Prof. Dr. Marcello Righi

Netzwerk

Mitglied in Netzwerken

• AIAA Member
• Developers of the Edge Software platform (CFD)
• arXiv.org e-Print archive
• Clean Sky 1 and 2 Expert Research Assessor
• Schweizerische Vereinigung fuer Flugwissenschaften SVFW

Projekte

• S.K.Y.S.A.F.E. – Skalierbare Wissensgewinnung für die Sicherheitsbewertung in Flugumgebungen / Projektleiter:in / laufend
• Drakonische Drohnenflugbahn und Kontrolloptimisation zur Reduzierung der Lärmemissionen / Projektleiter:in / abgeschlossen
• Eindämmung des akustischen Fussabdrucks von Drohnen durch Konfigurationsoptimierung / Projektleiter:in / abgeschlossen
• Digital Transformation – Case Studies for Aviation Safety Standards – Modelling and Simulation / Teammitglied / abgeschlossen
• Multi-Disciplinary Optimisation / Projektleiter:in / abgeschlossen
• TwingTec IV: TT1000 Wind Energie Drone Entwicklung / Teammitglied / abgeschlossen
• Multidisziplinäre Optimierung eines Axialventilators für Wärmepumpen / Projektleiter:in / abgeschlossen
• NEAPTIDE: Numerische Vorhersage und experimentelle Auswertung von Drohnenlärm / Projektleiter:in / abgeschlossen
• Evaluation eines Machine Learning Tools in der Mechanik / Projektleiter:in / abgeschlossen
• EnGoP - Entwicklung einer neuen Generation optimierter Kolbenpumpen / Teammitglied / abgeschlossen
• CVE Pilatus / Projektleiter:in / abgeschlossen
• High-Fidelity Aeroelastic Prediction / Projektleiter:in / abgeschlossen
• ATPL(H) / Projektleiter:in / abgeschlossen
• Research on a Cruiser Enabled Air Transport Environment / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Immordino, G., Vaiuso, A., Ronch, A. D., & Righi, M. (2025). Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting. Aerospace Science and Technology, 165(110516). https://doi.org/10.1016/j.ast.2025.110516
• Immordino, G., Da Ronch, A., & Righi, M. (2025). Parametric nonlinear Volterra series via machine learning : transonic aerodynamics. Journal of Aircraft. https://doi.org/10.2514/1.c038288
• Vaiuso, A., Immordino, G., Righi, M., & Da Ronch, A. (2025). Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning. Aerospace Science and Technology, 163(110301). https://doi.org/10.1016/j.ast.2025.110301
• Immordino, G., Vaiuso, A., Da Ronch, A., & Righi, M. (2025). Predicting transonic flowfields in non–homogeneous unstructured grids using autoencoder graph convolutional networks. Journal of Computational Physics, 524(113708). https://doi.org/10.1016/j.jcp.2024.113708
• Da Ronch, A., Ventura, A., Righi, M., Franciolini, M., Berci, M., & Kharlamov, D. (2018). Extension of analytical indicial aerodynamics to generic trapezoidal wings in subsonic flow. Chinese Journal of Aeronautics, 31(4), 617–631. https://doi.org/10.1016/j.cja.2018.02.008
• Righi, M. (2016). A gas-kinetic scheme for turbulent flow. Flow, Turbulence and Combustion, 97(1), 121–139. https://doi.org/10.1007/s10494-015-9677-2
• Righi, M. (2014). A modified gas-kinetic scheme for turbulent flow. Communications in Computational Physics, 16(1), 239–263. https://doi.org/10.4208/cicp.140813.021213a
• Righi, M. (2013). A finite-volume gas-kinetic method for the solution of the Navier-Stokes equations. The Aeronautical Journal, 117(1191), 605–616. https://doi.org/10.1017/S000192400000823X

