Agency: Cordis | Branch: H2020 | Program: IA | Phase: FoF-12-2015 | Award Amount: 5.92M | Year: 2015
ComMUnion enables productive and cost effective manufacturing of 3D metal/ Carbon Fibre Reinforced Thermoplastic (CFRT) multi-material components. ComMUnion will develop a novel solution combining tape placement of CFRTs with controlled laser-assisted heating in a multi-stage robot solution. High-speed laser texturing and cleaning will overcome the limitations of current joining technology to provide greatest performance joints. ComMUnion will rely on a robot-based approach enabling on-line inspection for layer-to-layer self-adjustment of the process. Moreover, tools for multi-scale modelling, parametric offline programming, quality diagnosis and decision support will be developed under a cognitive approach to ensure interoperability and usability. ComMUnion will address the following key innovations: - Texturing and cleaning based on high speed laser scanning for surface condition. - High-speed spatially resolved control of surface temperature profile. - Multi-scale metal/CFRP modelling, self-adaptive process control, and quality diagnosis based on multimodal active imaging. ComMUnion approach will decrease by 30% the consumption of titanium and boron steel, (costly alloys requiring critical materials). Besides, reinforcement of textured metallic surfaces with CFRT tapes will increase mechanical performance of multi-material components over 30% without cost increase. Manufacturing of two pilot-cases for automotive and aeronautics will demonstrate the scalability of the joining process. It will be possible trough a consortium with a strong involvement of industrial partners (73% of which 55% are SMEs). The outline of the business plan ensures the exploitation of the project results. With a target market of 2.000 companies and a fair estimate of 2% market penetration (5 years after the commercialization start), ComMUnion will result in 40M/year incomes.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: FoF-08-2015 | Award Amount: 3.41M | Year: 2015
SIMUTOOL will develop a simulation platform for the manufacturing of composites through microwave MW heating. The simulation will include the electromagnetic field coupled with heat transfer mechanisms that take place during the production process. It will also include the process control loop which will enable the optimum design of the manufacturing process One of the major outputs of the simulation platform will be the successful design of a ceramic matrix composite tool with a MW absorbing layer in order to maximise the energy saving potential of the MW heating process. The project addresses the manufacturing issues of MW heating of composites which stem from the lack of understanding of the basic physics of the process (the most important item being how carbon fibers interact with the microwave field). The project will increase the Technology Readiness Level (TRL) of the MW heating of composites process to 6-7 -
Agency: Cordis | Branch: FP7 | Program: CP-TP | Phase: FoF.NMP.2012-4 | Award Amount: 18.22M | Year: 2013
The overarching goal of AMAZE is to rapidly produce large defect-free additively-manufactured (AM) metallic components up to 2 metres in size, ideally with close to zero waste, for use in the following high-tech sectors namely: aeronautics, space, automotive, nuclear fusion and tooling. Four pilot-scale industrial AM factories will be established and enhanced, thereby giving EU manufacturers and end-users a world-dominant position with respect to AM production of high-value metallic parts, by 2016. A further aim is to achieve 50% cost reduction for finished parts, compared to traditional processing. The project will design, demonstrate and deliver a modular streamlined work-flow at factory level, offering maximum processing flexibility during AM, a major reduction in non-added-value delays, as well as a 50% reduction in shop-floor space compared with conventional factories. AMAZE will dramatically increase the commercial use of adaptronics, in-situ sensing, process feedback, novel post-processing and clean-rooms in AM, so that (i) overall quality levels are improved, (ii) dimensional accuracy is increased by 25% (iii) build rates are increased by a factor of 10, and (iv) industrial scrap rates are slashed to <5%. Scientifically, the critical links between alloy composition, powder/wire production, additive processing, microstructural evolution, defect formation and the final properties of metallic AM parts will be examined and understood. This knowledge will be used to validate multi-level process models that can predict AM processes, part quality and performance. In order to turn additive manufacturing into a mainstream industrial process, a sharp focus will also be drawn on pre-normative work, standardisation and certification, in collaboration with ISO, ASTM and ECSS. The team comprises 31 partners: 21 from industry, 8 from academia and 2 from intergovernmental agencies. This represent the largest and most ambitious team ever assembled on this topic.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: FoF.NMP.2013-10 | Award Amount: 2.88M | Year: 2013
