Bonding optical materials (glasses, crystals) to other optical or structural materials (metals, ceramics) is a key manufacturing challenge for many optical devices, as clearly articulated by our industrial partners. Our solution is to use an ultra-short pulsed laser welding process that has shown great promise but currently requires many months or even years of detailed experiments for each new material combination and geometry. Hence applications are currently limited to components made from borosilicate glasses or quartz welded to aluminium alloys and stainless steel, of typical dimension 10 mm. In this project our drive is to extend the process to new combinations of materials (including important IR materials) and shapes. To achieve this, the project will take a multi-pronged approach: (i) to create the modelling and sensing tools essential for rapid process optimisation; (ii) to engineer a new optimised laser source based on emerging 2 micron wavelength technologies, pioneering the welding process for IR optical materials; (iii) to research concepts for engineering the interface and weld/joint geometry to reduce the impact of differential thermal properties of the two materials; and (iv) to investigate scaleable welding approaches for larger parts e.g. continuous meander patterns and dynamic clamping. Finally, we will undertake a series of proof-of-principle experiments to determine the suitability of the process with a wide range of material combinations, directed towards our industrial partners' applications. Our programme of manufacturing research is aligned with the interests of our industrial collaborators, together with the academic drivers of laser material interaction knowledge, process understanding and process control. Our ultimate goal is to develop this welding process into a truly flexible and generic solution for joining optical to structural materials at a range of scales.

The 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.

Manufacture Using Advanced Powder Processes - MAPP Conventional materials shaping and processing are hugely wasteful and energy intensive. Even with well-structured materials circulation strategies in place to recondition and recycle process scrap, the energy use, CO2 emitted and financial costs associated are ever more prohibitive and unacceptable. We can no longer accept the traditional paradigm of manufacturing where excess energy use and high levels of recycling / down cycling of expensive and resource intensive materials are viewed as inevitable and the norm and must move to a situation where 100% of the starting material is incorporated into engineering products with high confidence in the final critical properties. MAPP's vision is to deliver on the promise of powder-based manufacturing processes to provide low energy, low cost, and low waste high value manufacturing route and products to secure UK manufacturing productivity and growth. MAPP will deliver on the promise of advanced powder processing technologies through creation of new, connected, intelligent, cyber-physical manufacturing environments to achieve 'right first time' product manufacture. Achieving our vision and realising the potential of these technologies will enable us to meet our societal goals of reducing energy consumption, materials use, and CO2 emissions, and our economic goals of increasing productivity, rebalancing the UK's economy, and driving economic growth and wealth creation. We have developed a clear strategy with a collaborative and interdisciplinary research and innovation programme that focuses our collective efforts to deliver new understanding, actions and outcomes across the following themes: 1) Particulate science and innovation. Powders will become active and designed rather than passive elements in their processing. Control of surface state, surface chemistry, structure, bulk chemistry, morphologies and size will result in particles designed for process efficiency / reliability and product performance. Surface control will enable us to protect particles out of process and activate them within. Understanding the influence between particle attributes and processing will widen the limited palette of materials for both current and future manufacturing platforms. 2) Integrated process monitoring, modelling and control technologies. New approaches to powder processing will allow us to handle the inherent variability of particulates and their stochastic behaviours. Insights from advanced in-situ characterisation will enable the development of new monitoring technologies that assure quality, and coupled to modelling approaches allow optimisation and control. Data streaming and processing for adaptive and predictive real-time control will be integral in future manufacturing platforms increasing productivity and confidence. 3) Sustainable and future manufacturing technologies. Our approach will deliver certainty and integrity with final products at net or near net shape with reduced scrap, lower energy use, and lower CO2 emissions. Recoupling the materials science with the manufacturing science will allow us to realise the potential of current technologies and develop new home-grown manufacturing processes, to secure the prosperity of UK industry. MAPP's focused and collaborative research agenda covers emerging powder based manufacturing technologies: spark plasma sintering (SPS), freeze casting, inkjet printing, layer-by-layer manufacture, hot isostatic pressing (HIP), and laser, electron beam, and indirect additive manufacturing (AM). MAPP covers a wide range of engineering materials where powder processing has the clear potential to drive disruptive growth - including advanced ceramics, polymers, metals, with our initial applications in aerospace and energy sectors - but where common problems must be addressed.

Disassembly is an essential operation in many industrial activities including repair, remanufacturing and recycling. Disassembly tends to be manually carried out - it is labour intensive and usually inefficient. Disassembly requires high-level dexterity in manipulations and thereby can be more difficult to robotise in comparison to the tasks that have no physical contacts (e.g. computer visual inspection) or simple contacts (e.g. cutting, welding, pick-and-place). Robotic disassembly has the potential to improve the productivity of repair, remanufacturing, recycling, all of which have been recognised as key components of a more circular economy. The existing procedure and state-of-the-art techniques for disassembly automation usually require a comprehensive analysis of a disassembly task, correct design of sensing and compliance facilities, efficient task plans, and a reliable system integration. It is usually a complex, expensive and time-consuming process to implement a robotic disassembly system. This project will develop a self-learning mechanism to allow robots to learn disassembly tasks and the respective control strategies autonomously, by combining multidimensional sensing and machine learning techniques. This capability will help build a more plug-and-play disassembly automation system, and reduce the technical difficulties and the implementation costs of disassembly automation. It is expected the next generation industrial robotics can be adopted in more complex and uncertain tasks such as maintenance, cleaning, repair, remanufacturing and recycling, where many processes are contact-rich. Disassembly is a typical contact-rich task. The Principal Investigator envisages that self-learning robotic disassembly will provide key understandings and technologies that can be adopted to the automation of other types of contact-rich tasks in the future to encourage a wider adoption of robots in the UK industry.

Hybrid Manufacturing concerns digitally-driven and template-less manufacturing processes which are founded on cross-technology process platforms. Our group focuses on how truly transformative capability may be realised by the next generations of this ideology. Our Hybrid Manufacturing Process research is founded on the premise that future generations of products, with multi-faceted complexity and transformative capability may be realised through the combination of multiple process technologies within a singular platform, while incorporating emerging research from the physical sciences (such as functional materials). This aims to provide an exponential increase in the capability for complex manufacturing and the magnitude of resultant value. Our pioneering research has been recognised by a number of eminent parties and international peers. Our research group possess unique research capability, which is significantly due to the recruitment and development of a cohort of outstanding researchers and our suite of globally unique experimental manufacturing apparatus. The growth and momentum of our current activity, along with our pipeline of future research and innovation, now warrants a supporting platform in order to secure and maintain our world-leading position. It will enable us to stengthen our strategic approach to leading research, allow us to continue to shape and capitalise on emerging opportunities, and further develop the next generation of truly interdisciplinary research leaders. This will ensure that the UK remains at the forefront of this exciting and valuable field of manufacturing process research.