Qinetiq is a British multinational defence technology company headquartered in Farnborough, Hampshire, United Kingdom. It is the world's 52nd-largest defence contractor measured by 2011 defence revenues, and the sixth-largest based in the UK.It is the part of the former UK government agency, Defence Evaluation and Research Agency , privatised in June 2001, with the remainder of DERA renamed Dstl. It has major sites at Farnborough, Hampshire, MoD Boscombe Down, Wiltshire, and Malvern, Worcestershire, former DERA sites. It has made numerous acquisitions, primarily of United States-based companies.It is listed on the London Stock Exchange and is a constituent of the FTSE 250 Index. Wikipedia.
QinetiQ | Date: 2015-05-22
An electric motor comprising: a stator comprising a plurality of circumferentially distributed drive elements for causing an electromagnetic driving force to be applied to a rotor of the electric motor in use, wherein each drive element comprises a wire extending around a metal core to define a plurality of coils for magnetizing the metal core when current flows in the coils, and wherein at least one space exists between the metal core of each respective drive element and the coils around it; and cooling means for transferring heat away from the drive elements; wherein each said drive element further comprises a heat conductor comprising a plurality of mutually electrically isolated metallic elements located in the or each respective space between the metal core thereof and the coils around it, for transferring heat from the coils to the cooling means.
Agency: GTR | Branch: EPSRC | Program: | Phase: Training Grant | Award Amount: 3.94M | Year: 2014
The achievements of modern research and their rapid progress from theory to application are increasingly underpinned by computation. Computational approaches are often hailed as a new third pillar of science - in addition to empirical and theoretical work. While its breadth makes computation almost as ubiquitous as mathematics as a key tool in science and engineering, it is a much younger discipline and stands to benefit enormously from building increased capacity and increased efforts towards integration, standardization, and professionalism. The development of new ideas and techniques in computing is extremely rapid, the progress enabled by these breakthroughs is enormous, and their impact on society is substantial: modern technologies ranging from the Airbus 380, MRI scans and smartphone CPUs could not have been developed without computer simulation; progress on major scientific questions from climate change to astronomy are driven by the results from computational models; major investment decisions are underwritten by computational modelling. Furthermore, simulation modelling is emerging as a key tool within domains experiencing a data revolution such as biomedicine and finance. This progress has been enabled through the rapid increase of computational power, and was based in the past on an increased rate at which computing instructions in the processor can be carried out. However, this clock rate cannot be increased much further and in recent computational architectures (such as GPU, Intel Phi) additional computational power is now provided through having (of the order of) hundreds of computational cores in the same unit. This opens up potential for new order of magnitude performance improvements but requires additional specialist training in parallel programming and computational methods to be able to tap into and exploit this opportunity. Computational advances are enabled by new hardware, and innovations in algorithms, numerical methods and simulation techniques, and application of best practice in scientific computational modelling. The most effective progress and highest impact can be obtained by combining, linking and simultaneously exploiting step changes in hardware, software, methods and skills. However, good computational science training is scarce, especially at post-graduate level. The Centre for Doctoral Training in Next Generation Computational Modelling will develop 55+ graduate students to address this skills gap. Trained as future leaders in Computational Modelling, they will form the core of a community of computational modellers crossing disciplinary boundaries, constantly working to transfer the latest computational advances to related fields. By tackling cutting-edge research from fields such as Computational Engineering, Advanced Materials, Autonomous Systems and Health, whilst communicating their advances and working together with a world-leading group of academic and industrial computational modellers, the students will be perfectly equipped to drive advanced computing over the coming decades.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 337.48K | Year: 2015
The project partners will integrate printed electronics (PE) and conventional (CE) solid state electronics in order to improve functionality, reduce cost and increase scalability of a photonics based medical device. New methods will be employed in order to produce luminaires, printed sensors and PE/PE or PE/CE interconnects. These will be combined with conventional electronics such as memory and processors to make the device smart and therefore ensure patient compliance with the treatment regime.
