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The Computational Mechanics and Reliability Group at the University of Greenwich has been developing design and materials modelling expertise and tools for electronic manufacturing and reliability since the late 1990s. This case study details economic and environmental impacts and impacts on practitioners. In particular it shows how our expertise has:
The Centre for Numerical Modelling and Process Analysis (CNMPA) was asked in 2004 to apply its expertise in computational reliability engineering, usually used in high technology manufacturing, to help save the Cutty Sark ship and in 2010 to help restore the Medway Queen. This case study details how our computational expertise had impact and in particular:
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.
New business models, technological innovations and global markets, demand that engineering firms better manage how they grow and achieve reliability during product development. A reliability growth modelling framework, developed from research at the University of Strathclyde, is being used by and influencing UK industry practice in the aerospace & defence sector. Our model underpins the modern approach to reliability growth management in Aero-Engine Controls (a Rolls-Royce company), Selex ES, and contributes to the Reliability Case required by the Ministry of Defence. The Strathclyde model is included in the international reliability growth standard (IEC 61164) which is adopted globally by manufacturing firms and procurement agencies.
The development of unique computer simulation tools has profoundly influenced the design and manufacture of silicon chips fuelling the $300 billion per year semiconductor industry. A pioneer of statistical variability research, Professor Asen Asenov developed understanding and awareness of statistical variability in the nanoscale transistors which make up all silicon chips. Gold Standard Simulations (GSS) was created in 2010 and by 2012-13 had grown revenue from services and licensing to $1million. GSS tools are currently used in foundries providing 75% of all semiconductor production for fabless design companies globally. For example, working with GSS and their simulation tools has reduced the development time for IBM's next generation of CMOS technology by 1 year, representing significant savings in the 3-5 year technology development cycle.
From 1995 Professor Munjiza's research at QMUL has led to the development of a series of algorithms which can predict the movement and relationship between objects. These algorithms have been commercialised by a range of international engineering and software companies including Orica, the world's leading blasting systems provider (via their MBM software package), and the software modelling company, Dassault Systems (via their Abaqus software). Through these commercialisation routes Munjiza's work has generated significant economic impact which is global in nature. For example, his predictive algorithms have enabled safer, more productive blast mining for Orica's clients — in one mine alone, software based on Munjiza's modelling approach has meant a 10% increase in productivity, a 7% reduction in costs and an annual saving of $2.8 million. It has also been used in Dassault Systems' Abaqus modelling software, which is the world's leading generic simulation software used to solve a wide variety of industrial problems across the defence, automobile, construction, aerospace and chemicals sectors with associated economic impact.
Since 2008, statistical research at the University of Bristol has significantly influenced policies, practices and tools aimed at evaluating and promoting the quality of institutional and student learning in the education sector in the UK and internationally. These developments have also spread beyond the education sector and influence the inferential methods employed across government and other sectors. The underpinning research develops methodologies and a much-used suite of associated software packages that allows effective inference from complicated data structures, which are not well-modelled using traditional statistical techniques that assume homogeneity across observational units. The ability to analyse complicated data (such as pupil performance measures when measured alongside school, classroom, context and community factors) has resulted in a significant transformation of government and institutional policies and their practices in the UK, and recommendations in Organisation for Economic Co-operation and Development (OECD) policy documents. These techniques for transforming complex data into useful evidence are well-used across the UK civil service, with consequent policy shifts in areas such as higher education admissions and the REF2014 equality and diversity criteria.
The research produced accurate simulation models of piezoelectric actuators for investigating sensitivities to parameter variations that led to maximum power for minimum electric field. This was the basis of design rules for determining new products at the industrial partner NXT, now named Hi-Wave Technology, headquartered in Cambourne, UK. Old design rules had led to two failed products whereas these new design rules have guided successful products with a major Japanese television manufacturer, a Japanese printer company and a Russian mobile phone company. Without this research Hi-Wave would have stopped activities in this technology. To date, licences for more than 24 million units per annum have been sold and more than 280,000 units manufactured.
The impact relates to improved productivity, operational efficiency, working practice and knowledge management within the European maritime industry through the use of a Virtual Integration Platform (VIP). The platform is a software package developed within the University of Strathclyde that has been used by eleven European ship design, engineering and project management consultancies, which specialise in the application of advanced computational design, analysis and physical modelling techniques within projects on an international scale. Specific company benefits of using the VIP include: 67% reduction in process time; guaranteed data consistency; additional productivity of 15 hours/day from automated over-night operation; capturing and reuse of expertise; cost effectiveness (lack of data consistency typically costs €100k per project); and ease of operation within complex design processes.
Newcastle University's fundamental research into the automated synthesis of asynchronous systems and metastability analysis has resulted in new technologies that have been adopted worldwide by the microprocessor industry and educational sectors. In particular, Newcastle's asynchronous design methods and tools based on Petri nets have been used by the industry leading vendor Intel Corporation for their switch silicon technology, on which most transactions on the NYSE and NASDAQ (with combined daily volume of trade exceeding £80 billion) now rely. Oracle Corporation used the results of Newcastle's metastability analysis research for building their SPARC series of servers, marketed as having "world's fastest microprocessor".