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Technical University Eindhoven

Technical University Eindhoven

22 Projects, page 1 of 5
  • Funder: UK Research and Innovation Project Code: EP/S023305/1
    Funder Contribution: 6,140,640 GBP

    We will train a cohort of 65 PhD students to tackle the challenge of Data Creativity for the 21st century digital economy. In partnership with over 40 industry and academic partners, our students will establish the technologies and methods to enable producers and consumers to co-create smarter products in smarter ways and so establish trust in the use of personal data. Data is widely recognised by industry as being the 'fuel' that powers the economy. However, the highly personal nature of much data has raised concerns about privacy and ownership that threaten to undermine consumers' trust. Unlocking the economic potential of personal data while tackling societal concerns demands a new approach that balances the ability to innovate new products with building trust and ensuring compliance with a complex regulatory framework. This requires PhD students with a deep appreciation of the capabilities of emerging technology, the ability to innovate new products, but also an understanding of how this can be done in a responsible way. Our approach to this challenge is one of Data Creativity - enabling people to take control of their data and exercise greater agency by becoming creative consumers who actively co-create more trusted products. Driven by the needs of industry, public sector and third sector partners who have so far committed £1.6M of direct and £2.8M of in kind funding, we will explore multiple sectors including Fast Moving Consumer Goods and Food; Creative Industries; Health and Wellbeing; Personal Finance; and Smart Mobility and how it can unlock synergies between these. Our partners also represent interests in enabling technologies and the cross cutting concerns of privacy and security. Each student will work with industry, public, third sector or international partners to ensure that their research is grounded in real user needs, maximising its impact while also enhancing their future employability. External partners will be involved in PhD co-design, supervision, training, providing resources, hosting placements, setting industry-led challenge projects and steering. Addressing the challenges of Data Creativity demands a multi-disciplinary approach that combines expertise in technology development and human-centred methods with domain expertise across key sectors of the economy. Our students will be situated within Horizon, a leading centre for Digital Economy research and a vibrant environment that draws together a national research Hub, CDT and a network of over 100 industry, academic and international partners. We currently provide access to a network of >80 potential supervisors, ranging from leading Professors to talented early career researchers. This extends to academic partners at other Universities who will be involved in co-hosting and supervising our students, including the Centre for Computing and Social Responsibility at De Montfort University. We run an integrated four-year training programme that features: a bespoke core covering key topics in Future Products, Enabling Technologies, Innovation and Responsibility; optional advanced specialist modules; internship and international exchanges; industry-led challenge projects; training in research methods and professional skills; modules dedicated to the PhD proposal, planning and write up; and many opportunities for cross-cohort collaboration including our annual industry conference, retreat and summer schools. Our Impact Fund supports students in deepening the impact of their research. Horizon has EDI considerations embedded throughout, from consideration of equal opportunities in recruitment to ensuring that we deliver an inclusive environment which supports diversity of needs and backgrounds in the student experience.

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  • Funder: UK Research and Innovation Project Code: EP/G063044/1
    Funder Contribution: 517,239 GBP

    Coal-fired generation accounts for 82% of China's total power supply. Even in the UK the coal-fired generation still accounts for 35% . Because of this, the efficient and clean burn of coal is of great importance to the energy sector. Coal gasification and the proper treatment of the generated syngas before the combustion can reduce emissions significantly through alternative power generation system such as Integrated Gasification Combined Cycle (IGCC). The syngas usually contains varying amounts of hydrogen. The existence of hydrogen in the syngas may cause undesirable flame flashback phenomenon, in which the flame propagates into the burner. The fast flame propagation speed of hydrogen can travel further upstream and even attached to the wall of the combustor. The strong heat transfer to the wall may damage the combustor components. The consequence can be very costly. Because of this, many existing combustors are not suitable for the burning of syngas. To overcome this bottle neck, in-depth knowledge of the flame dynamics of hydrogen enriched fuel is essential, which is still not available. There is also a need to study the flame-wall interactions, which are important to the life span of a combustor but have not been fully understood.In order to understand the complex combustion process of hydrogen enriched fuels, combined efforts from experimentation and numerical simulations are essential. This joint project will investigate the flame dynamics including the flame flashback phenomenon, combustion instability, and flame-wall interactions. The flame dynamics will be investigated for different types of burners with fuel variability. Due to the limitation of optical access, the flame measurements need to be complimented by high-fidelity numerical simulations. The dynamic behaviour of the flame will be experimentally captured by the innovative combustion diagnostic tools developed at Manchester. To complement the experimental work, advanced numerical simulations based on direct numerical simulation and large eddy simulation will be performed at Brunel. The proposed research activities are based on the existing tools developed by the investigators and preliminary studies that have already been carried out by the applicants. The project will further develop innovative combustion diagnostic and advanced numerical tools. The knowledge to be gained from the project research and the physical models to be developed including improved near-wall flow, heat transfer and combustion models can lead to better combustion control and combustor design. The joint project will enhance the understanding on combustion of hydrogen enriched fuels with scientific advancement in flame measurements and near-wall flow modelling. More importantly, it will enhance the development of technologies for clean combustion of hydrogen enriched fuels, leading to a clean coal industry.Collaboration This project has excellent synergy between the UK and Chinese partners. Both partners are linked to BP. The Manchester group is directly supported by BP AE to work on combustion instability. Tsinghua University is one of the few identified links of BP in China. The involvement of Siemens Industrial Turbomachinery Ltd will ensure the maximum input from a gas turbine manufacturer's point of view.Management Both partners have long term informal research connections and the well established communications will ensure the smoothing running of the project. The PIs are well experienced in working with large research consortia. Dr Zhang has close collaboration with the industrial partners.Novelty Valuable physical insight into the potentially damaging combustion phenomena of hydrogen enriched fuels such as syngas burning will be provided; Original combustion diagnostics will be developed; Advanced numerical simulations will be performed; Near-wall flow, heat transfer and combustion models for unsteady reacting flows will be developed.

