Sheffield, United Kingdom
Sheffield, United Kingdom

Ansys, Inc. is an engineering simulation software developer headquartered south of Pittsburgh in the Southpointe business park in Cecil Township, Pennsylvania, United States. One of its most significant products is Ansys CFD, a proprietary computational fluid dynamics program. Wikipedia.


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Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.5.3 | Award Amount: 15.53M | Year: 2011

The airways diseases asthma and chronic obstructive pulmonary disease affect over 400 million people world-wide and cause considerable morbidity and mortality. Airways disease costs the European Union in excess of 56 billion per annum. Current therapies are inadequate and we do not have sufficient tools to predict disease progression or response to current or future therapies. Our consortium, Airway Disease PRedicting Outcomes through Patient Specific Computational Modelling (AirPROM), brings together the exisiting clinical consortia (EvA FP7, U-BIOPRED IMI and BTS Severe Asthma), and expertise in physiology, radiology, image analysis, bioengineering, data harmonization, data security and ethics, computational modeling and systems biology. We shall develop an integrated multi-scale model building upon existing models. This airway model will be comprised of an integrated micro-scale and macro-scale airway model informed and validated by omic data and ex vivo models at the genome-transcriptome-cell-tissue scale and by CT and functional MRI imaging coupled to detailed physiology at the tissue-organ scale utilising Europes largest airway disease cohort. Validation will be undertaken cross-sectionally, following interventions and after longitudinal follow-up to incorporate both spatial and temporal dimensions. AirPROM has a comprehensive data management platform and a well-developed ethico-legal framework. Critically, AirPROM has an extensive exploitation plan, involving at its inception and throughout its evolution those that will develop and use the technologies emerging from this project. AirPROM therefore will bridge the critical gaps in our clinical management of airways disease, by providing validated models to predict disease progression and response to treatment and the platform to translate these patient-specific tools, so as to pave the way to improved, personalised management of airways disease.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: AAT.2008.1.1.1.;AAT.2008.4.1.1. | Award Amount: 5.65M | Year: 2009

The ATAAC project aims at improvements to Computational Fluid Dynamics (CFD) methods for aerodynamic flows used in todays aeronautical industry. The accuracy of these is limited by insufficient capabilities of the turbulence modelling / simulation approaches available, especially at the high Reynolds numbers typical of real-life flows. As LES will not be affordable for such flows in the next 4 decades, ATAAC focuses on approaches below the LES level, namely Differential Reynolds Stress Models (DRSM), advanced Unsteady RANS models (URANS), including Scale-Adaptive Simulation (SAS), Wall-Modelled LES, and different hybrid RANS-LES coupling schemes, including the latest versions of DES and Embedded LES. The resources of the project will be concentrated exclusively on flows for which the current models fail to provide sufficient accuracy, e.g. in stalled flows, high lift applications, swirling flows (delta wings, trailing vortices), buffet etc. The assessment and improvement process will follow thoroughly conceived roadmaps linking practical goals with corresponding industrial application challenges and with modelling/simulation issues through stepping stones represented by appropriate generic test cases. The final goals of ATAAC are: to recommend one or at most two best DRSM for conventional RANS and URANS; to provide a small set of hybrid RANS-LES and SAS methods that can be used as reference turbulence-resolving approaches in future CFD design tools; to formulate clear indications of areas of applicability and uncertainty of the proposed approaches for aerodynamic applications in industrial CFD. Contributing to reliable industrial CFD tools, ATAAC will have a direct impact on the predictive capabilities in design and optimisation, and directly contribute to the development of Greener Aircraft.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-IP | Phase: AAT.2008.4.4.1. | Award Amount: 54.79M | Year: 2009

The IMG4 project CRESCENDO addresses the Vision 2020 objectives for the aeronautical industry by contributing significantly to the fulfilment of three specific targets of the aeronautical industrys Strategic Research Agenda. CRESCENDO will develop the foundations for the Behavioural Digital Aircraft (BDA), taking experience and results from VIVACE, and integrating these into a federative system and building the BDA on top of them. Main components of the BDA are: the Model Store, the Simulation Factory, the Quality Laboratory, and the Enterprise Collaboration Capabilities. It will be validated through use cases and test cases concerning Power Plant Integration, Energy Aircraft, Thermal Aircraft and Value Generation design problems and viewpoints during the preliminary design, detailed design, and test and certification phases of a generic aircraft product life-cycle. The BDA will become the new backbone for the simulation world, just as the Digital Mock-up (DMU) is today for the Product Life-cycle Management (PLM) world. This is considered a challenging area for research and innovation for the next decade. Hence, the CRESCENDO results will provide the aeronautics supply chain with the means to realistically manage and mature the virtual product in the extended/virtual enterprise with all of the requested functionality and components in each phase of the product engineering life cycle. CRESCENDO will make its approach available to the aeronautics supply chain via existing networks, information dissemination, training and technology transfer actions. The project will be organised into six subprojects: four technical and business-oriented subprojects, one Enabling Capabilities subproject which will deliver the BDA and a sixth subproject, responsible for consortium management and innovation issues. CRESCENDO will bring together 59 partners from industry, research institutes, universities and technology providers.


