Research Subject Area: Applied Mathematics

REF impact found 142 Case Studies

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Advanced fluid flow modelling improves the efficiency of industrial burners

Summary of the impact

Using advanced mathematics and numerical modelling we have demonstrated how fundamental understanding of laminar-turbulent transitions in fluid flows can save energy. From 2008 we helped the cleantech company, Maxsys Fuel Systems Ltd, to understand and improve their technology and demonstrate to customers how it can reduce fuel use by 5-8%. Customers including Ford Motor, Dow Chemical and Findus testify to the impact from financial savings and reduced carbon emissions obtained by installing Maxsys products on industrial burners used widely in many industrial sectors including automotive, bulk chemicals and food. In 2010, Selas Heat Technology Company bought the Maxsys brand to invest in this success.

Submitting Institution

Aston University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Interdisciplinary Engineering

Advanced simulation technology to optimise the recovery of high value metals through heap leaching

Summary of the impact

This case study describes the creation and use of advanced simulation technology by international mining corporations to optimise high value metal recovery. The technology involved the development of advanced novel computational methods and software tools to model industrial scale heap leach processes for large scale industrial application at major mining operations. This focus on the development of optimised operational strategies has produced considerable economic benefits measured in the $multi-millions to industrial sponsors, including $58 million dollars in additional revenue for one multi-national corporation over one year following the adoption of engineered heaps based upon the advanced simulation tools from Swansea.

Submitting Institution

Swansea University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Computation Theory and Mathematics
Engineering: Resources Engineering and Extractive Metallurgy

Agility Strategies and Supply Network Optimisation

Summary of the impact

Professor David Zhang's research into agility strategies and the analysis and optimisation of complex supply chain networks in the manufacturing sector has led to significant economic impact. Reductions have been made in inventory and cost of goods sold, amounting to an estimated £80M per annum for CIFUNSA, one of the world's largest engine block and head manufacturers. The entire senior management team has been trained in agility strategies and techniques at China's largest non-ferrous metals research and industry complex GRINM, leading to major corporate-level restructuring and growth. The senior management of solder-specialist COMPO has also been trained based on Zhang's research to help the company quadruple turnover in four years and become global market leader. Finally, these same strategy and analysis techniques have generated cost savings and performance improvements worth an estimated £375k for UK engineering solutions company J+S Ltd (http://www.jands.co.uk).

Submitting Institution

University of Exeter

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

A new design methodology for civil aero-engine control

Summary of the impact

A unified design methodology for tuning gas turbine engine controllers, developed by researchers in the Department of Automatic Control and Systems Engineering (ACSE), is being used by Rolls- Royce across its latest fleet of Civil Aero Trent engines. Trent engines are used to power, for example, Boeing 787 Dreamliner and Airbus A350 aircraft that have been adopted by the world's leading airlines.

This new methodology has made economic impact through the introduction of a new process for tuning gas turbine engine controllers leading to the adoption of a significantly changed technology. Indicators of impact are:

i) a new control law and design practice, resulting in a unified approach for different projects;

ii) reduced development effort by shortening and simplifying the design exercise and rendering it suitable for modular insertion; and

iii) streamlined verification requirements.

Submitting Institution

University of Sheffield

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Mechanical Engineering

An Innovative Friction Welding Platform for Creep Damage Assessment and Repair of Thermal Power Plant Components

Summary of the impact

This case study deals with research undertaken at Plymouth University leading to the development of an innovative friction stir welding process (friction hydro-taper pillar processing, FHPP) and a bespoke welding platform that improves the assessment and repair methodology for creep damaged thermal power station components. This technology, developed in collaboration with Nelson Mandela Metropolitan University and with industry investment, enables power station engineers to extend the life of power generating plant leading to multi-million pound cost savings (over £66M in direct financial savings are demonstrated in this case) plus significant safety and societal impacts. It has been patented in South Africa and a spin-off company has been formed.

