Over thirty six months, this project aims to demonstrate the potential of a highly disruptive zero emission, high efficiency electricity generator concept for use in transport and power generation applications. A Zero-Emission Closed-loop linear-Joule CYcle (ZECCY) engine generator which yields only liquid water as an emission (i.e. no particulates, or gas phase emissions). As such, it is analogous with hydrogen-fuel cell technology but more lightweight, potentially more efficient and based on a well-established UK manufacturing base. This project will demonstrate the true potential of this technology for vehicle applications by: a. Completing the manufacture, assembly and commissioning of a concept demonstrator through the development of an existing test platform b. Gather the evidence required to advance the project successfully by conducting a robust testing programme underpinned by rigorous simulation and performance improvement. c. Establish the future case of ZECCY generator technology through the development of a technical and commercial roadmap to deployment.

Remanufacturing is "the process of returning a used product to at least OEM original performance specification from the customers' perspective and giving the resultant product warranty that is at least equal to that of a newly manufactured equivalent". Remanufacturing can be more sustainable than manufacturing de novo "because it can be profitable and less harmful to the environment ...". Remanufacturing is a sizable industry. For example, in the USA, there are more than 73,000 companies engaged in remanufacturing. They employ 350,000 people and have turnovers totalling $53 billion. A key step in remanufacturing is disassembly of the returned product to be remanufactured. As it is complex, disassembly tends to be manually executed and is labour intensive. We propose to develop robotic technology allowing disassembly to be carried out with minimal human intervention or in a collaborative fashion by man and machine. We aim to facilitate the cost-effective robotisation of this critical step in remanufacturing to unlock the potential of remanufacturing and make it feasible for many more companies to adopt, thus helping to expand the UK's £2.35 Billion remanufacturing industry. Our research will start with a detailed investigation of disassembly processes aimed at fundamentally understanding them. Such a fundamental understanding does not currently exist but is necessary to support the development of robust disassembly strategies and systems that can autonomously handle variability in the product. We will study basic common tasks such as unscrewing, removal of pins from holes with small clearances, separation of press-fit components, extraction of elastic parts (e.g. O-rings and circlips) and breaking up of 'permanently' assembled components. We will analyse those generic disassembly tasks for feedback information that can be obtained while a robot is performing them. We will employ different types of sensors to provide feedback appropriate to a given task. In addition to visual sensing, we will focus on using contact forces and moments as a means to gauge the state of the disassembly operation. To counteract uncertainties, such feedback will be helpful in guiding the robot and avoiding damage to the components being taken apart. We will apply the acquired basic process knowledge methodically to create models, scheduling algorithms and learning tools to enable autonomous or semi-autonomous disassembly by robotic systems. We will develop strategies for planning and implementing multi-robot operation when the disassembly task is too complex for one machine. We will devise techniques for effective collaboration between humans and robots in cases where the work is too difficult for people or for machines on their own. We will validate these plans, strategies and techniques experimentally and will give public demonstrations of collaborative robotic disassembly using real products as examples. Our multi-disciplinary project team, with experience in robotic assembly, intelligent systems, CAD/CAM and process modelling, will be supported by three industrial partners (Caterpillar, Meritor and MG Motor). These user companies will supply case studies for evaluating the research results. Two technology translators (the Manufacturing Technology Centre and the High Speed Sustainable Manufacturing Institute) will contribute to converting laboratory-based technology into solutions ready for deployment on an industrial scale.

Over thirty six months, this project aims to demonstrate the potential of a highly disruptive zero emission, high efficiency electricity generator concept for use in transport and power generation applications. A Zero-Emission Closed-loop linear-Joule CYcle (ZECCY) engine generator which yields only liquid water as an emission (i.e. no particulates, or gas phase emissions). As such, it is analogous with hydrogen-fuel cell technology but more lightweight, potentially more efficient and based on a well-established UK manufacturing base. This project will demonstrate the true potential of this technology for vehicle applications by: a. Completing the manufacture, assembly and commissioning of a concept demonstrator through the development of an existing test platform b. Gather the evidence required to advance the project successfully by conducting a robust testing programme underpinned by rigorous simulation and performance improvement. c. Establish the future case of ZECCY generator technology through the development of a technical and commercial roadmap to deployment.

