Expected results and long-term impacts

Scientific publications

Gradient-based optimization of an axial compressor under inlet distortion using body-force modeling

Authors: Cyril Dosne, Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Antoine Dumont, Jacques Peter

A machine-learning based approach for multi-scale optimisation of heat exchangers with lattice-like topology

Authors: A. Chiodi, A. Alaia, E. Lombardi, M. Cisternino, K. Gkaragkounis, A. Ferrero, S. Shahpar

Analysis of the aerothermal performance of modern commercial high-pressure turbine rotors using different levels of fidelity

Authors: Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar

Secondary flow control in a modern aero-engine fan using vortex generators

Authors: Roberto Putzu, Mario Carta, Anastasios Kovanis, Tiziano Ghisu, Shahrokh Shahpar

Aerothermal–Structural Optimization of a High-Pressure Turbine Rotor With Robustness Evaluation to in-Service Deterioration

Authors: Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar

Assessing the Environmental Impact of Aircraft/Engine Integration With Respect to Contrails

Authors: Joseph Ramsay, Indi Tristanto, Shahrokh Shahpar, Alistair John

Assessing the Impact of Turbofan Engine Design on Aircraft Contrail Properties

Authors: Joseph Ramsay, Indi Tristanto, Shahrokh Shahpar, Alistair John

Multidisciplinary Optimization of Gyroid Topologies for a Cold Plate Heat Exchanger Design

Authors: Elhusseiny Daifalla, Shahrokh Shahpar, Indi Tristanto, Mario Carta

Machine Learning Strategies for Upgrading Turbulence Modelling in Aeronautics Applications

Authors: Flavien Billard, Guillaume Laruelle, Frédéric Chalot, Gilbert Rogé and Michel F. Mallet

Assessment of Spalart-Allmaras One-Equation BCM Transitional Model Using Anisotropic Metric-Based Mesh Adaptation

Authors: Cosimo Tarsia Morisco and Frederic Alauzet

The continuous adjoint method to the γ−R˜⁢eθ⁢t transition model coupled with the Spalart–Allmaras model for compressible flows

Authors: Marina G. Kontoua, Xenofon S. Trompoukisa, Varvara G. Asoutia, Kyriakos C. Giannakogloua

Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

Authors: Marina G. Kontoua, Varvara G. Asoutia, Kyriakos C. Giannakogloua

Multi-Fidelity Modelling of the Effect of Combustor Traverse on High-Pressure Turbine Temperatures

Authors: Carta, M.; Shahpar, S.; Ghisu, T.; Licheri, F.

Combustor Traverse Optimization to Lower High-Pressure Turbine Rotor Temperatures

Authors: Carta, M, Ghisu, T, & Shahpar, S.

Analysis of the aerothermal performance of modern commercial high-pressure turbine rotors using different levels of fidelity

Authors: Carta M., Shahpar S., Ghisu T.

Heat Transfer Analysis of Damaged Shrouded High-Pressure Turbine Rotor Blades

Authors: Carta M., Shahpar S., Ghisu T.

A First Assessment of Adjoint Body-Force Modeling Capabilities for Fan Design

Authors: Cyril Dosne, Raphael Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti, Jaques Peter

An Adjoint Body-Force Approach for Fully-Coupled Aero-Propulsive Optimizations

Authors: Cyril Dosne, R. Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti, Jacques Peter

Comparison of Efficient Uncertainty Quantification Techniques on a Transonic Airfoil, Using RANS Computations and Adjoint Method

Authors: Quentin Bennehard, Jacques Peter, Marco Carini

Enhancing Decision Making in MDO through Interactive Visual Analytics on the Web

Authors: Henriques-Gil, Javier and Mejia Parra, Daniel and Simoes, Bruno

Project deliverables

D1.1 Tools for aero-propulsive and aero-acoustic optimisation (WP1; ONERA; Sensitive)

D1.2 Assessment of transition models & their adjoints (WP1; NTUA; Public)

D1.3 DENs to Speed-up MDOs (WP1; NTUA; Public)

D1.4 New capabilities of GEMSEO with examples (WP1; IRT; Public)

D1.5 Assessment of UQ/RDO methods (WP1; UNICA; Public)

D2.1 Deep learning borescope demonstrator on an engine borescope video (WP2; ICL; Sensitive)

D2.2 Instant CFD demonstrator on NACA0012 design and ONERA M6 wing cases (publicly available) (WP2; ICL; Public)

D2.3 ML for supporting improved manufacturing: methods and tools (WP2; ICL; Public)

D3.1 Description of design tasks (WP3; AIRBUS; Sensitive)

D3.2 Automatic design chains for the two suggested aircraft concepts (WP3; ONERA; Sensitive)

D3.3 Multidisciplinary design tools for desining next generation business jet acquainted with NLF HARW (WP3; DAV; Sensitive)

D3.4 Multidisciplinary design tools for designing next generation HARW transport aircraft (WP3; DLR; Sensitive)

D4.1 UHBR test case definition (fan, turbine, and heat exchanger) (WP4; RR; Sensitive)

D4.2 USF test case definition (WP4; ONERA; Sensitive)

D4.3 Multi-fidelity aerodynamic-structural design of UHBR fan blade (WP4; UNICA; Sensitive)

D4.4 Multi-fidelity aero-thermal-structural design of compressor/turbine blades (WP4; UNICA; Sensitive)

D4.5 Aero-acoustic optimisation of isolated USF engine (WP4; SAFRAN; Sensitive)

D4.6 Shape optimisation of wing-engine geometries to reduce contrail formation (WP4; USFD; Sensitive)

D4.7 Coupled aero-propulsive optimisation of USF engine and wing (WP4; ONERA; Sensitive)

D5.1 UQ and RO of airframe parts (WP5; DAV; Sensitive)

D5.2 UQ and RO of engine components (WP5; UNICA; Sensitive)

D6.1 Definition of advanced Heat Exchanger geometry and required boundary condition at various flight conditions (WP6; RR; Sensitive)

D6.2 Definition of the cold CAD fan datum geometry, CMM file Formats and data of the scanned UHB Fan blades and HP Turbine Blades (WP6; RR; Sensitive)

D6.3 Delivery of the first Topology optimised Heat-Exchanger (WP6; OPT; Sensitive)

D6.4 Additive Manufacturing of first heat exchanger design (WP6; IRT; Sensitive)

D6.5 Hi-Fi, Multi-passage (NLH and Non-linear) analysis of the Digital Twin of the Manufactured fan blade (WP6; UNICA; Sensitive)

D7.1 Data Management Plan (WP7; ONERA; Sensitive)

D7.2 PEDR-C (WP7; ERDYN; Sensitive)

D7.3 Communication Kit (WP7; ERDYN; Public)

Timeline of the expected results and long-term technical impacts to be achived during and after the project

Funded by the European Union under the GA number: 101056732. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.