Scale-resolving Simulations for Innovations in Turbomachinery Design

Informazioni relative al progetto

Sci-Fi-Turbo

ID dell’accordo di sovvenzione: 101138080

DOI

10.3030/101138080

Data della firma CE 24 Novembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 30 Giugno 2027

Finanziato da

Climate, Energy and Mobility

Costo totale

€ 3 436 753,75

Contributo UE

€ 3 436 753,75

3 436 753,75

Coordinato da

DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Public Website and Presence in Social Networks

Creation of project public website, LinkedIn and Twitter channels for communication in task 1.2.To reach the general public, an official Sci-Fi-Turbo website will be created to advertise the public part of the work, making the general public aware of the collaborative world-leading research conducted by the European research institutes together with European aeronautical industries, supported by the EC. The project website will translate the complex research activities into a language understandable by a lay audience while providing sufficient detail to the interested expert and scientific reader.A LinkedIn and Twitter account will be created. These will be used to disseminate the general results of the project.

Pubblicazioni

Examining the Potential of High-Order SRS to Support RANS-Based Compressor Airfoil Optimization

Autori: Georgios Goinis, Sutharsan Satcunanathan, Michael Bergmann
Pubblicato in: Volume 11: Turbomachinery — Deposition, Erosion, Fouling, and Icing; Design Methods & CFD Modeling for Turbomachinery; Ducts, Noise & Component Interactions, 2025
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2025-153540

Comparison of multi-fidelity surrogate models for multi-objective aerodynamic optimization in turbomachinery under extreme cost imbalance

Autori: Marc Schouler, Anca Belme, Paola Cinnella
Pubblicato in: Advanced Modeling and Simulation in Engineering Sciences, Numero 12, 2025, ISSN 2213-7467
Editore: Springer Science and Business Media LLC
DOI: 10.1186/S40323-025-00316-3

Cache blocking for flux reconstruction: Extension to Navier-Stokes equations and anti-aliasing

Autori: Semih Akkurt, Freddie Witherden, Peter Vincent
Pubblicato in: Computer Physics Communications, Numero 305, 2024, ISSN 0010-4655
Editore: Elsevier BV
DOI: 10.1016/j.cpc.2024.109332

A Comparative Study of Varying Incidence Angle Effects on a Low-Reynolds-Number Compressor Cascade Based on Experiments and Low-Fidelity and High-Fidelity Numerical Simulations

Autori: Michael Bergmann, Christian Morsbach, Felix M. Möller, Björn F. Klose, Alexander Hergt, Georgios Goinis
Pubblicato in: International Journal of Turbomachinery, Propulsion and Power, Numero 10, 2025, ISSN 2504-186X
Editore: MDPI AG
DOI: 10.3390/IJTPP10040042

Examining the Potential of High-Order Scale-Resolving Simulation to Support RANS-Based Compressor Airfoil Optimization

Autori: Georgios Goinis, Sutharsan Satcunanathan, Michael Bergmann
Pubblicato in: Journal of Turbomachinery, Numero 148, 2025, ISSN 0889-504X
Editore: ASME International
DOI: 10.1115/1.4069802

PyFR v2.0.3: Towards industrial adoption of scale-resolving simulations

Autori: Freddie D. Witherden, Peter E. Vincent, Will Trojak, Yoshiaki Abe, Amir Akbarzadeh, Semih Akkurt, Mohammad Alhawwary, Lidia Caros, Tarik Dzanic, Giorgio Giangaspero, Arvind S. Iyer, Antony Jameson, Marius Koch, Niki Loppi, Sambit Mishra, Rishit Modi, Gonzalo Sáez-Mischlich, Jin Seok Park, Brian C. Vermeire, Lai Wang
Pubblicato in: Computer Physics Communications, Numero 311, 2025, ISSN 0010-4655
Editore: Elsevier BV
DOI: 10.1016/J.CPC.2025.109567