Agency: Cordis | Branch: H2020 | Program: ECSEL-RIA | Phase: ECSEL-01-2014 | Award Amount: 52.90M | Year: 2015
The 3Ccar project will provide highly integrated ECS Components for Complexity Control in thereby affordable electrified cars. The new semiconductors for Complexity management (Control, reduction) will offer the next level of energy efficiency in transportation systems. 3Ccars impact is maximizing pragmatic strategy: Use semiconductor technology innovations to manage functionality & complexity increase. This leads also to cheaper, efficient, robust, comfortable, reliable and usable automotive systems. This strengthens Europe as a whole (OEM, Tier1, Semiconductor) generating economic growth and new jobs in Europe. The impact of 3Ccar is driven vertically by innovations and horizontally enabling growth and deployment in the industry based on what we see as European Values. We recognized that European engineers develop for highest efficiency, convergence and manageable complexity. Our society appreciates long life products to avoid waste. 50 partners and 55 Mio budget give the mass for innovative products such as functional integrated powertrains, smart battery cells with unique selling features allowing Europe to advance to global leadership. An important feature of the project has been the recognition and exploitation of synergies with other EV projects, enabling fast innovation cycles between such aligned projects. With 55 Mio budget and 10 b impact the R&D expenditure ratio is 200 which is 10x higher than the semiconductor average and corresponds to very strong innovation potential which will be translated into automotive and semiconductor industry. The technologies developed in 3Ccar will be commercialized all over the world while giving advantages to Europes OEMs willing to manufacture in Europe. 3Ccar will be involved in standardization needed to ensure that large vertical supply chains can be established. The 3Ccar project shows that collaboration between industry, research institutes, governments and customers is pivotal for excellence in Europe.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: COMPET-3-2016-a | Award Amount: 10.60M | Year: 2017
The consortium proposes an innovative activity to develop, build and test to TRL5 the first European Plug and Play Gridded Ion Engine Standardised Electric Propulsion Platform (GIESEPP) to operate Airbus Safran Launchers and QinetiQ Space ion engines. These are the only European ion engines in the 200-700W (LEO) and 5kW (GEO) domains that are space-proven, and the consortiums intention will be to improve European competitiveness and to maintain and secure the European non-dependence in this field. The project will design and develop a standardised electric propulsion platform for 200-700W and 5kW applications, which has the capability to run either Airbus Safran Launchers or QinetiQ thrusters. In addition, the 5kW electric propulsion system will be designed to allow clustering for 20kW EPS for space transportation, exploration and interplanetary missions. In order to cope with challenging mission scenarios, Dual Mode functionality of the thrusters will be realised. This ensures that the beneficial high Isp characteristics of Gridded Ion Engines are maintained, whilst also offering a competitive higher thrust mode. The GIESEPP systems will not be limited to xenon as an operating medium; assessments will be performed to ensure functionality with alternative propellants. The approach to system standardisation and the resulting solutions will provide highly cost competitive and innovative EPS for current and future satellite markets, whilst meeting the cost efficiency requirements. The proposal will describe the roadmap to higher TRL by 2023-2024, providing a cost competitive EPS. Finally, the proposal will address efficient exploitation of the results, demonstrating how the activity will positively increase the impact and prospects for European Ion Engines and the European Electric Propulsion System community.
