CAS
FundRef: 501100003165 , 501100005151 , 501100018527 , 501100002367 , 501100012430 , 501100013494
Wikidata: Q530471
RRID: RRID:SCR_012797
ISNI: 0000000119573309
FundRef: 501100003165 , 501100005151 , 501100018527 , 501100002367 , 501100012430 , 501100013494
Wikidata: Q530471
RRID: RRID:SCR_012797
ISNI: 0000000119573309
Funder
111 Projects, page 1 of 23
assignment_turned_in Project2017 - 2022Partners:Nuclear AMRC, The University of Texas at Austin, AWE plc, Forth Engineering Ltd, NDA +76 partnersNuclear AMRC,The University of Texas at Austin,AWE plc,Forth Engineering Ltd,NDA,Innotec Ltd,Shadow Robot Company Ltd,Imitec Ltd,BP British Petroleum,Beihang University (BUAA),ABB (Switzerland),OC Robotics,Italian Institute of Technology,Sprint Robotics,OC Robotics,Virtual Engineering Centre (VEC),University of Manchester,ABB Ltd,Longenecker and Associates,Rolls-Royce (United Kingdom),The Manufacturing Technology Centre Ltd,ABB Group,Fusion for Energy,Nuvia Limited,Japan Atomic Energy Agency (JAEA),Sellafield Ltd,Japan Atomic Energy Agency,Rolls-Royce Plc (UK),Longenecker and Associates,EDF Energy (United Kingdom),UK Trade and Investment,University of Florida,Department for International Trade,EDF Energy Plc (UK),Valtegra,National Nuclear Laboratory (NNL),UF,Festo Ltd,Createc Ltd,Valtegra,The Shadow Robot Company,Imitec Ltd,Moog Controls Ltd,Gassco,Oxford Investment Opportunity Network,Nuclear Decommissioning Authority,Forth Engineering Ltd,Oxford Investment Opportunity Network,The University of Manchester,Chinese Academy of Sciences,British Energy Generation Ltd,Italian Institute of Technology,CAS,University of Salford,Fusion For Energy,NUVIA LIMITED,AWE,Nuclear AMRC,NNL,Uniper Technologies Ltd.,Beihang University,Sprint Robotics,Uniper Technologies Ltd.,ITER - International Fusion Energy Org,Nuclear Decommissioning Authority,Sellafield Ltd,Tharsus,Virtual Engineering Centre (VEC),Chinese Academy of Science,Innotec Ltd,Tharsus,James Fisher Nuclear Limited,MTC,Gassco,ITER - International Fusion Energy Org,Festo Ltd,Rolls-Royce (United Kingdom),Moog Controls Ltd,Createc Ltd,James Fisher Nuclear Limited,BP (International)Funder: UK Research and Innovation Project Code: EP/R026084/1Funder Contribution: 12,807,900 GBPThe nuclear industry has some of the most extreme environments in the world, with radiation levels and other hazards frequently restricting human access to facilities. Even when human entry is possible, the risks can be significant and very low levels of productivity. To date, robotic systems have had limited impact on the nuclear industry, but it is clear that they offer considerable opportunities for improved productivity and significantly reduced human risk. The nuclear industry has a vast array of highly complex and diverse challenges that span the entire industry: decommissioning and waste management, Plant Life Extension (PLEX), Nuclear New Build (NNB), small modular reactors (SMRs) and fusion. Whilst the challenges across the nuclear industry are varied, they share many similarities that relate to the extreme conditions that are present. Vitally these similarities also translate across into other environments, such as space, oil and gas and mining, all of which, for example, have challenges associated with radiation (high energy cosmic rays in space and the presence of naturally occurring radioactive materials (NORM) in mining and oil and gas). Major hazards associated with the nuclear industry include radiation; storage media (for example water, air, vacuum); lack of utilities (such as lighting, power or communications); restricted access; unstructured environments. These hazards mean that some challenges are currently intractable in the absence of solutions that will rely on future capabilities in Robotics and Artificial Intelligence (RAI). Reliable robotic systems are not just essential for future operations in the nuclear industry, but they also offer the potential to transform the industry globally. In decommissioning, robots will be required to characterise facilities (e.g. map dose rates, generate topographical maps and identify materials), inspect vessels and infrastructure, move, manipulate, cut, sort and segregate waste and assist operations staff. To support the life extension of existing nuclear power plants, robotic systems will be required to inspect and assess the integrity and condition of equipment and facilities and might even be used to implement urgent repairs in hard to reach areas of the plant. Similar systems will be required in NNB, fusion reactors and SMRs. Furthermore, it is essential that past mistakes in the design of nuclear facilities, which makes the deployment of robotic systems highly challenging, do not perpetuate into future builds. Even newly constructed facilities such as CERN, which now has many areas that are inaccessible to humans because of high radioactive dose rates, has been designed for human, rather than robotic intervention. Another major challenge that RAIN will grapple with is the use of digital technologies within the nuclear sector. Virtual and Augmented Reality, AI and machine learning have arrived but the nuclear sector is poorly positioned to understand and use these rapidly emerging technologies. RAIN will deliver the necessary step changes in fundamental robotics science and establish the pathways to impact that will enable the creation of a research and innovation ecosystem with the capability to lead the world in nuclear robotics. While our centre of gravity is around nuclear we have a keen focus on applications and exploitation in a much wider range of challenging environments.
