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.

We will launch a new CDT, focused on composite materials and manufacturing, to deliver the next generation of composites research and technology leaders equipped with the skills to make an impact on society. In recent times, composites have been replacing traditional materials, e.g. metals, at an unprecedented rate. Global growth in their use is expected to be rapid (5-10% annually). This growth is being driven by the need to lightweight structures for which 'lighter is better', e.g. aircraft, automotive car bodywork and wind blades; and by the benefits that composites offer to functionalise both materials and structures. The drivers for lightweighting are mainly material cost, fuel efficiency, reducing emissions contributing to climate change, but also for more purely engineering reasons such as improved operational performance and functionality. For example, the UK composites sector has contributed significantly to the Airbus A400M and A350 airframes, which exhibit markedly better performance over their metallic counterparts. Similarly, in the wind energy field, typically, over 90% of a wind turbine blade comprises composites. However, given the trend towards larger rotors, weight and stiffness have become limiting factors, necessitating a greater use of carbon fibre. Advanced composites, and the possibility that they offer to add extra functionality such as shape adaptation, are enablers for lighter, smarter blades, and cheaper more abundant energy. In the automotive sector, given the push for greener cars, the need for high speed, production line-scale, manufacturing approaches will necessitate more understanding of how different materials perform. Given these developments, the UK has invested heavily in supporting the science and technology of composite materials, for instance, through the establishment of the National Composites Centre at the University of Bristol. Further investments are now required to support the skills element of the UK provision towards the composites industry and the challenges it presents. Currently, there is a recognised skills shortage in the UK's technical workforce for composites; the shortage being particularly acute for doctoral skills (30-150/year are needed). New developments within industry, such as robotic manufacture, additive manufacture, sustainability and recycling, and digital manufacturing require training that encompasses engineering as well as the physical sciences. Our CDT will supply a highly skilled workforce and technical leadership to support the industry; specifically, the leadership to bring forth new radical thinking and the innovative mind-set required to future-proof the UK's global competitiveness. The development of future composites, competing with the present resins, fibres and functional properties, as well as alternative materials, will require doctoral students to acquire underpinning knowledge of advanced materials science and engineering, and practical experience of the ensuing composites and structures. These highly skilled doctoral students will not only need to understand technical subjects but should also be able to place acquired knowledge within the context of the modern world. Our CDT will deliver this training, providing core engineering competencies, including the experimental and theoretical elements of composites engineering and science. Core engineering modules will seek to develop the students' understanding of the performance of composite materials, and how that performance might be improved. Alongside core materials, manufacturing and computational analysis training, the CDT will deliver a transferable skills training programme, e.g. communication, leadership, and translational research skills. Collaborating with industrial partners (e.g. Rolls Royce) and world-leading international expertise (e.g. University of Limerick), we will produce an exciting integrated programme enabling our students to become future leaders.

We are witnessing huge global shifts towards cleaner growth and more resource efficient economies. The drive to lower carbon emissions is resulting in dramatic changes in how we travel and the ways we generate and use energy worldwide. Electrical machines are at the heart of the accelerating trends in the electrification of transport and the increased use of renewable energy such as offshore wind. To address the pressing drivers for clean growth and meet the increasing demands of new applications, new electrical machines with improved performance - higher power density, lower weight, improved reliability - are being designed by researchers and industry. However, there are significant manufacturing challenges to be overcome if UK industry is going to be able to manufacture these new machines with the appropriate cost, flexibility and quality. The Hub's vision is to put UK manufacturing at the forefront of the electrification revolution. The Hub will address key manufacturing challenges in the production of high integrity and high value electrical machines for the aerospace, energy, high value automotive and premium consumer sectors. The Hub will work in partnership with industry to address some common and fundamental barriers limiting manufacturing capability and capacity: the need for in-process support to manual operations in electrical machine manufacture - e.g. coil winding, insertions, electrical connections and wiring - to improve productivity and provide quality assurance; the sensitivity of high value and high integrity machines to small changes in tolerance and the requirement for high precision in manufacturing for safety critical applications; the increasing drive to low batch size, flexibility and customisation; and the need to train the next generation of manufacturing scientists and engineers. The Hub's research programme will explore new and emerging manufacturing processes, new materials for enhanced functionality and/or light-weighting, new approaches for process modelling and simulation, and the application of digital approaches with new sensors and Industrial Internet of Things (IoT) technologies.

The aerospace industry is at a turning point: environmental concerns, legal frameworks and new energy sources mean that the industry needs to explore a different structural design space for composite aircraft configurations. Yet this is not readily possible using the slower experimentally-heavy design pyramid followed by industry in the past. The above scenario makes a compelling case for numerical structural design of very large integrated composite aircraft structures, but this problem is intractable. My vision is that structural design of very large composite structures can be enabled by a new simulation paradigm: I propose that, during the analysis, CAE models of very large structures adapt in real-time the scale of idealisation as required (adaptive multiscale), adapt in real-time the configuration of the structure (adaptive configuration), and where intelligent algorithms work at the back-end (HPC cluster) to extract high-value data from over 1 Tb output databases as they are being built. This paradigm will enable numerical design of very large integrated composite structures, thus having a significant impact on the emergence of much-needed new aircraft configurations.

Current automation is reliant on large volume applications, with predictable market demands and stable product variants. For companies in emerging and global markets, it is difficult to adopt automation and remain responsive to market changes; as a result companies that need to be responsive are forced to adopt more expensive manual approaches, or rely on off-shore manufacturing in lower wage economies. To address this, UK manufacturing needs more responsive automation. This project will investigate means to reduce the effort of deploying and repurposing generic off-the-shelf robots and mobile autonomous platforms, and provide them with the ability to work in teams with people and other robots. This will provide the foundation to use Industrial Robots-as-a-Service (IRaaS). The IRaaS model will allow manufacturers to quickly respond to meet the demands of changing markets, dynamically organise work to maximise their productivity, and be less exposed to any sudden shocks and system failures. This will augment the capability of the skilled human workforce who will be enabled by automation that is responsive to human-defined production needs. The IRaaS model will also bring the key benefits inherent to product service systems. From a reliability perspective, the system will be resilient as malfunctioning robots can easily be replaced; from a financial perspective, the model will remove the need for large capital investment by enabling subscription based services; and from an environmental perspective, it will enable sustainable manufacturing concepts such as repair, re-use and re-manufacture, eliminating the waste and cost of decommissioning monolithic automation equipment.