Agency: Cordis | Branch: H2020 | Program: IA | Phase: FoF-09-2015 | Award Amount: 11.42M | Year: 2015
Fortissimo 2 will drive the uptake of advanced modelling, simulation and data analytics by European engineering and manufacturing SMEs and mid-caps. Such an uptake will deliver improved design processes, better products and services, and improved competitiveness. For the European Union as a whole this means improved employment opportunities and economic growth. The importance of advanced ICT to the competitiveness of both large and small companies in the engineering and manufacturing domain is well established. Despite early successes in this area, there are still many barriers to the uptake of such solutions, not least of which are the initial cost and complexity of adoption, particularly in the context of challenging trading conditions. This proposal targets the ICT Innovation for Manufacturing SMEs (I4MS) action line (Phase 2) and builds on Phase 1 of that initiative. Phase 2 addresses the adoption of next generation ICT advances in the manufacturing domain. At the core of Fortissimo 2 are three tranches of Application Experiments (~35 in total). An initial set is included in this proposal and two further sets will be obtained through Open Calls for proposals. These experiments will be driven by the requirements of first-time users (predominately SMEs) and will bring together actors from across the value chain, from cycle providers to domain experts via the Fortissimo Marketplace. This will enable innovative solutions to manufacturing challenges, leading to new and improved design processes, products and services. A key feature of Fortissimo 2 will be the adaption of the Marketplace to meet the needs of end-users. It will offer a responsive and reliable service to companies which want to access HPC and Big resources and expertise. Fortissimo 2 initially involves 732 months of effort, a total cost of 11.1m and EC funding of 10m over a duration of three years, commensurate with achieving its ambitious goals.
Agency: Cordis | Branch: FP7 | Program: BSG-SME | Phase: SME-2012-1 | Award Amount: 1.47M | Year: 2012
The ALAS project aims to shorten the gap between research and economy with latest research activities in the fields of optics and laser processing, by providing an innovative, adaptive laser cladding system with variable spot size to end users. Thus, Europes SMEs will be empowered to strengthen their global market position as the productivity will increase due to shortened setup times, flexibility gain and controlled quality. The main features of the ALAS system are: - Simple interfacing with the operator Adapted to complex geometries, thanks to track width variation Real-Time laser power control to avoid heat accumulation in the part to be processed Compact design that minimize the safety laser requirements of the traditional laser cells Provision to interface with the rest of elements of the laser cell The working plan has been designed to attain the goal of the present project. To develop an adaptive tool for laser cladding, this project has been divided in 8 WP including the RTD task as well a dissemination and management WPs. The work will comprise: - The design of an adaptive optical path : to be able to vary the track width - The development of a laser cladding monitoring and control system: it will be based on a vision system that will check the real melt pool dimension and act on laser power - The development of the control interface of the ALAS system: which will be user friendly and easy to use. The coordinator will have the responsibility to carry on in good way this project. Regarding the impact of ALAS, it will yield: Higher processing flexibility and productivity An increase of the market share for the end users Improved repairing sector competitiveness. Improved the working conditions of operators. New opportunities for high-technology products, for which European industry has competitive advantages, like optical design, system solutions for laser cladding or other laser processes
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: FoF-01-2014 | Award Amount: 3.67M | Year: 2014
MAShES proposes a breakthrough approach to image-based laser processing closed-loop control. Firstly, a compact, snapshot, and multispectral imaging system in the VIS/MWIR spectral range will be developed. This approach will enable a multimodal process observation that combines different imaging modalities. Moreover, it will enable an accurate estimation of temperature spatially resolved and independent on emissivity values, even for non-grey bodies and dissimilar materials. Secondly, a fully embedded approach to real time (RT) control will be adopted for efficient processing of acquired data and high speed -multiple inputs/ multiple outputs- closed-loop control. Thirdly, a cognitive control system based on the use of machine learning techniques applied to process quality diagnosis and self-adjustment of the RT control will be developed. As a result, a unified and compact embedded solution for RT-control and high speed monitoring will be developed that brings into play: - The accurate measurement of temperature distribution, - The 3D seam profile and 2D melt pool geometry, - The surface texture dynamics, and process speed. MAShES control will act simultaneously on multiple process variables, including laser power and modulation, process speed, powder and gas flow, and spot size. MAShES will deal with usability and interoperability issues for compliance with cyber-physical operation of the system in a networked and cognitive factory. Moreover, standardisation issues will be addressed regarding the processes and the control system and contributions in this regard are envisaged. MAShES will be designed under a modular approach, easily customizable for different laser processing applications in highly dynamic manufacturing scenarios. Validation and demonstration of prototypes of MAShES system will be done for laser welding and laser metal deposition (LMD) in operational scenarios at representative end-user facilities.
