Energy storage devices such as batteries and capacitors have become an integral part of our daily life and there is a tremendous zeal to accelerate this technology to be used in electric vehicles and grid storage. It also plays a vital role in mitigating climate change, and enables a low carbon economy by storing and utilising the energy generated from renewable resources. Although lithium ion batteries (LIBs) have dominated the market from 1990's, the shortage of resources and challenges faced in recycling LIBs which contain hazardous and reactive materials will have a detrimental effect on UK and make it dependent on external markets. Therefore, there is an urgent need to develop energy storage devices with environmentally benign and sustainable materials that are easy to recycle which would lead the way to a circular economy. In this regard, Zn ion capacitors (ZICs) offer a sustainable, cost-effective (cost-per-kWh) and safe energy storage system which is also easy to recycle. Building on our previous work on using vitamin based ionic liquid electrolytes in batteries that are environmentally benign, the current project aims at developing Zn ion capacitors (ZICs) having high energy and power densities. This would lead ZICs to charge at a faster rate and store more energy. As an emerging topic, the major challenge in ZICs is the size and charge of Zn ions which are difficult to store at the cathode and leads to lower capacity and limited cyclability. Therefore, the project aims at 1. Developing suitable hybrid cathodes with 2D porous carbon embedded with transition metal oxides that can improve electronic conductivity and diffusion kinetics of Zn ions to obtain high power density, and also inducing storage sites in the cathode to obtain high energy density. 2. Understanding the Zn storage mechanism and impedimental reactions which take place in the capacitors by in situ measurement techniques in collaboration with Diamond Light Source. 3. Modulating the cathode to mitigate the impedimental reactions and improve the ZIC performance. 4. Engaging with project partners (TWI) for scale-up and implementation

UK is the world's 9th largest manufacturing country [1]. Machining is one of the most used processes for producing precision parts used in aerospace and automotive industries. The demand for high performance and quality assured parts requires high precision, often over a large scale resulting in increased manufacturing costs. It has become a rule of thumb that precise machines with stiff structures and large foot prints are required for machining precision parts. As a consequence, machining costs grow exponentially as the precision increases. This has resulted in the development of expensive and non-value adding off-line verification and error compensation methods. However, these methods do not take the impact of cutting tool/workpiece geometry, cutting forces and time variable errors into account. The uptake of additive manufacturing has also resulted in generation of optimised parts often with complex geometries and thin and high walls which require finish machining with long slender tools. In these scenarios, cutting forces can bend the tool and the workpiece resulting in geometrical inaccuracies. Fluctuating cutting forces result in chatter leading to damaged surface integrity and short tool life. Using new sensors, advanced signal processing and intelligent control systems can provide the ability to detect geometrical and surface anomalies when machining, and provide data to generate strategies to prevent costly mistakes and poor quality. However, off-the-shelf sensors and data transmission devices are not necessarily suitable for monitoring and controlling machining processes. Existing high precision sensors are either too large or too expensive making them only useful for laboratory applications. Conventional statistical and process control methods cannot cope with high data sampling rates required in machining. The proposed research will realise low-cost sensors with nano scale resolution specific to machining, tools and intelligent control methods for precision machining of large parts by detecting and preventing anomalies during machining to ensure high precision part manufacture and prevent scrap production. [1] Rhodes, C., 2018, Briefing Paper No. 05809, Manufacturing: International comparisons, House of Commons Library.

Composites are truly the materials of the future, due to their excellent properties such as high strength to weight ratio, and their use is rising exponentially, continuing to replace or augment traditional materials in different sectors such as aerospace, automotive, wind turbine blades, civil engineering infrastructure and sporting goods. A good example is the construction of large aircraft such as the Airbus A350 and Boeing 787 which are 53% and 50% composite by weight, respectively. However, while the fibre dominant properties guarantee excellent in-plane load-bearing characteristics, traditional composite materials exhibit weak resistance to out-of-plane loads, making them susceptible to barely visible impact damage (BVID) under impact loads that can happen during manufacturing or in service. BVID can drastically reduce the strength, without any visible warning. Structures that look fine can fail suddenly at loads much lower than expected. This weak impact resistance together with the complexity of the failure mechanisms typical of composite systems led in the past decade to complex and expensive maintenance/inspection procedures. Therefore, a significantly greater safety margin than other materials leads to conservative design in composite structures. Based on these premises, the need is clear for a comprehensive solution that matches the requirements of lightweight structures with the need for high impact resistance and ease of inspection. This project is aimed at the design and development of next generation of high-performance impact resistant composites with visibility of damage and improved compression after impact strength. These exceptional properties are caused with ability to visualise and control failure modes to happen in an optimised way. Energy would be absorbed by gradual and sacrificial damage, strength would be maintained, and there would be visible evidence of damage. This would eliminate the need for very low design strains to cater for BVID, providing a step change in composite performance, leading to greater reliability and safety, together with reduced design and maintenance requirements, and longer service life. This is an exciting opportunity to develop this novel proposed technology with my extensive industrial partners, a potentially transformative prospect for the UK composites research and industry.

