Center Technique des Industries Mecaniques
Center Technique des Industries Mecaniques
Center Technique Des Industries Mecaniques | Date: 2017-07-26
The invention concerns a method for shaping a preform made from thermoplastic material, and a facility for implementing said method. The method comprises the following steps: a) providing a preform (15) made from thermoplastic material having a surface (30); b) supplying thermal energy to said preform by radiation (15) in such a way as to make it ductile; and, c) shaping said ductile preform (15) inside a forming mould (26). Moreover, step b) involves simultaneously spraying a gaseous fluid onto the surface (30) of said preform (15) in order to preserve said surface.
Center Technique Des Industries Mecaniques | Date: 2017-05-24
The invention relates to a method for manufacturing a force sensor and a facility for implementing same. The method includes the following steps: a) providing a deformation measurement apparatus (22) and a proof body (10); b) providing a reactive viscous adhesive; and c) applying said reactive viscous adhesive (14) to said proof body (10); d) placing said deformation measurement apparatus (22) on said viscous apparatus applied such as to trap a layer of said reactive viscous adhesive (50); then applying pressure to said deformation measurement apparatus (22) in order to bring same to a given distance from said proof body (10); and e) causing said reactive viscous adhesive of said layer (50) to react in order to sealingly secure said deformation measurement apparatus (22) to said receiving surface (12) of said proof body (10).
Center Technique Des Industries Mecaniques | Date: 2017-04-05
The invention concerns a method and a facility for progressively transforming a strip of metal material (25). Said method comprises the following steps: Providing a progressive die (12) comprising a plurality of workstations (14, 16, 18, 20, 22, 24); providing a longitudinal strip (25) of a metal material having a series of strip portions (48, 50, 52, 54, 56, 58, 60, 62); and driving said strip (25) through said progressive die (12), at a predefined pitch, while actuating said progressive die (12) at each pitch such that said plurality of workstations (14, 16, 18, 20, 22, 24) simultaneously transforms a plurality of strip portions, Providing heat energy to said strip of metal material (25), upstream from at least one of said workstations of said plurality of workstations (14, 16, 18, 20, 22, 24).
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: NMP.2013.4.0-4 | Award Amount: 1.53M | Year: 2013
The European Manufacturing Industry competitiveness and sustainability strongly depends on Innovation, targeting new consumer needs and societal challenges. This calls for significant public and private investments in R&D, but also a growing capability to transform the created knowledge into new products, processes, services and business models. Many of these challenges are multi-sectorial as the technologies needed to address them, especially in the area of Production Technologies. The EC has supported the development of such horizontal technologies through its R&D programmes, creating a very rich knowledge portfolio over time. However, its exploitation is recognised to be far from its maximum potential, due to many and complex factors including lack of information dissemination, competences, market access, resources, or simply because their cross fertilisation with other sectors is not evaluated. The main goal of EXPLORE is to unleash the full potential of this accumulated knowledge, by promoting its use in developing advanced products and services to address manufacturing industries challenges and needs. EXPLORE will promote and support the exploitation of R&D results, mainly by gathering resources to disseminate (models, case studies, demonstrators) and prepare commercial exploitation; cross-fertilisation, education and standardisation. Such challenges call for the involvement of different stakeholders, gathering complementary knowledge, competences and resources, as: exploitable results of European R&D projects; sectorial challenges and needs; national/regional, private/public funding sources; and a broad European network of partners. The most relevant results and impact are expected to be: higher exploitation rate of results; broader European coverage and impact of R&D\I investments; better alignment and coordination between European and national/regional funding; and a more competitive and sustainable European Manufacturing Industry and society.