more_vert assignment_turned_in Project2015 - 2020Partners:CAS, IPSCAS,IPSFunder: National Institutes of Health Project Code: 1R01AI116466-01Funder Contribution: 129,657 USDmore_vert assignment_turned_in Project2018 - 2024Partners:MIT, Chinese Academy of Science, Vanderbilt University, Avectas, Vanderbilt University +14 partnersMIT,Chinese Academy of Science,Vanderbilt University,Avectas,Vanderbilt University,SNS,RENISHAW DIAGNOSTICS LIMITED,CAS,Massachusetts Institute of Technology,Videregen,Massachusetts Institute of Technology,UCL,Chinese Academy of Sciences,Beihang University,Beihang University (BUAA),Avectas,Videregen,Renishaw Diagnostics Ltd,Diameter LtdFunder: UK Research and Innovation Project Code: EP/R02961X/1Funder Contribution: 1,895,190 GBPSoRo for Health is a unique interdisciplinary Platform uniting three new and rapidly advancing areas of science (soft robotics, advanced biomaterials and bioprinting, regenerative medicine) in a collaboration that will deliver transformative technological solutions to major unmet health problems. We are a collaborative scientific group including representatives from three of the most exciting and rapidly advancing technology areas in the world. Soft robotics is a new branch of robotics that uses compliant materials to create robots that move in ways mirroring those in nature; a new paradigm that is already transforming fields as diverse as aerospace and manufacturing. Advanced biomaterials is a rapidly progressing field exploring the application of novel and conventional materials to restoring structure and function. It has recently been augmented by advances in 3D- and Bio-printing with seminal clinical breakthroughs. Regenerative medicine uses a range of biological tools, such as cells, genes and biomaterials, to replace and restore function in patients with a range of disorders. It explores the interface between materials and cells and tissues and has been applied to regenerate critical organs and tissues. Our three groups have combined over the last few years to develop a range of prototype solutions to unmet health needs, in areas as diverse as breathing and swallowing, motor disorders and cardiovascular disease. Here we seek to further coalesce our activity in a unique EPSRC Platform with five primary goals. Firstly and most importantly, we will support, retain and develop the careers of three dynamic rising stars (postdoctoral research assistants, PDRAs) who might otherwise be lost from the field. Primarily supporting their career development, we will thereby also ensure the provision of a cadre of stellar individuals with cross-cutting scientific skills and leadership training who can provide leadership and direction to this nascent, but incredibly exciting, field of Soft Robotics (SoRo) for Health. This will benefit these scientists, the field, and the UK through scientific advance and commercial partnerships. Secondly, we will support our PDRAs to explore novel and high-risk hypotheses related to our combined fields through a flexible inbuilt funding stream. This will help their development, but also generate new ideas and technologies to take forward towards further scientific exploration and, where appropriate, clinic; ideas that might otherwise have fallen by the funding wayside. Thirdly, we will expand and develop a vibrant international network that will further support the development of our stars as well as energising the whole field internationally, with its hub here in the UK. Fourthly, we will engage with end-users, from both healthcare professional and patient/carer communities. We will use professional facilitators and established qualitative techniques to identify the key challenges and opportunities for SoRo as it seeks to address the outstanding and imminent issues in population health and healthcare. Finally, we will work with UK industry and biotech business leaders to develop an effective, streamlined route to IP protection, application and commercialisation that gives SoRo for Health technologies the best possible chance for widespread health gains and speedy application to those in need. Thus, the SoRo for Health Platform combines the talents, and specifically emergent talents, of internationally-leading groups in three new areas with the common Vision of transforming the lives of millions through the development of responsive, customised soft robotic-based implants and devices to address some of the major unmet health challenges of the 21st Century.
