Composite materials are becoming increasingly important for light-weight solutions in the transport and energy sectors. Reduced structural weight, with improved mechanical performance is essential to achieve aerospace and automotive's sustainability objectives, through reduced fuel-burn, as well as facilitating new technologies such as electric and hydrogen fuels. The nature of fibre reinforced composite materials however makes them highly susceptible to variation during the different stages of their manufacture. This can result in significant reductions in their mechanical performance and design tolerances not being met, reducing their weight saving advantages through requiring "over design". Modelling methods able to simulate the different processes involved in composite manufacture offer a powerful tool to help mitigate these issues early in the design stage. A major challenge in achieving good simulations is to consider the variability, inherent to both the material and the manufacturing processes, so that the statistical spread of possible outcomes is considered rather than a single deterministic result. To achieve this, a probabilistic modelling framework is required, which necessitates rapid numerical tools for modelling each step in the composite manufacturing process. Focussing specifically on textile composites, this project will develop a new bespoke solver, with methods to simulate preform creation, preform deposition and finally, preform compaction, three key steps of the composite manufacturing process. Aided by new and developing processor architectures, this bespoke solver will deliver a uniquely fast, yet accurate simulation capability. The methods developed for each process will be interrogated through systematic probabilistic sensitivity analyses to reduce their complexity while retaining their predictive capability. The aim being to find a balance between predictive capability and run-time efficiency. This will ultimately provide a tool that is numerically efficient enough to run sufficient iterations to capture the significant stochastic variation present in each of the textile composite manufacturing processes, even at large, component scale. The framework will then be applied to industrially relevant problems. Accounting for real-world variability, the tools will be used to optimise the processes for use in design and to further to explore the optimising of manufacturing processes. Close collaboration with the project's industrial partners and access to their demonstrator and production manufacturing data will ensure that the tools created are industry relevant and can be integrated within current design processes to achieve immediate impact. This will enable a step change in manufacturing engineers' ability to reach an acceptable solution with significantly fewer trials, less waste and faster time to market, contributing to the digital revolution that is now taking place in industry.

Society is driving the need for Responsive Manufacturing and requires fundamental research to come-up with strategies that can complement existing Modern Manufacturing Practice (MPP) (e.g. batch, mass and just-in-time). Driver 1 is Big Demand, which concerns the response, volume, variety and location in demand, arising from large-scale events, such as COVID-19, Brexit, Disaster Response, Global Financial Crisis and War, and mass-customisation/bespoke products simply cannot be met by MPP, such as automotive production lines and supply chains, as they have been optimised for particular products. Driver 2 is accommodating dynamic production constraints. COVID-19's measures of social distancing and tiering system as well as trade disputes (Brexit and America vs. China) have shown how quickly MPP can be severed, significantly reducing supply to society. Driver 3 is facilitating manufacturing independence. MMP has enabled large developed nations - America, China, EU, Japan, South Korea, India - to provide production capability that developed smaller (e.g. UK, Switzerland) and developing nations would not have had access to. However, many society's view manufacturing independence as a strategic goal (e.g. Reshoring) especially in light of Drivers 1 & 2 where a nations reliance on other nations' manufacturing capability leaves them vulnerable and without the capability to combat their national needs. Brokered Additive Manufacturing (BAM) will prove that these drivers can be met through a nation's highly distributed and diverse Additive Manufacturing (AM) capability if it can be effectively brokered. BAM brings together world-leading researchers from the Schools of Civil, Mechanical and Aerospace engineering and Business Management, 300+ leaders in the AM industry (GTMA, AMUG, AT 3D Squared) and Model-Based Systems Engineering (CFMS), and industry/government initiatives (Reshoring UK) to create novel brokering of highly distributed and diverse manufacturing systems. BAM's transdisciplinary approach will see the team: 1. profile Big Demand, dynamic production constraints and local, regional, national and global contexts to facilitate independence. 2. develop Business Models and Government Policy. 3. characterise AM capability. 4. create Production System boundary condition models and agent-based models of BAM that simulate both human and machine brokering of jobs at community, regional, national and international scales. BAM solutions will be evaluated through controlled lab experiments, living labs and development of industry demonstrators. The solutions will give rise to a new class of production system that broker highly distributed and diverse manufacturing capability (e.g. AM). This will underpin factories of the future that are not confined to single facilities but are as diverse and distributed as the manufacturing capability they house, revolutionising society's production giving it greater flexibility and responsiveness to meet our future needs.