Despite of the fact that electrical cars are under development and have the potential to provide alternatives for short distance light duty transport, the internal combustion engine will continue to be the main power unit in vehicles for several decades to come. Compared with extensive research on combustion and after-treatment systems, little work has been completed with respect to engine system control optimisation, leaving considerable room to improve fuel economy and lower emissions. Current engine calibration process relies on deriving static tabular relationships and the corresponding values between each calibrated engine operating point, with closed-loop feedback control to adjust the settings accordingly for air-fuel ratio control in real engine operation so as to meet the performance targets and emissions legislation. Such a widely adopted method, however, is not efficient in achieving the best fuel economy of the vehicle due to the constraints in the time duration and cost of engine-bed based calibration. Environmental conditions changes, the time required for the closed-loop control to respond, cycle-by-cycle variations, and cylinder-to-cylinder variations make the current engine control impossible to handle the the optimisation of the engine functionalities. The development trend for future engines is towards an on-board intelligence for control and calibration and some research activities for the development of model based control systems are reported in literature. However, feasible strategies to control the engine operation cycle-by-cycle and cylinder-by-cylinder are not yet available. Expanding the work of the applicants in the related areas for many years, the overall Goal of this project is to use a combination of joint efforts from 3 research groups with expertise of engine technology, control technology and computing algorithm in order to develop and test a new engine control and calibration methodology with on-line intelligence built in. This overall goal will be achieved through realising the following objectives: (1) To develop a full real-time multi-cylinder engine model for cylinder-resolved-control purpose (2) To develop a novel engine control strategy involving optimization of control points and control point locations, and multi-objective evaluation of test cycle performance (3) To develop dynamic multi-objective evolutionary algorithms for online engine control optimization (4) To demonstrate the implementation of the engine control models initially on Hardware-in-the-Loop (HIL) dSPACE system and then further rapid prototyping on a test engine. (5) To compare the engine performance using the new techniques with traditional calibration and control approaches, and demonstrate improvements in terms of engine output, fuel consumption, and emissions. The new engine control methodology will be evaluated on a new Jaguar gasoline direct injection (GDI) engine model.

The UK automotive industry is a large and critical sector within the UK economy. It accounts for 820,000 jobs, exports finished goods worth £8.9bn annually and adds value of £10bn to the UK economy each year. However, the UK automotive industry is currently facing great challenges, such as responsibility for a 19% and growing share of UK annual CO2 emissions, strong international competition, declining employment and hollowing-out of the domestic supply chain, and enormous pressure from regulatory bodies for decarbonisation. A solution to these challenges comes from the development and manufacture of low carbon vehicles (LCVs), as identified by the UK government. Vehicle lightweighting is the most effective way to improve fuel economy and to reduce CO2 emissions. This has been demonstrated by many vehicle mass reduction programmes worldwide. Historically vehicle mass reduction has been achieved incrementally by reducing the mass of specific vehicle parts piece-by-piece, with little consideration of the carbon footprint of input materials and closed-loop recycling of end of life vehicles (ELVs). Our vision is that the future low carbon vehicle is achieved by a combination of multi-material concepts with mass-optimised design approaches through the deployment of advanced low carbon input materials, efficient low carbon manufacturing processes and closed-loop recycling of ELVs. To achieve this vision, we have gathered the best UK academic brainpower for vehicle lightweighting and formed the TARF-LCV consortium, whose members include 8 research teams involving 18 academics from Brunel, Coventry, Exeter, Imperial, Manchester, Nottingham, Oxford Brookes and Strathclyde. TARF-LCV aims to deliver fundamental solutions to the key challenges faced by future development of LCVs in the strategic areas of advanced materials, enabling manufacturing technologies, holistic vehicle design and closed-loop recycling of ELVs. We have developed a coherent research programme organised in 6 work packages. We will develop closed-loop recyclable aluminium (Al) and magnesium (Mg) alloys, metal matrix composites (MMCs) and recyclable polymer matrix composites (PMCs) for body structure and powertrain applications; we will develop advanced low carbon manufacturing technologies for casting, forming and effective vehicle assembly and disassembly; and we will develop mass-optimised design principles and specific life cycle analysis (LCA) methodology for future LCV development. To deliver the 4-year TARF-LCV programme, in addition to the EPSRC funding requested, we have leveraged financial support for 2 post-doctoral research fellows from the EPSRC Centre-LiME at Brunel University and LATEST2 at Manchester University, and for 9 PhD studentships from partner universities. Consequently, the TARF-LCV research team will include 18 academics, 11 post-doctoral research fellows and 18 research students. This not only ensures a successful delivery of the TARF-LCV research programme, but also provides a training ground for the future leaders of low carbon vehicle development in the UK.