more_vert assignment_turned_in Project2009 - 2013Partners:University of Nottingham, Chinese Academy of Sciences, Chinese Academy of Science, CAS, NTU +2 partnersUniversity of Nottingham,Chinese Academy of Sciences,Chinese Academy of Science,CAS,NTU,IMR,Institute for Metals ResearchFunder: UK Research and Innovation Project Code: EP/F061919/1Funder Contribution: 429,460 GBPThere is a desperate need for a compact hydrogen storage solution if products like hydrogen cars and hydrogen fuel cell powered portable electronics such as laptops and mobile phones are to be realised. Without a compact hydrogen storage material for vehicle applications, there is unlikely to be any significant displacement in the use of fossil fuels for transportation. A major drawback to most high capacity solid state hydrogen storage materials is the high decomposition temperature needed to release the hydrogen. Multicomponent hydrides (e.g. mixing a complex hydride with a binary hydride) offers the only solution to maintain high storage capacities (>9wt.%) and tailor the thermodynamics of the system to give 1 bar equilibrium temperature <150oC. This project will design novel multicomponent systems employing material design strategies like dopant destabilisation, dehydrogenation catalysts and nanoporous containment to design and experimentally validate novel multicomponent hydride systems with high storage capacities, able to be cycled at temperatures below 150oC. The delivery of such a system will mark a step change in the performance of solid state hydrogen storage materials and will deliver a viable storage technology for a range of fuel cell applications.
more_vert assignment_turned_in Project2009 - 2012Partners:Sichuan University, GRS, GE Global Research, EM Renewables Ltd, Chongqing University (CQU) +20 partnersSichuan University,GRS,GE Global Research,EM Renewables Ltd,Chongqing University (CQU),Chongqing University,Xinjiang Goldwind Science & Technology,Durham University,New & Renewable Energy Centre Ltd,CAS,Control Techniques Drives Ltd,Mott Macdonald (United Kingdom),Tsinghua University,Durham University,Zhejiang University,Chinese Academy of Sciences,Control Techniques Drives Ltd,EM RENEWABLES LTD,ZJOU,New & Renewable Energy Ctr NaREC,Tsinghua University,Mott Macdonald UK Ltd,Chinese Academy of Science,Xinjiang Goldwind Science & Technology,SCUFunder: UK Research and Innovation Project Code: EP/F061811/1Funder Contribution: 303,638 GBPReliability is essential to the success of renewable energy systems. The estimated life of wind turbines is about 20 years, this is in comparison to 40 years for a conventional steam turbine generator unit. However the failure rate of wind turbines is about 3 times higher than that of conventional generators. The key feature that differentiates a renewable energy source, from conventional generation, is the inherent fluctuation of the source, giving rise to poor reliability due to fatigue cycling and consequently high life-cycle cost. This proposal aims to build a consortium of UK and Chinese researchers to investigate the scientific causes of poor reliability of components and develop solutions to improve it. Stress analysis and impact evaluation will be performed for stresses in thermal, mechanical, or coupled thermo-mechanical domains, taking into account the practical operating conditions. Accelerated aging test will be carried out to identify critical areas where improvement can be made cost-effectively. The research aims to develop new design concepts and new techniques that can be integrated in future renewable energy conversion systems and networks for reliability. Potential new techniques include active thermal management, integrated power smoothing, and mechanical stress releasing methods. These will be compared with alternative technologies that have been pursued by the consortium members and other researchers, such as gearless direct-drive systems, modular and fault tolerant designs and condition monitoring. The research will initially focus on wind turbines but will be extended to other forms of renewable electrical power generation including wave and tidal stream systems.Five UK and four Chinese universities as well as Chinese Academy of Sciences are initially included in the consortium which is strengthened by seven industrial partners from the two countries, in order to establish the expertise and facilities needed to address the multidisciplinary problem. The programme promotes essential and close interaction between the themes and the individual tasks. The interactions take a range of forms, from providing testing materials and facilities to the development of stress and reliability models for techniques for performance improvement. Chinese organisations will commit 9 PhD studentships to compliment the 7 themed PhD studentships in UK universities. The dissemination will involve academic publications, a dedicated website, consortium meetings, international seminars and events.
more_vert
chevron_left - 1
- 2
- 3
- 4
- 5
chevron_right
