Numerical modelling is less frequently used in industry for simulation of welding than for simulation of other transformation procedures, like plastic deformation or melting. This is due to the multiphysical nature of the welding process, involving arc plasma, fluid flow in the melted area, strongly coupled mechanics, thermal effects and metallurgy. This complexity penalizes the setting up of innovative welding process, such as arc-laser hybrid welding. The industrial stake is big in sense of quality and productivity (no reliable predictive tool of the operative and metallurgical weldability exists). The aim of the SISHYFE project is to create this kind of tool, especially for the thick steel welding. Hence, four main aims are defined: 1. To develop methods of direct simulation of welding procedure, by modelling, in particular, laser-plasma interaction in case of hybrid welding, as well as the strong convective fluid flow of the liquid metal in the melted area. This should increase the predictability of these models. 2. In addition to direct simulation, to develop and to customize for hybrid welding (two power sources - arc and laser beam) a methodology consistent in identifying the thermal power sources using an automatic inversed finite elements method. 3. To evaluate the performance of these two methods, and particularly the contribution of the direct simulation, in sense of mechanical and metallurgical predictions (shape of the seam, properties of the melted area and the heat affected area, structure distortions and residual stresses). 4. To develop predictive simulations of the laser-arc hybrid welding procedure, that can also be applied to other procedures, such as arc, laser or electron beam welding. The methodology suggested is: A. Instrumented welding experiments performed for three configurations typical for hybrid welding will serve as reference throughout the project. Emphasis will be put on instrumentation with the aim to obtain a precise and consistent experimental database: thermocouples, high speed video camera, IR camera, distortion and deformation measurements using an image stereo-correlation device, ... B. For a development of numerical models three softwares will be used: COMSOL, SYSWELD and TRANSWELD. A verification of the numerical methods, on one hand, and the performances of each software, on the other hand, will be possible by comparing the obtained numerical results with the experimental results from corresponding reference configurations. C. These new softwares will be used for welding-tests by three industrial users. They would enable determination of experimental windows for operative and metallurgical weldability. The consortium is compact, reliable and well-balanced. It comprises all adequate expertises: 3 industrials, 1 technical center, 2 software companies and 2 research laboratories. All of them are major contributors to each of industrial, technical or scientific problematic. The project can contribute significant innovations in several fields of theme 4 of the request for proposals: - To develop innovative numerical tools for the comprehension of multiphysical phenomena typical for hybrid welding: plasma-laser interaction, fluid-structure coupling (hydrodynamics of melted area/solid part) - To verify the theoretical predictions using a serious experimental approach - To optimize the industrial development of the hybrid welding process

Computational Fluid Dynamics (CFD) has become a mature technology in engineering design, contributing strongly to industrial competitiveness and sustainability across a wide range of sectors (e.g. transportation, power generation, disaster prevention). Future growth depends upon the exploitation of massively parallel HPC architectures, however this is currently hampered by performance scaling bottlenecks. The ambitious exaFOAM project aims to overcome these limitations through the development and validation of a range of algorithmic improvements. Improvements across the entire CFD process chain (pre-processing, simulation, I/O, post-processing) will be developed. Effectiveness will be demonstrated via a suite of HPC Grand Challenge and Industrial Application Challenge cases. All developments will be implemented in the open-source CFD software OpenFOAM, one of the most successful open-source projects in the area of computational modelling, with a large industrial and academic user base. To ensure success, the project mobilises a highly-capable consortium consisting of experts in HPC, CFD algorithms and industrial applications and includes universities, HPC centres, code release authorities and SMEs. Project management will be facilitated by a clear project structure and quantified objectives enable tracking of the project progress. Special emphasis will be placed on ensuring a strong impact of the exaFOAM project. The project has been conceived to address all expected impacts set out in the Work Programme. All developed code and validation cases will be released as open-source to the community in coordination with the OpenFOAM Governance structure. The involvement of 17 industrial supporters and stakeholders from outside the consortium underscores the industrial relevance of the project outcomes. A well-structured and multi-channelled plan for dissemination and exploitation of the project outcomes further reinforces the expected impact.

Nowadays, European manufacturing enterprises are facing a number of challenges in a turbulent globalized market facing unprecedented and abrupt changes in market demands, an ever-increasing number of product variants and smaller lot sizes, intensifying the worldwide competition and causing a continuous pressure on production costs, product quality and production efficiency. Therefore, novel product development strategies for ensuring and optimising the manufacturing of new products or variants in low-volume production systems must be implemented. 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. PIONEER is built over five pillars for development a common methodology deployed in two demonstrators by involving multidisciplinary optimisation for ensuring certified path planning strategies for the manufacturing of topology optimised structural elements through Wire-Arc Additive Manufacturing (WAAM) in construction –i.e., low-volume production schemes–, as well as for ensuring an efficient design and manufacturing strategy for the manufacturing of Carbon Fibre Sheet Moulding Compound (CF-SMC) components in automotive –i.e., high-mix production schemes–. PIONEER is built on the knowledge and results gained in i) previous H2020 EU projects; ii) associations –i.e. EMMC ASBL, IOF, VMAP Standard Community, IDTA—; and iii) commercial products from project partners.

MeDiTATe aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The Individual Research Projects of the 14 ESRs are defined across five research tracks: (1) High fidelity CAE multi-physics simulation with RBF mesh morphing (FEM, CFD, FSI, inverse FEM) (2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models (3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database (4) Big Data management for population of patients imaging data and high fidelity CAE twins (5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario (Medicine 4.0) The work of ESRs, each one hired for two 18 months periods (industry + research) and enrolled in PhD programmes, will be driven by the multi disciplinary and multi-sectoral needs of the research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.