Please note that economic impact values were achieved in Rand (R) but are expressed in £ and therefore worth less in £ today than during the period when the stated impact was achieved.

Submitting Institution

Plymouth University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Manufacturing Engineering

Antibody sequence and structure analysis assists biologic drug design

Summary of the impact

Research by Dr Andrew Martin at the UCL Research Department of Structural & Molecular Biology has led to a series of antibody-related tools being made available for free use over the Web. One of these, Abysis, has been visited over 360,000 times by over 8,000 users. Abysis has also been released under a commercial license and has been purchased by companies ranging from small biotechs to large pharma for use in their antibody therapeutic development pipelines, allowing them to identify unusual features of their sequences and to improve strategies for humanisation. Martin has also acted as an expert witness for drug companies in patent disputes.

Submitting Institutions

University College London,Birkbeck College

Unit of Assessment

Biological Sciences

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Immunology

Applications of agent technology

Summary of the impact

Agent-based computing is a new paradigm for building complex socio-technical systems composed of many interacting intelligent and autonomous components. New co-ordination and negotiation algorithms developed at the University of Southampton, have provided new methods for managing such interactions in a flexible manner. This study focuses on their applications in two new start-up companies (Aerogility and Aroxo) in the defence, aerospace and civil contingency sectors (e.g. BAE Systems, Ministry of Defence and Hampshire County Council) in helping the GB Sailing Team to success at the 2012 Olympics, and in monitoring the environment for effects of climate change.

Submitting Institution

University of Southampton

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems

ELEC01 - Automatic Diagnosis and Monitoring of Neurodegenerative Diseases

Summary of the impact

Bio-inspired computer algorithms, developed by Dr Stephen Smith at the University of York, have been integrated with commercially available hardware that analyse patients' movements to diagnose and monitor a range of neurodegenerative conditions including Parkinson's disease and Alzheimer's disease. Clinical studies undertaken in the UK and USA report a diagnostic accuracy exceeding 90% - a 15% improvement on current clinical practice. A new spinout company, ClearSky Medical Diagnostics Ltd, has licenced four products exploiting this technology to nine health centres in the UK, USA, Singapore, Australia and UAE, transforming clinical testing with improved diagnosis and monitoring of patients in hospitals and their own homes.

Submitting Institution

University of York

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Electrical and Electronic Engineering
Medical and Health Sciences: Neurosciences

Back on Track: Geotechnical Transport Infrastructure for the 21st Century

Summary of the impact

The transport of people, goods, and utilities (e.g. electricity, oil, gas and water) is essential to civilised life, and in turn depends on a robust, reliable and affordable infrastructure. Since 1995, the University of Southampton Geomechanics Group (SGG) has led the development of an enhanced, science-based framework for understanding the behaviour of geotechnical transport infrastructure through monitoring, modelling and analysis. The techniques we have developed have been used by the builders, owners and operators of transport infrastructure both nationally and internationally to develop improved understandings of infrastructure geotechnical behaviour both during construction and in service. This has led to substantial savings in build, maintenance and operational costs; the implementation of effective remediation and management strategies; and significantly improved infrastructure performance.

Submitting Institution

University of Southampton

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Civil Engineering, Resources Engineering and Extractive Metallurgy

Benefits to the business and medical sectors through application of geometric convexity-based methods to image and data processing

Summary of the impact

Researchers in the Department of Mathematics at Swansea University have developed novel geometric methods for image processing, feature extraction and shape interrogation. The research has delivered commercial and clinical impact in a variety of settings, ranging from new water marking techniques to improve piracy detection in the film industry, to medical research investigating the replacement of traditional CT scans with safer MR scans. The research has also delivered an automatic feature and gap detection tool that has been successfully applied to aircraft data files provided by BAE Systems. A consultancy company is exploiting the methods and a licence for the commercialisation of the technology is in process.

Submitting Institution

Swansea University

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Pure Mathematics, Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing

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