Composites are truly the materials of the future, due to their excellent properties such as high strength to weight ratio, and their use is rising exponentially, continuing to replace or augment traditional materials in different sectors such as aerospace, automotive, wind turbine blades, civil engineering infrastructure and sporting goods. A good example is the construction of large aircraft such as the Airbus A350 and Boeing 787 which are 53% and 50% composite by weight, respectively. However, while the fibre dominant properties guarantee excellent in-plane load-bearing characteristics, traditional composite materials exhibit weak resistance to out-of-plane loads, making them susceptible to barely visible impact damage (BVID) under impact loads that can happen during manufacturing or in service. BVID can drastically reduce the strength, without any visible warning. Structures that look fine can fail suddenly at loads much lower than expected. This weak impact resistance together with the complexity of the failure mechanisms typical of composite systems led in the past decade to complex and expensive maintenance/inspection procedures. Therefore, a significantly greater safety margin than other materials leads to conservative design in composite structures. Based on these premises, the need is clear for a comprehensive solution that matches the requirements of lightweight structures with the need for high impact resistance and ease of inspection. This project is aimed at the design and development of next generation of high-performance impact resistant composites with visibility of damage and improved compression after impact strength. These exceptional properties are caused with ability to visualise and control failure modes to happen in an optimised way. Energy would be absorbed by gradual and sacrificial damage, strength would be maintained, and there would be visible evidence of damage. This would eliminate the need for very low design strains to cater for BVID, providing a step change in composite performance, leading to greater reliability and safety, together with reduced design and maintenance requirements, and longer service life. This is an exciting opportunity to develop this novel proposed technology with my extensive industrial partners, a potentially transformative prospect for the UK composites research and industry.

The chemical and pharmaceutical industries are currently reliant on petrochemical derived intermediates for the synthesis of a wide range of valuable chemicals, materials and medicines. Decreasing petrochemical reserves, and concerns over increasing cost and greenhouse gas emissions, are now driving the search for renewable and environmentally friendly sources of these critically needed compounds. This project aims to establish a range of new manufacturing technologies for efficient conversion of biomass in agricultural waste streams into sustainable sources of these valuable chemical intermediates. The UK Committee on Climate Change (2018) has highlighted the importance of the efficient use of agricultural biomass in tackling climate change. The work undertaken in this project will contribute to this effort and help the UK government achieve its stated target of 'net-zero emissions' by 2050. The new approaches will be exemplified using UK-sourced Sugar Beet Pulp (SBP) a renewable resource in which the UK is self-sufficient. Over 8 million tonnes of sugar beet is grown annually in the UK on over 3500 farms concentrated in East Anglia and the East Midlands. After harvest, the beet is transported to a small number of advanced biorefineries to extract the main product; the sucrose we find in table sugar. SBP is the lignocellulosic material left after sucrose extraction. Currently it is dried (requiring energy input) and then sold as a low-value animal feed. SBP is primarily composed of two, naturally occurring, biological polymers; cellulose and pectin. Efficient utilisation of this biomass waste stream demands that applications are found for both of these. This work will establish the use of the cellulose nanofibres for making antimicrobial coatings and 3D-printed scaffolds (in which cells can be cultured for tissue engineering and regenerative medicine applications). The pectin will be broken down into its two main components: L-arabinose and D-galacturonic acid. The L-arabinose can be used directly as a low-calorie sweetener to combat the growing problem of obesity. The D-galacturonic acid will be modified in order to allow formation of biodegradable polymers which have a wide range of applications. This new ability to convert SBP into a range of useful food, chemical and healthcare products is expected to bring significant social, economic and environmental benefits. In conducting this research we will adopt a holistic approach to the design of integrated biorefineries in which these new technologies will be implemented. Computer-based modelling tools will be used to assess the efficiency of raw material, water and energy utilisation. Techno-Economic Analysis (TEA) and Life Cycle Analysis (LCA) approaches will be employed to identify the most cost-effective and environmentally benign product and process combinations for potential commercialisation. The results will be widely disseminated to facilitate public engagement with the research and ethical evaluation. In this way the work will support the UK in its transition to a low-carbon, bio-based circular economy.