Forschung: - Soot Modelling

Lehre: - Numerische Strömungssimulation (Übungsassistent)

• G. Scialabba, A. Attili and H. Pitsch. Influence of soot oxidation reaction time scale on soot break-through. Proceedings of the 12th European Combustion Meeting, April 7-10, Edinburgh (Scotland), UK, 2025.
• Gandolfo Scialabba, Marco Davidovic, Antonio Attili and Heinz Pitsch. Direct numerical simulation of soot break-through in turbulent non-premixed flames. Combustion and Flame, vol. 275, page 114093, 2025. [DOI]
• K. Niemietz, G. Scialabba and H. Pitsch. Prediction of Gas Turbine Emissions II. The FVV Transfer + Networking Event, Würzburg, 2024.
• Gandolfo Scialabba, Antonio Attili and Heinz Pitsch. SootDNS: Soot oxidation and break-through in turbulent non-premixed jet flames. , 10 2024.
• G. Scialabba, A. Attili and H. Pitsch. Soot break-through in turbulent non-premixed jet flames. International Sooting Flame Workshop, July 20-21, Milan, Italy, 2024.
• G. Scialabba, A. Attili, F. Loffredo and H. Pitsch. Study on soot oxidation and leakage in turbulent non-premixed jet flames. In 19th International Conference on Numerical Combustion, 2024.
• G. Scialabba, A. Attili, L. Berger and H. Pitsch. SootDNS: Studying soot oxidation based on direct numerical simulation of a turbulent non-premixed ethylene/air jet flame. HLRS Annual Review Workshop, Stuttgart, 2023.
• Gandolfo Scialabba and Kai Niemietz. Prediction of Gas Turbine Emissions. The FVV Transfer + Networking Event, Würzburg March 2023, 2023.
• Carson Chu, Gandolfo Scialabba, Peng Liu, Raul Serrano Bayona, Faruk Y. Aydin, Heinz Pitsch and William L. Roberts. Effects of Ammonia Substitution in the Fuel Stream and Exhaust Gas Recirculation on Extinction Limits of Non premixed Methane– and Ethylene–Air Counterflow Flames. Energy & Fuels, vol. 37 no. 18, pages 14393-14403, 2023. [DOI]
• G. Scialabba, A. Attili, L. Berger and H. Pitsch. Direct numerical simulation of soot oxidation in a three-dimensional turbulent non-premixed ethylene jet flame. 18th International Conference on Numerical Combustion, 2022.
• T. Grenga, L. Nista, C. Schumann, A. N. Karimi, G. Scialabba, A. Attili and H. Pitsch. Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes. Combustion Science and Technology, vol. 195 no. 15, pages 3923-3946, 03 2022. [DOI]
• L. Nista, C.D.K Schumann, G. Scialabba, T. Grenga, A. Attili and H. Pitsch. The influence of adversarial training on turbulence closure modelling. AIAA SciTech 2022 Forum, 4-9 January 2022, 2022.
• T. Grenga, L. Nista, C. D. K. Schumann, A. N. Karimi, G. Scialabba, M. Bode, A. Attili and H. Pitsch. Predictive data driven turbulence-combustion model through Super Resolution Generative Adversarial Network. In Proceedings of the 10th European Combustion Meeting, April 14-15, Naples (Italy) / Online, 2021.
• L. Nista, C. D. K. Schumann, T. Grenga, A. N. Karimi, G. Scialabba, M. Bode, A. Attili and H. Pitsch. Turbulent mixing predictive model with physics-based Generative Adversarial Network. In Proceedings of the 10th European Combustion Meeting, April 14-15, Naples (Italy) / Online, 2021.
• A. Attili, N. Sorace, L. Nista, C. Schumann, A. Karimi, G. Scialabba, T. Grenga and H. Pitsch. Investigation of the Extrapolation Performance of Machine Learning Models for LES of Turbulent Premixed Combustion. In Proceedings of the 10th European Combustion Meeting, April 14-15, Naples (Italy) / Online, 2021.
• G. Scialabba, R. Langer, A. Attili, L. Berger and H. Pitsch. The relevance of soot diffusion in counterflow laminar flame configurations. In Proceedings of the 10th European Combustion Meeting, April 14-15, Naples (Italy) / Online, 2021.