Agency: European Commission | Branch: FP7 | Program: CP-TP | Phase: FoF.NMP.2012-2 | Award Amount: 4.55M | Year: 2012
Productivity improvements have major impact on EU economy and competitiveness. Industrial maintenance contributes largely to this competitiveness through reliability and availability of production equipments. The EU market of industrial maintenance can be estimated at 32 Bn/year, in which outsourced maintenance represents 1/3. In continuous production industries (energy, chemical, food, cement or paper sectors) the ratio maintenance costs/added value product is even higher than 25%. In these industries, default component or process failure stop the whole production, therefore predictive maintenance is a critical issue. The objectives of SUPREME are - to develop and use most advanced signal and data processing dedicated to predictive maintenance and energy consumption reduction - to implement these tools in an industrial demonstrator - to develop, exploit and diffuse new tools for predictive maintenance SUPREMEs main challenging results will be: -Innovative reference models for residual life prediction and optimal predictive maintenance of deteriorating system -Embedded advanced signal acquisition and features extractions for varying operating conditions machines -Real time data fusion (vibrations, acoustic emission, motor current, torque,) -Off line data mining and self learning failure mode pattern -Automated loop for monitoring optimal machine stabilization -Dynamically updated condition monitoring software module -Specific dissemination tools The project impact will be the proof of predictive maintenance efficiency, reduction of down-time and energy consumption in manufacturing industry, demonstrated in a coated paper mill. To reach excellence on predictive maintenance, SUPREME consortium integrates key technical players on the maintenance added value chain, gathering technology and service providing SMEs. Partners specialised in SME technology transfer will ensure the exploitation of innovative predictive maintenance concepts in EU manufacturing SMEs.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FoF-03-2014 | Award Amount: 6.00M | Year: 2015
Present approaches to increasing resource efficiency in manufacturing companies are mainly focused on single process optimisation. A wider and integrated optimisation is assumed to have significantly higher savings potential.In fact, a pilot study has been performed by Greenovate!Europe, showing resource saving potentials of 70% Such a strategy should include optimisation across the interfaces between different steps in complex production chains and different companies involved in the overall value chain. In that sense, MEMAN consortium brings together 15 partners from 6 countries represented by industrial enterprises, SMEs mainly, and service companies experts in eco-innovative models, working on improving the competitiveness of the metal mechanic sector, through the full validation of new business models that allow the collaboration of companies in the whole value chain in order to reduce global impacts in terms of energy and other resources. MEMAN project will implement an approach to optimise resource efficiency across 3 manufacturing value chains cases, integrating an analytical toolbox based on MEFA and LCA and providing practical decision-making support. Furthermore, new business models will be developed to support the implementation of global energy and resources efficiency along the 3 value chains. Energy characterisations considering the whole value chain, will be also developed within MEMAN. The consortium has the capacity and ambition of exploiting and reaching the market with the results of the project, at an international level, in terms of technology and business models. Hence, the technologies developed and the synergies created in the project would have the impact estimated bellow. - Energy consumption and CO2 emission reduction for the final product between 20-30% from cradle to gate and between 30-35% from cradle to grave - Products LCC reduction between 10-20% from cradle to grave The budget and the final requested EC contribution reaches 5.998.686
Agency: European Commission | Branch: FP7 | Program: BSG-SME-AG | Phase: SME-2013-2 | Award Amount: 1.97M | Year: 2014
There is a growing interest in monitoring techniques and systems which can provide information about the condition of a wind turbine support structure, owing to a number of operational factors which have become apparent as increased numbers of turbine installations are experiencing longer periods of time in service. These include: Instances of fatigue cracking in the support towers Flange bolts at the ends of the tower sections becoming loose Higher than expected levels of vibration, which could cause either of the above mechanisms Degradation of the grouted joint between the pile and transition piece in offshore installations. Wind farm operators are becoming increasingly concerned at the inability to predict remaining life of the installations, as this a rapidly expanding sector and there is little information about likely rates of structural degradation and failure modes. In addition, experience from operation of older wind farms is of limited value, because the specification of these installations is evolving rapidly, with the capacity (and therefore size and weight) of the generator becoming larger and the consequent dimensions of the tower increasing. The effect is that it is very difficult to extrapolate experience with existing structures to the likely behaviour of new ones. On these installations there are very large surface areas/volumes of material to be examined and degradation may occur almost anywhere, so that the inspection task is not trivial. Furthermore, there is no established structural monitoring industry dedicated to the wind sector. The aim of this project is the development of suitable and reliable techniques for monitoring of wind turbine tower structures and joint that could suffer from grout damage and slippage. This project will also develop a best practice and standardisation of the methods involved and that a programme of information and training for inspection personnel is produced and implemented.
