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Ansys (France)

Country: France
10 Projects, page 1 of 2
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 766012
    Overall Budget: 1,588,450 EURFunder Contribution: 1,588,450 EUR
    Partners: BUDAI EGESZSEGKOZPONT KFT, UNIBO, AESCULAP AG, ADAGOS, University of Sheffield, Ansys (France), FINCERAMIC

    The SPINNER EID will train a group of Bioengineering early stage researchers to be in a position to design the next generation of repair materials and techniques for spine surgery. SPINNER brings together partners from the biomaterials (Finceramica), implantable devices (Aesculap), and computational modelling (Ansys, Adagos) industries with orthopaedic clinicians (National Centre for Spinal Disorders, NCSD) and academic experts in cell, tissue and organ scale biomaterials and medical device testing (Universities of Sheffield and Bologna). All projects will be fully grounded in practical industrial and clinical requirements, where the number of patients requiring complex spine surgery is rapidly expanding, and the biomedical engineering industry needs suitably trained, innovators to produce economic solutions to support healthy ageing for the people of Europe.

  • Open Access mandate for Publications
    Funder: EC Project Code: 642612
    Overall Budget: 3,700,190 EURFunder Contribution: 3,700,190 EUR
    Partners: LIFETEC GROUP, TU/e, LTO, THERENVA, Ansys (France), CNRS, UCL, POLITECNICO DI MILANO, University of Sheffield

    VPH-CaSE is focused on state-of-the-art developments in personalised cardiovascular support, underpinned by simulation and experimentation, building on the foundations of the Virtual Physiological Human (VPH) Initiative. The Individual Research Projects of 14 ESRs provide knowledge exchange across three research clusters (i) Cardiac tissue function and cardiac support (ii) Cardiovascular haemodynamics - pathology and intervention (iii) Image-based diagnosis and imaging quality assurance. The work will be directed by the needs of industrial and clinical Beneficiaries and Partners, providing a truly multi-disciplinary, multi-sectoral environment for the ESRs. This will combine the expertise of nine core Beneficiaries (5 academic, 4 industrial) and 10 Partners (5 clinical, 4 industrial, 1 academic) to provide scientific support, secondments and training. VPH-CaSE will foster the development of ESRs within a collaborative environment. The recruited researchers will find themselves in an enviable position to leverage the expertise of a strategic sector of the European medical devices/simulation industry and engage with the issues faced by clinical experts in the domain of cardiac medicine and cardiovascular support. Their postgraduate studies will be informed by a translational bias that delivers a competitive skill-set, equipping them to address the challenges presented by a career at the cutting edge of technological innovation in healthcare delivery. The inclusion of a technology translation SME within the consortium is designed to promote the delivery of novel, tangible research outputs, providing benefits to a breadth of European sectors (eg. biomedical, clinical, VPH). The ultimate vision is the production of VPH-capable scientists with experience of tight integration of academic/industrial/clinical areas, able to apply their skills to real life scenarios, accelerating the acceptance of innovative and effective healthcare in the clinic.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 766264
    Overall Budget: 3,873,160 EURFunder Contribution: 3,873,160 EUR
    Partners: KIT, TUM, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE, SAFRAN HELICOPTER ENGINES SAS, SAFRAN SA, GENERAL ELECTRIC DEUTSCHLAND HOLDING GMBH, University of Twente, ARMINES, Ansys (France), CERFACS

    Air transportation is expected to grow persistently over the next decades. Clean combustion technology for aircraft engines is a key enabler to reduce the impact of this growth on ecosystems and humans’ health. The vision for European aviation is shaped by the Advisory Council for Aviation Research and Innovation in Europe in the Flight Path 2050 goals, which define stringent regulations on pollutant emissions. To meet these goals, the major engine manufacturers develop lean premixed combustors operated at very high pressure. This development introduces a large risk for reduced reliability and lifetime of engines: pressure oscillations in the combustor called thermoacoustics. Much research has been dedicated to study this phenomenon over the last decades with mixed success. Industrial experience shows that the pressure oscillations often surface as late as the full engine has been built and tested. Traditional engineering methods fall short of predictability during the design of the engines due to a high sensitivity of thermoacoustics with respect to barely known input parameters. Aviation industry encounters currently the fourth industrial revolution: cyber-physical systems analyze and monitor technical systems and take automated decisions. This industrial revolution is known as “Industry 4.0” in Germany and “Industrial Internet” in the USA. An essential enabler of the fourth industrial revolution is Machine Learning. The ITN MAGISTER will utilize Machine Learning to predict and understand thermoacoustics in aircraft engine combustors, and lead combustion research a revolutionary new approach in this area. The participation of the major aircraft engine OEMs GE, Rolls Royce, Safran ensures industrial relevance and outreach of the results. The project will shape early career talents in a network of world leading scientists and industrial partners to work on one of the most severe design issues in aviation technology in the spirit of the fourth industrial revolution.

  • Funder: EC Project Code: 248801
    Partners: SCS, University of Bedfordshire, Ansys (France), University of Sheffield, POLITECNICO DI MILANO, INVATEC SPA, GLOBO TECHNOLOGIES SA, TUC, AUSEBA, NexTReT...
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 859836
    Overall Budget: 3,750,400 EURFunder Contribution: 3,750,400 EUR
    Partners: NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA, SINTEF, TECHNEVALUE GMBH, University of Rome Tor Vergata, PREDISURGE, Philips (France), FGM, ESI GROUP, ARMINES, HSL SRL A SOCIO UNICO...

    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.