This project aims at the development of an automatic quality control and feedback mechanism to improve draping of carbon fibres on complex parts. There is a strong need in the automotive industry for automatic systems that perform quality control and improve draping processes in order to allow high production volumes. The technology that is being developed in the project will include a new sensor system for robust detection of fibre orientation combined with a robotic system to scan complex parts. This is based on a new technology that uses reflection models of carbon fibre to solve the problems encountered with earlier vision-based approaches. The data coming from the inspection system will be fed into draping simulation to improve the accuracy of the processes. Draping is the process of placing woven carbon material on typically complex 3D parts (preforms) with the goal of having the fibres oriented along specific directions predicted by finite element calculations. This is done to maximize the strength-to-weight ratio of the part. There is a strong trend in the automotive industry towards lightweight parts to increase fuel efficiency, also considering the needs of electrical vehicles. Setting up the draping process for a complex part takes up to 50 preforms for trial-and-error improvements. Current production processes are thus not yet adequate to cover the expected volumes of several 100.000 parts per year. The project aims at shortening process development times by 90% and allowing automatic 100% quality control of fibre orientation. The industry-led consortium consists of European key partners in draping simulation, manufacturing of carbon parts for the automotive industry, sensor developers and robotic experts. It is complemented by a group of interested end users, e.g. European car manufacturers that are associated to the project.
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 3.77M | Year: 2013
The aim of this proposal is to transform the design and manufacture of structural systems by relieving the bottleneck caused by the current practice of restricting designs to a linear dynamic regime. Our ambition is to not only address the challenge of dealing with nonlinearity, but to unlock the huge potential which can be gained from exploiting its positive attributes. The outputs will be a suite of novel modelling and control techniques which can be used directly in the design processes for structural systems, which we will demonstrate on a series of industry based experimental demonstrators. These design tools will enable a transformation in the performance of engineering structural systems which are under rapidly increasing demands from technological, economic and environmental pressures. The performance of engineering structures and systems is governed by how well they behave in their operating environment. For a significant number of engineering sectors, such as wind power generation, automotive, medical robotics, aerospace and large civil infrastructure, dynamic effects dominate the operational regime. As a result, understanding structural dynamics is crucial for ensuring that we have safe, reliable and efficient structures. In fact, the related mathematical problems extend to other modelling problems encountered in other important research areas such as systems biology, physiological modelling and information technology. So what exactly is the problem we are seeking to address in this proposal? Typically, when the behaviour of an engineering system is linear, computer simulations can be used to make very accurate predictions of its dynamic behaviour. The concept of end-to-end simulation and virtual prototyping, verification and testing has become a key paradigm across many sectors. The problem with this simulation based approach is that it is built on implicit assumptions of repeatability and linearity. For example, many structural analysis methods are based on the concept of a frequency domain charaterisation, which assumes that response of the system can be characterised by linear superposition of the response to each frequency seperately. But, the response of nonlinear systems is known to display amplitude dependence, sensitivity to transient effects in the forcing, and potential bistability or multiplicity of outcome for the same input frequency. As a result, when the system is nonlinear (which is nearly always the case for a large number of important industrial problems) it is almost impossible to make dynamic predictions without introducing very limiting approximations and simplifications. For example, throughout recent history, there have been many examples of unwanted vibrations; Failure of the Tacoma Narrows bridge (1940); cable-deck coupled vibrations on the DongTing Lake Bridge (1999); human induced vibration on the Millennium Bridge (2000); NASA Helios failure (2003); Coupling between thrusters and natural frequencies of the flexible structure on the International Space Station (2009); Landing gear shimmy. In many cases, the complexity of modern designs has outstripped our ability to understand their dynamic behaviour in detail. Even with the benefit of high power computing, which has enabled engineers to carry out detailed simulations, interpreting results from these simulations is a fundamental bottleneck, and it would seem that our ability to match experimental results is not improving, due primarily to the combination of random and uncertain effects and the failure of the linear superposition approach. As a result a new type of structural dynamics, which fully embraces nonlinearity, is urgently needed to enable the most efficient design and manufacture of the next generation of engineering structures.