science and Technology article Engineering Combustion and flame dynamics Open access
Temistocle Grenga, Ludovico Nista, Christoph Schumann, Gandolfo Scialabba, Antonio Attili, Heinz G. Pitsch
15citations -
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, +2 more
150citations -
A reduced-order model for turbulent reactive sprays in compression ignition engines2021 Combustion and Flame article Chemical Engineering Advanced Combustion Engine Technologies Open access
Abhishek Y. Deshmukh, Marco Davidovic, Temistocle Grenga, Raghavan Lakshmanan, Liming Cai, Heinz G. Pitsch
4citations -
Development of a 0D/1D Model System for the Cycle-to-Cycle Variation of High Tumble Spark Ignition Engines2024 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Chemical Engineering Advanced Combustion Engine Technologies
Ye Feng, Niklas Mirsch, Daniel Ismail Mir, André Casal Kulzer, Michael Grill, Fabian Steeger, +2 more
1citations -
Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
LES Modeling Study on Cycle-to-Cycle Variations in a DISI Engine2020 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Chemical Engineering Advanced Combustion Engine Technologies
Tobias Falkenstein, Marco Davidovic, Antonio Attili, Mathis Bode, Hongchao Chu, Seongwon Kang, +2 more
2citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations -
A Quasi-Dimensional Burn Rate Model for Pre-Chamber-Initiated Jet Ignition Combustion2023 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies
Francesco Salerno, Michael Bargende, André Casal Kulzer, Michael Grill, Patrick Burkardt, Marco Günther, +2 more
9citations -
A Quasi-Dimensional Two-System Burn Rate Model for Pre-Chamber-Initiated SACI Combustion2023 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies
Francesco Salerno, André Casal Kulzer, Michael Bargende, Michael Grill, Patrick Burkardt, Marco Günther, +1 more
2citations -
Data-driven modeling of resolved and filtered thermo-diffusively unstable hydrogen–air flames2024 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access
Arianna Remiddi, Pasquale Eduardo Lapenna, Davide Cavalieri, Davide Schintu, Giuseppe Indelicato, Antonio Attili, +3 more
6citations