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 306.10K | Year: 2016
Wireless communications have enabled a plethora of novel applications in recent years thanks to the continuous research efforts to increase the spectral efficiency (SE) and energy efficiency (EE) of wireless networks. Multi-antenna (MIMO) processing plays a central part towards harnessing those gains. MIMO has grown much beyond the original point-to-point channel and can nowadays refer to a diverse range of centralized and distributed deployments (e.g. multi-cell MIMO, cooperative/coordinated MIMO, distributed MIMO, massive MIMO, network MIMO). The fundamental bottleneck towards enormous spectral and energy efficiency benefits in multiuser MIMO networks lies in a huge demand for accurate channel state information at the transmitter (CSIT). This has become increasingly difficult to satisfy due to the increasing number of antennas and access points in next generation wireless networks relying on very dense heterogeneous networks and transmitters equipped with a very large number of antennas. CSIT inaccuracy results in a multi-user interference that significantly degrades the network performance. Looking backward, the problem has been to strive to apply techniques designed for perfect CSIT to scenarios with imperfect CSIT. The motivation behind this project is the following: wouldnt it be wiser to design wireless networks from scratch accounting for imperfect CSIT? In this project, we leverage recent progress in information theory and initial results by the PIs to address the above fundamental CSIT problem (and its resulting multi-user interference) by introducing a rate-splitting (RS) network architecture. Contrary to current approaches where transmission is operated in a broadcast manner with one private message per user, the approach considered consists in splitting one receivers message into a common and a private part and superposing this common message on top of all users private messages. The common message is decoded by all users but intended to only one of the users. Such approach has recently been found to be optimal from an information theoretic perspective in a multiuser deployment with imperfect CSIT and significant enhancements over conventional approaches in terms of spectral efficiency and power utilization have been demonstrated by the PIs. This visionary project conducted at Imperial College London and University of Edinburgh by leading experts in wireless communication theory aims at leveraging those recent findings to design and demonstrate the suitability of an RS-based MIMO wireless network architecture in a multitude of scenarios. To put together this novel wireless network solution in a credible fashion, this project focuses on designing 1) RS for a single transmission point, 2) RS for a large number of co-localized antennas (also called Massive MIMO) in microwave and millimeter-wave bands, 3) RS for a large number of distributed antennas representative of dense heterogeneous networks, 4) RS for multi-antenna relay channel and finally 5) evaluating the system level performance of RS-based networks. The project will be performed in partnership with leaders in equipment manufacturing and standardization (Toshiba and InterDigital) and in defence and emergency services (Qinetiq). The project demands a strong track record in wireless communication, MIMO signal processing, optimization, information theory and it is to be conducted in a unique research group with a right mix of theoretical and practical skills. With the above and given the novelty and originality of the topic, the research outcomes will be of considerable value to transform the future of wireless and give the industry a fresh and timely insight into the development of robust MIMO wireless networks, advancing UKs research profile of both wireless communication in the world. Its success would radically change the design of the physical layer of wireless communication systems and have a tremendous impact on standardization.
QinetiQ | Date: 2016-04-12
This invention relates to a novel curing method of oligomers, using metal triflates, and particularly to the curing of hydroxyl terminated elastomers to achieve crosslinked polymers. The method finds particular use as an alternative cure methodology to replace isocyanate curing. There is further provided a cured and crosslinked polymer binder, which is particularly suitable and compatible for use with energetic materials.
QinetiQ | Date: 2016-01-15
A carrier for at least one shaped charge, the carrier being disposable in use within an oil, gas, water or steam well bore. The carrier comprises a housing at least partially formed from a composite material which is non-frangible in normal use. The composite material component of the housing is arranged substantially to contain debris created within the carrier as a result of firing of the at least one shaped charge. The housing may be entirely of composite material or may comprise in inner metallic housing and an outer overwrap of composite material.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 1.19M | Year: 2016
During wind tunnel testing of aircraft, the aerodynamic effects of jet engines are represented using one of two techniques. The vast majority of models use ‘Through Flow Nacelles’ (TFN), effectively open tubes, which do not represent any powered engine airflow. A small amount of more representative testing is achieved using Turbine Powered Simulators (TPS) to represent engine airflow, but this is expensive, cumbersome, and requires significant energy and fixed infrastructure to operate. A new generation of permanent magnet electric motors has recently been developed for the Formula 1 industry (primarily for kinetic energy recovery and power systems), which appear to have the power density necessary for the effective simulation of scaled jet engines. This project aims to further develop these motors, the associated test control infrastructure, and techniques, for successful aerospace wind tunnel testing. The aim is to deliver the representative effect of TPS techniques, whilst eliminating the associated fixed infrastructure, by using electric motors instead of a turbine. The outcome sought is the more frequent generation of high fidelity data at lower overall lifecycle cost.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 1.84M | Year: 2014
Project CAN is a collaboration between the UK aerosapce industries, UK X-ray technology companies and academia to develop new testing techniques to ensure modern aircraft are designed using the latest materials and techniques to reduce their environmental impact whilst ensuring their safe operation. Two technologies will be developed for the testing of aircraft structures, components and engines; X-ray back scatter and Laminar CT. The new techniques have their origins in both medical equipment and cross border security equipment. The project partners see the techniques as crucial to the UK retaining its strong position as a worldwide leader in the aerospace market.