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  • Funder: UK Research and Innovation Project Code: EP/X001156/1
    Funder Contribution: 4,074,940 GBP

    Healthcare relies on medical devices, yet often these have significant risk of infection and failure. The medical device market is estimated to be just under US$500 billion, while US$25 billion is spent annually on treatment of chronic wounds. As our populations becomes older, our healthcare systems are also becoming stressed by multi-antibiotic resistance and viral outbreaks. For example, 50% of initial COVID-19 fatalities were due to secondary bacterial infections [Zhou et al. The Lancet, 2020]. Medical device failure rates of up to 20% burden our health service disproportionately through device centred infection, immune rejection, or both. The biomaterials that devices and external wound care products are made from significantly influence immune and healing responses and affect the outcome of infection. In the EPSRC Programme Grant "Next Generation Biomaterials Discovery", physical surface patterns (topographies) combined with novel polymers were found which both reduce bacterial biofilm formation and increase the immune acceptance of materials in vitro and in vivo in preclinical infection models. This provides a new paradigm for biomaterials used as implants and wound care products, where novel polymers can be topographically patterned to improved healing and acceptance using bio-instruction. To exploit these findings requires targeting to specific medical device environments and elucidation of the mechanism of action for translation by industry. This project will utilise 3D printing to manufacture ChemoTopoChips containing over a thousand polymer chemistry-topography combinations that allow the possible design space to be efficiently explored and mapped using semi-automated in-vitro measurements of host immune cell and infecting pathogen interactions individually and in co-culture. These ChemoTopoChips will allow a very high content of molecular information to be extracted from biomolecules secreted into the culture media (the secretome), those adsorbed to the surface (the biointerface) and their impact on both host cells and bacteria. The same fabrication approaches will be used to make devices for preclinical testing; in vivo information will be maximised using minimally invasive monitoring of infection and healing over time and detailed analysis of explants. These information streams will be merged using artificial intelligence (specifically machine learning) to build effective models of performance and provide mechanistic insight, allowing design of materials ready for translation as medical devices outside this project. After consultation with a wide range of clinicians we have chosen to target the following two devices: -Wound care products for chronic/non-healing wounds: dressings to reduce infection, induce immune-homeostasis and promote healing in chronic wounds that result in 7000 diabetes related amputations in the UK per year and cost the NHS £1bn a year to manage. -Implants requiring tissue integration but prone to fibrosis/adhesion and biofilm-associated infection: surgical meshes used for repair of hernias or pelvic organ prolapse commonly afflicting women after childbirth. The NHS undertakes 100k such operation each year with infection rates of up to 10%, plus foreign body response complications. The team assembled to exploit this opportunity has unique experience in the areas of biomaterials, artificial intelligence, additive manufacturing and in vitro and in vivo measurements of immune and bacterial responses to biomaterials. Facilities including the recently opened £100m Nottingham Biodiscovery Institute, the recently funded EPSRC £1m suite of high resolution/high throughput 3D printers and the unique £2.5m 3DOrbiSIMS Cat2 cryo-facility. These investments in Nottingham make this the only location in the world that is capable of undertaking this project. An Advisory Board of clinicians, industrial partners and leading academics will meet annually to provide input to the project.

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  • Funder: UK Research and Innovation Project Code: EP/G062714/1
    Funder Contribution: 340,177 GBP

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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  • Funder: UK Research and Innovation Project Code: EP/N015126/1
    Funder Contribution: 4,574,890 GBP

    We will establish a UK quantum device prototyping service, focusing on design, manufacture, test, packaging and rapid device prototyping of quantum photonic devices. QuPIC will provide academia and industry with an affordable route to quantum photonic device fabrication through commercial-grade fabrication foundries and access to supporting infrastructure. QuPIC will provide qualified design tools tailored to each foundry's fabrication processes, multiproject wafer access, test and measurement, and systems integration facilities, along with device prototyping capabilities. The aim is to enable greater capability amongst quantum technology orientated users by allowing adopters of quantum photonic technologies to realise advanced integrated quantum photonic devices, and to do so without requiring in-depth knowledge. We will bring together an experienced team of engineers and scientists to provide the required breadth of expertise to support and deliver this service. Four work packages deliver the QuPIC service. They are: WP1 - Design tools for photonic simulation and design software, thermal and mechanical design packages and modelling WP2 - Wafer fabrication - Establishing the qualified component library for the different fabrication processes and materials and offering users a multi-project wafer service WP3 - Integrated device test and measurement - Automated wafer scale electrical and optical characterisation, alignment systems, cryogenic systems to support single-photon detector integration) WP4 - Packaging and prototyping - Tools for subsystem integration into hybrid and functionalised quantum photonic systems and the rapid prototyping of novel, candidate component designs before wafer-scale manufacturing and testing The design tools (WP1) will provide all the core functionality and component libraries to allow users to design quantum circuits, for a range of applications. We will work closely with fabrication foundries (WP2) to qualify the design libraries and to provide affordable access to high-quality devices via a multi-project wafer approach, where many users share the fabrications costs. Specialist test and measurement facilities (WP3) will provide rapid device characterization (at the wafer level), whilst packaging and prototyping tools (WP4) will allow the assembly of subsystems into highly functionalised quantum photonic systems.

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