Advanced manufacturing technologies
Replacement of metal parts by high-temperature composites for aeronautical structure applications.
Understanding between carbon/thermoplastic prepreg architectures, processability (consolidation and assembly), and impact on mechanical properties.
Removal of technological barriers related to the replacement of low-carbon steel used for the lining of HA (High Activity) cells by a Ceramic Matrix Composite material (CMC).
CMC en service
Removal of technological barriers related to the characterization of CMC technological samples in a representative engine environment.
CMC SiCMI 2
The rise in the maturity of SiC-SiC CMC materials for the needs of civil aeronautics.
Development of composite materials and structures for noise reduction and vibration control in the cabin and nacelle environment.
Development of oxide CMC for high-temperature applications (from 700°C to 1000°C).
Generation of composite material design qualifiers by virtual testing.
ASSEMBLAGES INNOVANTS 2
Determination of critical parameters to enable the maturity of innovative assembly technologies.
Increased maturity and automation of innovative assembly processes.
Development of removable bonding solutions for the automotive, aeronautics, and space industries.
Development and characterization of lead-free solder creams with improved thermomechanical properties.
Characterization and maturation of non- contact printing processes of electrical tracks on the aircraft structure or cabin trim panels.
Development of multifunctional surface coatings for aeronautical parts.
Development of functionally graded materials and properties through the use of the LMD-p (Laser Metal Deposition - with powder) process.
Increasing the maturity of the design and manufacture of thin structures (with dimensions less than 1mm) by metal additive manufacturing processes.
Increasing the maturity level of the LMD-p (Layer Metal Deposition - powder) process for aerospace applications.
Study and development of HIP (Hot Isostatic Pressure) treatments for nickel-based superalloys processed by LBM (Laser Beam Melting) additive manufacturing and elaborated by MIM (Metal Injection Molding).
Development of numerical tools and methodologies for the design of lattice structures made by additive manufacturing.
Development of disruptive forging and closed die-forging processes for the manufacture of primary aeronautical parts in TA6V titanium alloy.
Definition of a future project to develop material and process solutions for hydrogen distribution in future generations of aircraft.
Evaluation of the implementation of thermal insulating layers between the composite part and the hot titanium part.
Development of a CMC demonstrator for optimized gas flows in metallurgical blast furnaces.
Functionalization of composite materials for the manufacture of electrical enclosures to house and protect on-board electrical and avionics devices.
Understanding and improvement of powder bed metal additive manufacturing technologies by laser fusion or electron beam.
Understanding and improving Laser Metal Deposition (LMD) additive manufacturing technology.
Development and study of competitive thermoplastic semi-finished products, compatible with non-autoclave processes and coming 100% from a French supply chain.
Optimization of the micro-arcs oxidation process for aeronautical applications (nacelle air inlet lips, seat rails, valve bodies).
Evaluation of the maturity of silicon carbide (SiC) power semiconductor technology.
Rising maturity of thermal cooling solutions: two-phase loops.
Optimization of the high power electrical chain, development of predictive models and multidisciplinary optimization tools (MDO) for the optimal dimensioning of the electrical chain, evaluation of future DC/AC converters of very high power.
Improved understanding of the physical phenomena associated with strong electric fields (partial discharges, surface discharges, space charges, electric arcs), evaluation and control of their consequences on the reliability of systems, identification and development of solutions to improve the performance of systems beyond the state of the art.
Characterization, optimization and modeling of materials and components of harnesses and high power connection means for future aeronautical applications with hybrid or electric propulsion.
Study of the lifetime of electronic components assemblies on printed circuits made with new generation lead-free soldering creams (*SAC+ type)
The project is working to deepen our knowledge of the mechanisms of aging/failure and their frequency of occurrence in order to know how to dimension, estimate the life span and the operating safety of hydrogen fuel cells. The project focuses on the impact of certain parameters (current, temperature) on the behavior of a stack over time. The degradations that appear will be identified in different ways (performance monitoring, specific characterizations, post-mortem study) to have a good degree of certainty on the observations and interpretations made.
Le projet porte sur l'évaluation de la fiabilité de la technologie des semi-conducteurs de puissance en nitrure de gallium (GaN). L'objectif principal est de permettre l'insertion de l'électronique de puissance à base de GaN dans (plusieurs secteurs) la chaîne d'approvisionnement de la mobilité électrique avec une contrainte de fiabilité élevée.
Development of an innovative power converter able to provide power transmission, monitoring, diagnostics, and communications. The system will be highly efficient, reliable, compact, and lightweight, contributing to higher, more efficient, and environmentally friendly performance for future large aircraft.
Evaluation of potential technologies that will allow the use of higher voltage converters while maintaining power density, as well as arc detection techniques that will increase the safety of high-altitude operations.
