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This research project, carried out at the University of Derby, was used to develop an engine performance monitoring system and a data optimisation method for engine management systems for Land Rover. The project delivered two pieces of software developed for data modelling and optimisation with respect to the engine test bed. This has significantly reduced the engine test time on the test bed by up to 30%, reduced the cost of each engine test and provided optimum engine operation parameters to the Engine Control Unit (ECU), which has resulted in lower emissions and improved fuel economy. The project was started in 2000 and completed in 2008. However the outcomes of the research and developed software tools are still used by the Land Rover engine test group.
Implementing measures that can maintain, as well as improve air quality is a constant challenge faced by local authorities, especially in metropolitan cities. The AVERT, EPSRC/DTI link project, led by Samuel and Morrey of Oxford Brookes University, were tasked at identifying and proposing a new strategy to limit the amount of pollutants from vehicles dynamically using remote sensing and telematics. Firstly, it established the magnitude of real-world emission levels from modern passenger vehicles using a newly developed drive-cycle. Secondly, it demonstrated a broad framework and limitations for using existing on-board computer diagnostic systems (OBD) and remote sensing schemes for the identification of gross polluting vehicles. Finally, it provided a strategy for controlling the vehicle to meet air pollution requirements. The outcomes had direct impact on Government policy on "Cars of the Future", roadside emission monitoring, and the business strategies for both the Go-Ahead Group and Oxonica Ltd.
The research has enabled industrial simulation users to investigate and develop larger scale systems faster and cheaper and thus to explore a wider variety of cost-saving options with more precision, and industrial simulation providers to offer new high-performance simulation (HPS) products and services. As a direct result of this work: Ford has made £150,000 cost savings in consultancy and significant process improvements to engine manufacture globally; Saker Solutions (UK SME) has created the first ever HPS system for production and logistics; Sellafield PLC has used this system to make significant process improvements and savings in the management of nuclear waste reprocessing of around £200,000 per year; and Whole Systems Partnership (a UK SME) used a spin-off from this research to generate a £200,000 per year revenue stream from interoperable healthcare decision support systems. Globally, several other companies are adopting the standardisation efforts and other outcomes of the research as the foundation for future innovation.
The safe operation of ships is a high priority task in order to protect the ship, the personnel, the cargo and the wider environment. Research undertaken by Professor Alexander Korobkin in the School of Mathematics at UEA has led to a methodology for the rational and reliable assessment of the structural integrity and thus safety of ships and their cargos in severe sea conditions. Central to this impact is a set of mathematical models, the conditions of their use, and the links between them, which were designed to improve the quality of shipping and enhance the safety of ships. The models, together with the methodology of their use, are utilised by the ship certification industry bringing benefits through recognised quality assurance systems and certification.
Economic impact
Environmental impact
Through a close collaboration with Ford Motor Company, simulation modelling software developed at the University of Southampton has streamlined the design of the car giant's engine production lines, increasing efficiency and delivering significant economic benefits in three key areas. Greater productivity across Ford Europe's assembly operations has generated a significant amount [exact figure removed] in direct cost savings since 2010. Automatic analysis of machine data has resulted in both a 20-fold reduction in development time, saving a large sum per year [exact figure removed], and fewer opportunities for human error that could disrupt the performance of production lines costing a large sum [exact amount removed] each to program.
Loughborough University's (LU) interdisciplinary model based systems engineering (MBSE) research (2001-2010) has directly enabled life-saving operations by i) Developing synthetic vision systems to improve the safety of emergency services helicopter operations involving low level flight during day, night, all weather and conditions of zero visibility, and ii) Saving lives through a reduction in morbidity and mortality of babies born with congenital heart defects.
The impact translates directly into significant cost savings and safety risk reductions in expensive flight trials costing millions of pounds by BAE Systems [5.1], and in supporting clinical practice/surgical interventions by University Hospital of Rennes [5.2] with a reduction in the morbidity and mortality of babies born with congenital heart defects in Brittany, France.
The vulnerability of both military and civilian infrastructure to the threat of terrorist activity has highlighted the need to improve its survivability, and this poses a significant design challenge to engineers. Research work at Imperial has led to the development of novel constitutive relationships for polymeric materials coupled to novel analysis procedures; software algorithms for effective simulations of blast and impact events; and enhanced experimental testing methods allowing a fundamental understanding of the structures. According to Dstl, this body of research has `unquestionably improved the security and effectiveness of the UK armed forces operating in hostile environments abroad as well as the safety of citizens using metropolitan infrastructure within the UK'. The techniques have been applied to vehicles and UK infrastructure, including for high profile events, such as the 2012 Olympics.
This case study describes the international impact of research in the computer modelling and simulation of automotive and aerospace crashes, undertaken by Professor Blundell. The main impacts arising from the research can be summarised as:
Economic impact and impact on passenger safety: i) our research has led to improvements in the MADYMO software suite, the `industry standard' software for safety design and virtual crash testing, which is produced by TNO Automotive Safety Solutions (TASS) and sold to all the main equipment manufacturers in the automotive and aerospace sectors ii) our research has reduced the costs of these equipment manufacturers, who can simulate a crash rather than undertake expensive, physical, crash tests iii) by improving MADYMO, our research has had an impact on passengers who are now travelling in cars and aircraft which safer as a result of MADYNO's enhanced capabilities.
Impact on practitioners and professional services: through working with Blundell and his group, Autoflug GmbH has learned how to incorporate advanced simulation into its product development process. The work has also transferred practices from the automotive sector into aviation. Blundell's research has helped to introduce manufacturers and European regulators to new methods to design safety systems to helicopters, an area previously underdeveloped as an area in aviation occupant crash protection.
Beneficiaries include Autoflug GmbH, TASS and its customers, and European aviation regulators.
Research into variable mechanical energy absorption, using Finite Element (FE) modelling and analysis, funded by Cellbond Ltd., led to a design specification for an Offset Deformable Barrier (ODB). Such barriers are used within the motor manufacturing industry to test vehicular safety. Based on the findings of our research, the barrier used in car crash tests has been redesigned. The design specification for the barrier has been adopted by the European New Car Assessment Programme (EuroNCAP). All newly designed cars are tested with this type of barrier before they enter production. The use of FE modelling and virtual crash testing allows barriers to be designed with particular properties and for the crash testing cycle to be shortened.