Overview of Arts et Métiers projects that are currently funded by the European Union’s prestigious Horizon Europe program.
MARS (Manufacturing Architecture for Resilience and Sustainability). The MARS project aims to remedy to both issues by enabling SMEs to access advanced European breakthrough innovations in the field of AI-driven digital manufacturing processes and enter into process chains that are geographically distributed. Specifically, by gathering diverse expertise coming from complementary European partners, MARS will develop Industry4.0 emerging technologies including digital twins of products, processes and machines, bio-intelligent production devices with local intelligence and high sensing coverage, central intelligence with fleet learning approaches, data-driven manufacturing process models from different sources, blockchain technology for data hashing, traceability and securitization, multi-agent based manufacturing planning, multi-criteria intelligent optimization of processes and resources especially addressing environmental footprint.
GENEX project aims at developing a novel end-to-end digital twin-driven framework based on enhanced computational models, which embed the interdisciplinary knowledge of the aircraft components and the manufacturing/repairing processes, to support the optimized manufacturing of composites parts, enable the continuous operation of aircrafts and improve the composites repairing processes for ensuring aircraft´s safety and airworthiness.
R3GROUP: Reslient Rapid ReconfiGurable pROdUction Process chains
The objective is to develop and demonstrate resilience strategies for reconfiguration. The project will carry out industrial demonstrators in diverse manufacturing sectors (automotive, fabricated metal products, rubber and plastics, wearing apparel, home appliances) facing various reconfiguration issues (scale up or down, introduction of new suppliers, accommodation of multiple product variants, resilience to unforeseen events), engaging end-users operating with different business models (B2B, B2C) and on different positions in the value chain (OEM, Tier 1). R3GROUP will develop human-centred solutions and put special focus on reskilling to support the adoption of novel technologies.
PIONEER aims the development of an open innovation platform and interoperable digital pipeline for addressing a design-by-simulation optimisation framework. For that, PIONEER implements inline feedforward control strategies for enhancing the efficiency of the industrial systems in high-mix/low-volume production schemes, based on the connection between materials modelling and materials characterisation, simulation-based digital twins and data-driven models, updated through distributed production data from embedded IoT edge devices and product quality.
Maxima: Modular AXIal flux Motor for Automotive. The objective of the MAXIMA project is to develop and validate a complete methodology to design an EM as well as the associated production system for the automotive core market. This methodology will have to deal with often incompatible constraints such as efficiency, costs reduction, high performances in terms of power/torque density, and high recyclability, especially for critical raw materials. To achieve this objective, MAXIMA will focus on a dedicated topology: Axial Flux Synchronous Machine (AFSM).
The objective of BATTwin ((Flexible and scalable digital-twin platform for enhanced production efficiency and yield in battery cell production lines)) is to prevent a scenario in which there is massive production of defective products in European battery factories by developing a novel Multilevel Digital Twin platform towards Zero-Defect Manufacturing in battery production, that will reduce defect rates in battery production lines. The solution integrates four pillars: a multi-sensor data acquisition and management layer, supported by data semantics through a Digital Battery Passport data model, process-level digital twins, modeling the critical stages of electrode manufacturing, cell assembly and conditioning through multi-physics, data-driven and hybrid approaches, system-level digital twins, based on simulation and analytical modeling, user-centric, goal-driven digital twin workflows, increasing the explainability of digital twins and driving the user in system design and control.
PROSECCO
PROSECCO (DC Protection, Security, Control and Optimisation) indends to develop an integrated, modular innovation management system for product-service co-design (PSCD) projects in dynamic networking contexts. SMEs, Start-UPs and modular units of large companies are seen as end-user target group whereas all other knowledge-workers and creatives constitute an intermediate group.
IN-DEEP is a European Doctoral Network composed of nine doctoral candidates (DCs) and top scientists with complementary areas of expertise in applied mathematics, artificial intelligence, high-performance computing, and engineering applications. Its main goal is to provide high-level training to the nine DCs in designing, implementing, and using explainable knowledge-driven Deep Learning (DL) algorithms for rapidly and accurately solving inverse problems governed by partial differential equations (PDEs).
GreenDilT aims to rethink the use of digital technology in higher education. Launched in 2023 for a period of 2 years, GreenDiLT will help those involved in higher education (teachers, students, support staff, etc.) to a use of digital technologies through awareness-raising and training initiatives.
It brings together 5 universities from three different countries : Politecnico di Milano (Italy), TU Delft (Netherlands), Institut National des Sciences et Industries du Vivant et de l'Environnement (AgroParisTech, France), École Nationale des Ponts ParisTech (France), Arts et Métiers (France), which is coordinating the project.
Overview of Arts et Métiers projects that are currently funded by the European Union’s prestigious Horizon 2020 program.
ONGOING PROJECTS :
MORPHO (Manufacturing, Overhaul, Repair for Prognosis Health Overreach) proposes to embed printed and fiber-optical sensors in each aircraft engine blade, thus providing them with cognitive capabilities directly from production and developing a digital/hybrid twin models to improve their manufacturing process and operational availability, without compromising safety, as well as their Life Cycle Management (LCM). The European Commission awarded a Research Innovation Action grant of € 5 million to the project and Arts et Métiers is the head coordinator.
DOMMINIO (Digital method for imprOved Manufacturing of next-generation MultIfuNctIOnal airframe parts) aims at developing an innovative data-driven methodology to design, manufacture, maintain and pre-certify multifunctional and intelligent airframe parts through a cost-effective, flexible and multi-stage manufacturing system.
COMETAS (COncurrent METAmaterial-Structure design using functionally graded metamaterials): is a highly multidisciplinary and intersectoral project to develop an integrated, reliable and efficient multiscale methodology for Concurrent Metamaterial-Structure Design employing functionally graded mechanical metamaterials. It integrates the metamaterial design concurrently with the structural design through double inverse analyses and surrogate continuum models obtained by data-driven techniques.
XS-Meta (Cross-Scale concurrent material-structure design using functionally graded 3D printed Metamaterials): the objective is to train a new generation of researchers in concurrent material-structure design of high-technology structural systems, using functionally graded 3D-printed metamaterials. Applied mathematicians, materials science and manufacturing engineers, continuum mechanics engineers and design engineers combine their theoretical, experimental, computational and industrial knowledge to create a completely novel approach in the design of components of high industrial and social value.
ISOLA will develop, integrate, test, deploy, demonstrate and validate a systematic and fully automated security approach by incorporating innovative technologies for sensing, monitoring, data fusion, alarming and reporting real-time during illegal incidents.
The dTHOR (Digital Ship Structural Health Monitoring ) project will develop next generation predictive Ship Structural Health Monitoring (SSHM) systems. These systems will be based on innovative utilisation of large amounts of load and response measurements from robust and advanced sensor systems, a digital framework complying with recognised open standards for data exchange, and hybrid analysis and modelling (HAM) which combines physics-based and data-driven models. These tools will be applied to achieve interoperable and evolving models facilitating a game change for SSHM. dTHOR will consolidate end-users’ military operational requirements based on improved battle damage and structural integrity assessment, reduced hydro-acoustic signatures, and more accurate operation of weapon systems. By delivering the above-mentioned predictive capabilities, the dTHOR project will enable; a) A holistic approach to complete lifecycle management from design to decommissioning; b) Effective transition from traditional time-based to condition-based maintenance; c) Increased operational availability and increased levels of safety; d) Continuous optimisation of operational performance in peace time and war time/crisis situations; e) Game-changing speed of knowledge transfer between Research, Innovation, Design and Operations (the digital RIDO-concept).