Agency: Cordis | Branch: FP7 | Program: BSG-SME | Phase: SME-2013-1 | Award Amount: 1.51M | Year: 2014
Biomaterials industry and especially the orthopaedics sector represent a large market globally with growth rates of 7-15%. Unfortunately current biomaterials are not optimal and cause pain and distress to a large number of patients. Particularly their life cycle is very small compared to the average starting age of musculoskeletal disorders. The raw materials used can cause neurological problems as Alzheimer disease due to metal ions released in the body and the stress shielding effect can lead to bone atrophy. Also the structural and mechanical properties of biomaterials used in implants are not optimal, chemical inhomogeneity and large distribution of porous dimensions are common factors in production process. There is a clear need for innovation in biomaterials production in terms of biocompatibility, mechanical, and surface properties. NewBioGen introduces a new biomaterial production process that will solve the current problems and provide a new generation of orthopaedic bio-implants. Beta titanium alloys, containing fully biocompatible elements, will be optimised and validated as raw materials for the biomaterial production. The new production process will be using powder metallurgy technology. Use of powder metallurgy for bio-implants production will allow increased control of the final characteristics and properties of the product. It is expected to significantly reduce the chemical and porous inhomogeneties - a source of stress and cause of mechanical implant failure. The next step in our novel approach is the application of ZrO2/Zr coating on the implant using Laser Engineered Net Shape techniques to give better wear resistance and lower the possibility of interfacial separation under repeated loading condition. NewBioGen is taking a new route to establish methods that yield high precision and quality biomaterials and will validate their increased biocompatibility, wear resistance, corrosion resistance, enhanced mechanical and tribological properties.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: FoF-04-2014 | Award Amount: 8.44M | Year: 2014
It is the high ambition of the project to create FACTorieS for WORKERS (FACTS4WORKERS), therefore a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven technology building blocks. As FACTS4WORKERS is underpinned by a clear human-centric approach: usability, user experience and technology acceptance are of the utmost project interest. FACTS4WORKERS will develop and demonstrate workplace solutions that support the inclusion of increasing elements of knowledge work on the factory floor. These solutions will empower workers on the shop floor with smart factory ICT infrastructure. Advancement will be gained through integrating several building blocks from a flexible smart factory infrastructure, focusing on workers needs, expectations and requirements, and being supported by organisational measures and change management. In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025. These solutions will be developed according to the following four industrial challenges which are generalise-able to manufacturing in general: personalised augmented operator (IC1), worked-centric rich-media knowledge sharing/management (IC2), self-learning manufacturing workplaces (IC3) and in-situ mobile learning in the production (IC4). Moreover, FACT4WORKERs objectives in terms of measureable indicators are: To increase problem-solving and innovation skills of workers; To increase cognitive job satisfaction of workers; To increase average worker productivity by 10%; To achieve TRL 5-7 on a number of worker-centric solutions through which workers become the smart element in smart factories The smart factory demonstrator will be run within the automotive supply chain. The consortium is composed by 15 partners from 7 different EU member states.