Next generation turbomachinery with two-phase flow

Informazioni relative al progetto

Training42Phase

ID dell’accordo di sovvenzione: 101120366

DOI

10.3030/101120366

Data della firma CE 14 Luglio 2023

Data di avvio 1 Dicembre 2023

Data di completamento 30 Novembre 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 707 800,60

Coordinato da

DANMARKS TEKNISKE UNIVERSITET
Denmark

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

Documents, reports (2)

Report on the developed reduced order models

Description of the reduced order models for dynamic simulations of eroded blades.

Report on degradation and failure mechanisms

Insight on the degradation and failure mechanisms for two-phase turbomachinery.

Websites, patent fillings, videos etc. (1)

Training42Phase website

Website for communication of progress status, key partners, and activities and to promote discussions.

Pubblicazioni

Conference proceedings (5)

A Hyperbolic One-Dimensional Model for Two-Phase Flows in Converging-Diverging Nozzles

Autori: Andrea Cioffi, Alberto Bergamin, Roberto Agromayor, Fredrik Haglind
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/GT2025-153250

Distributionally Robust Bayesian Optimization For Two-Phase Convergent-Divergent Nozzle Shape Design

Autori: Matteo Battisti, Ahmed Harbi, Andrea Cioffi, Roberto Agromayor, Fredrik Haglind, Giacomo Persico, Anne Barros, Yiping Fang
Pubblicato in: Proceedings of the European Safety and Reliability Conference (ESREL2026), 2026
Editore: Research Publishing, Singapore

An Efficient Multiple-Point Active Kriging Method for Reliability Assessment with Complex Failure Domains

Autori: Mennatallah Gouda, Matteo Battisti, Yiping Fang, Zhiguo Zeng, Anne Barros
Pubblicato in: Proceedings of the European Safety and Reliability Conference (ESREL2026), 2026
Editore: Research Publishing, Singapore

A Physics-Informed Deep Learning Framework For Updating Digital Twins: Application On Robot Fault Diagnosis

Autori: Pu Huang, Xiaochun Liang, Zhiguo Zeng, Anne Barros
Pubblicato in: Proceedings of the European Safety and Reliability Conference (ESREL2026), 2026
Editore: Research Publishing, Singapore

Advancing Turbomachinery Meanline Modeling and Optimization With Automatic Differentiation

Autori: Srinivas Prakash Diwanji, Lasse Borg Anderson, Roberto Agromayor, Fredrik Haglind
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/GT2025-153217

Peer reviewed articles (2)

A Hyperbolic One-Dimensional Model for Two-Phase Flows in Converging–Diverging Nozzles

Autori: Andrea Cioffi, Alberto Bergamin, Roberto Agromayor, Fredrik Haglind
Pubblicato in: Journal of Turbomachinery, Numero 148, 2025, ISSN 0889-504X
Editore: ASME International
DOI: 10.1115/1.4069467

Advancing Turbomachinery Meanline Modeling and Optimization With Automatic Differentiation

Autori: Srinivas P. Diwanji, Lasse B. Anderson, Roberto Agromayor, Fredrik Haglind
Pubblicato in: Journal of Turbomachinery, Numero 148, 2025, ISSN 0889-504X
Editore: ASME International
DOI: 10.1115/1.4069655