Study of the physical phenomena amplified by the increase of the voltage and the use of «large gap» components.
Evaluation of the reliability of an electronic board and the treatment of component obsolescence at the scale of an equipment by numerical simulation.
Study of EMC, multi-stress optimization methods and the various components of the electromechanical chain in order to optimize power density, efficiency, reliability and manufacturing cost.
Implementation of a platform to evaluate the performance of collaboration between humans and autonomous agents including AI in the context of military and civil aeronautics.
SODA2 (under construction)
Preparation of future defense systems involving artificial intelligence for the optimization of ground-air defense strategy.
Artificial intelligence for the evolution of space observation systems: planning of massive and heterogeneous constellations and bimodal semantic analysis of satellite images and text.
Scientific and technological simulations and modeling of an innovative concept of high resolution and small size imager for mobile, airborne, and space applications.
Definition of a communication protocol and removal of technological barriers that allow an IoT service with wide geographical coverage from low-cost nanosatellites in low orbit.
Introduction of artificial intelligence technologies for image processing in embedded systems (satellites, robots, drones, etc.) to make them more autonomous and responsive.
Methods and equipment for the verification of high-capacity communication satellite payloads (VHTS*) exploiting photonic technologies and overcoming the limitations of electrical-only solutions.
*Very High Throughput Satellite
Creation of explainable and robust machine learning theory and algorithms to meet the challenges of qualification and certification of AI-embedded critical systems.
Study of 5G/Satcom integration. Realization of a platform for orchestration and acceleration of virtual network functions for Satcom and 5G for software-driven networks.
Establishment of community management of access to data and services for the environment, sharing of resources (data, calculations, storage, AI algorithms). Application use case: coastal submersion and erosion.
Definition of an embedded subsystem to conduct a rendezvous mission with more or less collaborative space targets, as well as a multi-objective optimization planning tool.
APISS (under construction)
Implementation of a standardization reference for embedded sensor solutions based on photonic technologies.
ENVIA (under construction)
Realization of automatic control based on reinforcement learning for autonomous vehicles placed in an uncertain environment. Use case: the LCA60T airship from Flying Whales.
Deployment of a telecom and computing infrastructure (5G-SA and AI) along a France/Spain cross-border corridor. Test of use cases: innovative train and car in real conditions.
AI evaluation and quantification of the comprehensibility of textual user queries, from the perspectives of semantic analysis and pragmatic analysis.
The growing maturity of technologies that increase the energy and spectral efficiency of satellite links, up to a demonstrator level.
Methods & tools for the development of complex systems
Design and optimization of critical software systems deployed on single and multi-card architectures equipped with complex SoCs.
Definition of appropriate and accepted interaction modes by system architects and engineers to improve the acceptability and wide deployment of modeling and increase the efficiency and productivity of system engineers.
Evaluation and design of the bricks of a deterministic, modular, standardized, and multi-sector (automotive, aeronautics, or space) embedded communication architecture based on the TSN (time-sensitive network) standard.
Contribution to digital continuity through MDO concerning systems engineering. Development of innovative capabilities to improve the efficiency and robustness of MDO processes. In particular, the development of multi-fidelity and uncertainty propagation aspects in MDO processes.
Establishment of numerical continuity between system definition and safety analysis.
Evaluation of software and hardware implementation test architectures for embedded Machine Learning models supporting future space or airborne optical payloads.
Contribution via GEMSEO to the quantification and propagation of uncertainties to study the impact of the variability of composite material properties for aeronautical structures.
TeePee4Space (ESA project)
Evaluation of mass and power budgeting analyses on a set of distributed and heterogeneous MBSE models to leverage digital continuity in an extended enterprise environment.
ELMASAT (ESA project)
Model-based engineering approach for availability assessment of satellite systems embedding electronic COTS.
Development and validation of multidisciplinary design tools for optimization. Special attention is given to multidisciplinary optimization, understanding of multi-physics phenomena, simulation of manufacturing processes, and transition to HPC (High-Performance Computing).
Enable the digital transformation of future-generation aircraft through the development and demonstration of new numerical methods combining the most advanced high-fidelity modeling capabilities with Machine Learning techniques. NextAir will enable robust design and fielding of future-generation climate-neutral aircraft configurations with improved operational reliability and smart maintenance technologies.
Use of multidisciplinary optimization for the design of future-generation aircraft with ultra-high-aspect-ratio wings. In this context, we are in charge of the implementation of the global process, interfacing to GEMSEO different models based on physics.
Contribution through MDO approaches to the study of new additive manufacturing technologies applied to the development of traction systems in the railway field.
Definition of a highly integrated avionics architecture based on COTS for the small satellite platform market.