The EPSRC CDT in Net Zero Aviation in partnership with Industry will collaboratively train the innovators and researchers needed to find the novel, disruptive solutions to decarbonise aviation and deliver the UK's Jet Zero and ATI's Destination Zero strategies. The CDT will also establish the UK as an international hub for technology, innovation and education for Net Zero Aviation, attracting foreign and domestic investment as well as strengthening the position of existing UK companies. The CDT in Net Zero Aviation is fully aligned with and will directly contribute to EPSRC's "Frontiers in Engineering and Technology" and "Engineering Net Zero" priority areas. The resulting skills, knowledge, methods and tools will be decisive in selecting, integrating, evaluating, maturing and de-risking the technologies required to decarbonise aviation. A systems engineering approach will be developed and delivered in close collaboration with industry to successfully integrate theoretical, computational and experimental methods while forging cross theme collaborations that combine science, technology and engineering solutions with environmental and socio-economic aspects. Decarbonising aviation can bring major opportunities for new business models and services that also requires a new policy and legislative frameworks. A tailored, aviation focused training programme addressing commercialisation and route to market for the Net Zero technologies, operations and infrastructure will be delivered increasing transport and employment sustainability and accessibility while improving transport connectivity and resilience. Over the next decade innovative solutions are needed to tackle the decarbonisation challenges. This can be only achieved by training doctoral Innovation and Research Leaders in Net Zero Aviation, able to grasp the technology from scientific fundamentals through to applied engineering while understanding the associated science, economics and social factors as well as aviation's unique operational realities, business practices and needs. Capturing the interdependencies and interactions of these disciplines a transdisciplinary programme is offered. These ambitious targets can only be realised through a cohort-based approach and a consortium involving the most suitable partners. Under the guidance of the consortium's leadership team, students will develop the required ethos and skills to bridge traditional disciplinary boundaries and provide innovative and collaborative solutions. Peer to peer learning and exposure to an appropriate mix of disciplines and specialities will provide the opportunity for individuals and interdisciplinary teams to collaborate with each other and ensure that the graduates of the CDT will be able to continually explore and further develop opportunities within, as well as outside, their selected area of research. Societal aspects that include public engagement, awareness, acceptance and influencing consumer behaviour will be at the heart of the training, research and outreach activities of the CDT. Integration of such multidisciplinary topics requires long term thinking and awareness of "global" issues that go beyond discipline and application specific solutions. As such the following transdisciplinary Training and Research Themes will be covered: 1. Aviation Zero emission technologies: sustainable aviation fuels, hydrogen and electrification 2. Ultra-efficient future aircraft, propulsion systems, aerodynamic and structural synergies 3. Aerospace materials & manufacturing, circular economy and sustainable life cycle 4. Green Aviation Operations and Infrastructure 5. Cross cutting disciplines: Commercialisation, Social, Economic and Environmental aspects 75 students across the UK, from diverse backgrounds and communities will be recruited.

The UK Foundation Industries (Glass, Metals, Cement, Ceramics, Bulk Chemicals and Paper), are worth £52B to the UK economy, produce 28 million tonnes of materials per year and account for 10% of the UK total CO2 emissions. These industries face major challenges in meeting the UK Government's legal commitment for 2050 to reduce net greenhouse gas emissions by 100% relative to 1990, as they are characterised by highly intensive use of both resources and energy. While all sectors are implementing steps to increase recycling and reuse of materials, they are at varying stages of creating road maps to zero carbon. These roadmaps depend on the switching of the national grid to low carbon energy supply based on green electricity and sustainable sources of hydrogen and biofuels along with carbon capture and storage solutions. Achievement of net zero carbon will also require innovations in product and process design and the adoption of circular economy and industrial symbiosis approaches via new business models, enabled as necessary by changes in national and global policies. Additionally, the Governments £4.7B National Productivity Investment Fund recognises the need for raising UK productivity across all industrial sectors to match best international standards. High levels of productivity coupled with low carbon strategies will contribute to creating a transformation of the foundation industry landscape, encouraging strategic retention of the industries in the UK, resilience against global supply chain shocks such as Covid-19 and providing quality jobs and a clean environment. The strategic importance of these industries to UK productivity and environmental targets has been acknowledged by the provision of £66M from the Industrial Strategy Challenge Fund to support a Transforming Foundation Industries cluster. Recognising that the individual sectors will face many common problems and opportunities, the TFI cluster will serve to encourage and facilitate a cross sectoral approach to the major challenges faced. As part of this funding an Academic Network Plus will be formed, to ensure the establishment of a vibrant community of academics and industry that can organise and collaborate to build disciplinary and interdisciplinary solutions to the major challenges. The Network Plus will serve as a basis to ensure that the ongoing £66M TFI programme is rolled out, underpinned by a portfolio of the best available UK interdisciplinary science, and informed by cross sectoral industry participation. Our network, initially drawn from eight UK universities, and over 30 industrial organisations will support the UK foundation industries by engaging with academia, industry, policy makers and non-governmental organisations to identify and address challenges and opportunities to co-develop and adopt transformative technologies, business models and working practices. Our expertise covers all six foundation industries, with relevant knowledge of materials, engineering, bulk chemicals, manufacturing, physical sciences, informatics, economics, circular economy and the arts & humanities. Through our programme of mini-projects, workshops, knowledge transfer, outreach and dissemination, the Network will test concepts and guide the development of innovative outcomes to help transform UK foundation industries. The Network will be inclusive across disciplines, embracing best practice in Knowledge Exchange from the Arts and Humanities, and inclusive of the whole UK academic and industrial communities, enabling access for all to the activity programme and project fund opportunities.

Distributed Energy Resources (DERs) are small, modular energy generation and storage units, e.g., wind turbines, photovoltaics, batteries, and electric vehicles, that could be connected directly to the power distribution network. DERs play a critical role in achieving Net Zero. Presently there are over 1 million homes with solar panels in the UK. With the green energy transition well under way in the UK, by 2050 there could be tens of millions of DERs connected to the UK power grid. Although DERs have many benefits, e.g., a reduced carbon footprint and improved energy affordability, they present complex challenges for network operators (e.g., low DER visibility, bi-directional power flow, and voltage anomalies), creating a major barrier to Net Zero. Meanwhile, natural hazards and extreme events are an increasing threat not only to humans but also power grid resilience - a direct impact is the power cuts, e.g., Storms "Dudley", "Eunice" and "Franklin" in February 2022 left over a million homes without electricity. How best to manage millions of DERs is still an open question, especially for improving the grid resilience to natural hazards and extreme events, e.g., storms and heatwaves. This project will develop innovative physics-informed Artificial Intelligence (AI) solutions for enabling Virtual Power Plants (VPP), capable of aggregating and managing many diverse DERs; not only improving decision-making for network operators but also enhancing the grid resilience to natural hazards and extreme events. These could also lead to reduced energy bills for millions of UK energy consumers, less power cuts during extreme events, to greater adoption and more efficient management of DERs, and ultimately to enable rapid progress towards Net Zero.