Schriftliche Konferenzbeiträge, peer-reviewed

• Pedrioli, A., Vaiuso, A., Pedrazzini, N., Coretti, O., Sanchez, E. G., Pinsard, L., Gomes, J., Capone, P., & Righi, M. (2026). Flight simulation model of a multi-fidelity digital twin of an eVTOL drone. CEAS Aeronautical Journal. https://doi.org/10.1007/s13272-026-00961-3
• Candon, M. J., Tohmuang, S., Delgado-Gutiérrez, A. J., Marzocca, P., Antonini, D., Coppotelli, G., & Righi, M. (2026, January 8). High-fidelity aeroelastic predictions of a very flexible wing. AIAA SCITECH 2026 Forum. https://doi.org/10.2514/6.2026-1056
• Clifford, D., Da Ronch, A., & Righi, M. (2025, July 16). On flutter and limit cycle oscillation envelope of the pazy wing using a reduced order model. AIAA AVIATION Forum and ASCEND 2025. https://doi.org/10.2514/6.2025-3768
• Massegur Sampietro, D., Immordino, G., Vaiuso, A., Da Ronch, A., & Righi, M. (2025, January 3). Graph-convolutional autoencoder frameworks for aerodynamic shape predictions of the Agard wing. AIAA SCITECH 2025 Forum. https://doi.org/10.2514/6.2025-0885
• Pedrioli, A., Capone, P., Righi, M., Garcia-Sanchez, E., Pinsard, L., & Vieira Gomes, J. (2024, January 10). MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification. American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. https://doi.org/10.2514/6.2024-1624
• Liu, X., Anderegg, D., Yildirim, A., Righi, M., & Manfriani, L. (2023, July). Numerical optimisation of single- and multi-element aerofoils using gradient-based methods. Aerospace Europe Conference - Joint 10th EUCASS and 9th CEAS Conference, Lausanne, Switzerland, 9-13 July 2023. https://doi.org/10.13009/EUCASS2023-387
• Righi, M., Anderegg, D., Manfriani, L., Ammann, M., Oram, C., Yildirim, A., Martins, J. R., & Coretti, O. (2022, June 20). Optimisation of symmetrical aerofoils for a vertical axis wind turbine. AIAA AVIATION 2022 Forum. https://doi.org/10.2514/6.2022-3384
• Molina, E. S., Silva, D. M., Broeren, A. P., Righi, M., & Alonso, J. J. (2020). Application of DDES to iced airfoil in Stanford University Unstructured (SU2) [Conference paper]. Progress in Hybrid RANS-LES Modelling, 283–293. https://doi.org/10.1007/978-3-030-27607-2_23
• Manfriani, L., Ammann, M., & Righi, M. (2012). Experimental aerodynamic analysis of a slow running vertical axis wind turbine. Proceedings of the RAeS Applied Aerodynamics Conference 2012.

Weitere Publikationen

• Righi, M. (2016). RANS-LES hybrid turbulence modelling for aeroelastic problems : test case 3 in the second aeroelastic prediction workshop. Proceedings of the 34th AIAA Applied Aerodynamics Conference. https://doi.org/10.2514/MAPA16
• Righi, M. (2016). Turbulence modelling techniques in aeroelastic problems : results and comments from the second AIAA aeroelastic prediction workshop. 6th EASN International Conference on Innovation in European Aeronautics Research, Porto, Portugal, 18-21 October 2016.
• Righi, M. (2016). Turbulence modelling in aeroelastic problems. Proceedings of 11th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements.
• Da Ronch, A., Berci, M., & Righi, M. (2016). Subsonic indicial aerodynamics for the unsteady loads of trapezoidal wings. Proceedings of the 34th AIAA Applies Aerodynamics Conference. https://doi.org/10.2514/MAPA16
• Da Ronch, A., Berci, M., & Righi, M. (2015). Subsonic indicial aerodynamics for unsteady loads calculation via numerical and analytical methods : a preliminary assessment : AIAA 2015-3170. Proceedings of the 33rd Applied Aerodynamics Conference : Unsteady Flows. https://doi.org/10.2514/MAPA15
• Righi, M., & Koch, J. (2015). High-fidelity aeroelasticity. Platform for Advanced Scientific Computing Conference 2015, Zürich, 01-03 June 2015.
• Righi, M. (2015). A numerical scheme for hypersonic turbulent flow : AIAA 2015-3341. Proceedings of the 45th Fluid Dynamics Conference : Hypersonic and Chemically-Reacting Flows. https://doi.org/10.2514/MFD15
• Righi, M. (2014). A gas-kinetic scheme for the simulation of turbulent flow. Proceedings of the 29th International Symposium on Rarefied Gas Dynamics.
• Manfriani, L., & Righi, M. (2014). Aerodynamic design of a boom for air-to-air refuelling. Proceedings of the RAeS Applied Aerodynamics Conference 2014.
• Righi, M. (2014). A gas - kinetic scheme for turbulent flow. Proceedings of the 10th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements : ETMM10.
• Righi, M. (2013). A gas-kinetic scheme for the simulation of turbulent flows [Conference paper]. 28th International Symposium on Rarefied Gas Dynamics 2012, 481–488.
• Righi, M. (2012). A finite-volume gas-kinetic method for the solution of the Navier-Stokes equations. Proceedings of the RAeS Applied Aerodynamics Conference.

Zurück