Grant
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 1.94M | Year: 2013

The increasing amounts of renewable energy present on the national grid reduce C02 emissions caused by electrical power but they fit into an electrical grid designed for fossil fuels. Fossil fuels can be turned on and off at will and so are very good at matching variations in load. Renewable energy in the form of wind turbines is more variable (although that variability is much more predictable than most people think) and there is a need for existing power plants to operate much more flexibly to accommodate the changing power output from wind, tidal and solar power. This work brings together five leading Universities in the UK and a number of industrial partners to make conventional power plants more flexible. The research covers a wide range of activities from detailed analysis of power station parts to determine how they will respond to large changes in load all the way up to modelling of the UK electrical network on a national level which informs us as to the load changes which conventional power plants will need to supply. The research work is divided up into a number of workpackages for which each University is responsible together they contribute to four major themes in the proposal: Maintaining Plant Efficiency, Improving Plant Flexibility, Increasing Fuel Flexibility and Delivering Sustainability. Cambridge University will be conducting research into wet steam methods. Water is used as the working fluid in power plant as it has excellent heat transfer properties. However in the cold end of power extraction turbine the steam starts to condense into water and droplets form this is especially a problem at part load. The work at Cambridge will allow this process to be predicted better and lead to better designs. Durham University will contribute two different work packages: modelling work of the entire UK power system and the introduction of the worlds first dynamically controlled clearance seal. The modelling work will enable the requirements for plant flexibility to be determined accurately. The dynamic seal developed in conjunction with a major UK manufacturer will allow the turbine to maintain performance as the load varies. Oxford University - Improved Heat Transfer Methods for Turbine Design. The output from this work will be a highly accurate coupled fluid flow and heat transfer calculations that will enable designers to better predict the thermal transients inside power stations. Leeds and Edinburgh University will lead work on increasing the use of biomass fuels. The modelling work at Leeds will allow plant operators to devise suitable measures to minimise the environmental impact of burning biomass. Leeds and Edinburgh University will contribute the development of a Virtual Power Plant Simulation Tool This work acts as a bridge between the different project partners as inputs from the models produced at Durham, Cambridge, Oxford and Leeds are combined. This tool based on the latest research findings can be used to optimize transient operations such as fast start-up and load following as wind turbine output varies.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: PHC-30-2015 | Award Amount: 5.00M | Year: 2016

Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan. This algorithmically-driven process will dramatically improve outcomes and consistency across Europe in this fast-growing patient group, maximising individual, societal and economic outcomes.


Grant
Agency: Cordis | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2014-ETN | Award Amount: 3.70M | Year: 2015

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.


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.5.2 | Award Amount: 4.88M | Year: 2011

Vascular stenting is an invasive procedure for the treatment of occlusive vascular diseases; a small wire mesh tube called a stent is permanently placed in the artery or vein to help it remain open. The procedure is called angioplasty. Originally developed to treat sever occlusions of coronary arteries, thanks to its good results, stenting found an expanding indication also for the treatment of occlusions in peripheral arteries. Around 20% of the population over 60 years old have peripheral arterial disease, and in a fifth of them symptoms can become severe and progressive, causing major lifestyle limitation; in many of these cases a stent can solve the problem effectively and with moderate risk for the patient. As common for many other implantable devices, the expansion of the indication is also producing new complications. In particular, the risk of stent rupture, which in coronaries is near to zero, is becoming an increasing source of concerns for devices placed in peripheral arteries. The variability of the incidence of this complication, that in some recent clinical studies affect 30% of the patients, suggest that problem is not only due to the design of the device, but also to factors related to the patient functional anatomy and lifestyle, and to the surgical procedure. The RT3S project aim to develop and validate a sophisticated patient-specific, probabilistic model of the fatigue-fracture of a stent, integrated in a computer-aided surgery planning application, implemented to run in real-time during the surgical planning, so as to provide advice of the risk of stent rupture while the surgeon is planning the operation. The real time software library, easy embeddable in any existing application, will make possible to include the assessment of risk for stent fracture in all software solutions for computer-aided planning, training and intervention of peripheral vascular angioplasty procedures.

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