Multiphase Flow Optimisation Strategies with Industrial Applications

Informazioni relative al progetto

MFLOPS

ID dell’accordo di sovvenzione: 101072851

DOI

10.3030/101072851

Data della firma CE 18 Luglio 2022

Data di avvio 1 Gennaio 2023

Data di completamento 30 Aprile 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 607 717,60

Coordinato da

OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG
Germany

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Risultati finali

Documents, reports (8)

URANS in Kaplan hydro-turbines and assessment of cavitation models accuracy

Perform numerical simulations based on the Finite Volume Method (FVM) with reference to Kaplan hydro-turbines. Implement different bubble-dynamics (i.e. Rayleigh-Plesset derived) and barotropic cavitation models and verify their accuracy against existing experimental data.

Validated adjoint method for cavitating flows

A report on the activity of extending the continuous adjoint method available at NTUA to two-phase/cavitating flows and incorporate the newly-developed modelling framework in NTUA’s GPU-enabled CFD code PUMA; verifying the method on hydro-turbine geometries considering objective functions referring to cavitation and after effects minimisation.

Derive and implement adjoint equations for Multiphase with heat transfer for optimal design of EV BTMS

Modelling of phase change phenomenon for pool boiling regimes (nucleate, transition and film boiling) and coupling of the flow solver to electrochemical models for battery heating in a conjugate heat transfer manner; Optimisation of the BTMS overall dimensions and geometrical features (e.g., surface patterning, battery cell spacing), maximizing bubble departure rate from the battery surfaces, and hence, overall heat transfer.

Adjoint method for cavitating flows incorporating compressibility effects

Implement heat-transfer model describing different convective boiling regimes from slug up to annular flows in the commercial CFD code CONVERGE and formulate the numerical framework for the simulation of two-phase cooling systems applicable to heavy-duty Diesel engines.

Primal/Adjoint diffuse interface model dedicated to optimisation in FRESCO

Augment the adjoint formulation by an adjoint floatation framework and an efficient approach for modelling the transient flow during the adjoint optimization to account for shape modification induced changes of the floatation and drag in steady and unsteady conditions.

Implementation of a numerical model relevant to water transport in the fuel cell channels

Combination of FIRE’s PEM FC module with a suitable model for water transport in the fuel cell channels based on a VOF-type approach.

Data-driven reduced-order propulsion model

Development of geometrically constraint, industrialized CAD-free adjoint shape optimization framework which considers a data-driven, reduced-order propulsion model during the optimization process.

Efficient compression schemes for SPH simulations of Pelton-turbine flow

Derive suitable objective functions indicative of the hydrodynamic efficiency of Pelton hydro-turbines and implement an efficient approach to compress the transient flow field for a subsequent use during the optimisation.

Websites, patent fillings, videos etc. (1)

Project web site

A dedicated project website will be made, taken into the considerations of the gender and intersectionality aspects.