Agency: European Commission | Branch: H2020 | Program: FCH2-RIA | Phase: FCH-01.5-2014 | Award Amount: 6.45M | Year: 2015
H2Ref addresses the compression and buffering function for the refuelling of 70 MPa passenger vehicles and encompasses all the necessary activities for advancing a novel hydraulics-based compression and buffering system that is very cost effective and reliable from TRL 3 (experimentally proven concept) to TRL 6 (technology demonstrated in relevant environment), thereby proving highly improved performance and reliability in accordance with the following targets that have been defined considering the intrinsic characteristics of this new solution: - Throughput: 70 MPa dispensing capacity of 6 to 15 vehicles per hour (i.e. 30 to 75 kg/hr) - depending on the inventory level in source storage of the compressed hydrogen - with a 75 kW power supply; - Robustness and Reliability: 10 years of operation without significant preventive maintenance requirement, demonstrated through intensive lab test simulating 20 refuellings per day during 10 years, i.e. 72,000 refuellings; - CAPEX: Manufacturing cost of 300 k for the compression and buffering module (CBM) assuming serial production (50 systems/yr). This level of cost for the CBM allows to target a cost of 450 k for the complete HRS (including pre-cooling and dispensing), assuming application of the optimized approaches for pre-cooling and dispensing control being developed in the HyTransfer project, far below the current HRS cost of approximately 900 k; - Energy efficiency: average consumption for compression below 1.5 kWh/kg of dispensed hydrogen, i.e. 50% below the energy consumption of current systems, in fuelling stations supplied by trailers, which is and will likely remain the most common form of supply. The knowledge gained will allow subsequent development to focus on optimization of components, of design for manufacturing and maintenance, further demonstration, and the development of a product range for different refuelling station sizes, thus taking this innovation to the market.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FoF-09-2015 | Award Amount: 8.87M | Year: 2015
HORSE aims to bring a leap forward in the manufacturing industry proposing a new flexible model of smart factory involving collaboration of humans, robots, AGVs (Autonomous Guided Vehicles) and machinery to realize industrial tasks in an efficient manner. HORSE proposes to foster technology deployment towards SMEs by developing a methodological and technical framework for easy adaptation of robotic solutions and by setting up infrastructures and environments that will act as clustering points for selected application areas in manufacturing and for product life cycle management (production and/or maintenance and/or product end of life). The main strategy builds on existing technology and research results in robotics and smart factories and integrates them in a coherent framework. The suitability of the resulting framework is not only driven by but will be validated with end-users - manufacturing companies- in two steps: In the first, the joint iterative development of the framework together with selected end-users will take place (Pilot Experiments). In the second, its suitability and transferability to further applications will be validated with new end users, which are recruited by an Open Call mechanism. The novel approaches of HORSE are the integration of concepts such as (physical) human-robot interaction, intuitive human-machine interfaces, and interaction between different robots and machines into an integrated environment with pre-existing machines and workflows. Safety of the human worker as well as reduction of health risks through physical support by the robotized equipment will contribute to better overall manufacturing processes. In these, pre-defined workflows to be customized are the basis for servitisation, for the entire value chain that allow rapid reconfiguration of the robots based collaborative production processes. HORSE aims to foster advanced manufacturing technology deployment by industries and especially SMEs.
Agency: European Commission | Branch: FP7 | Program: CSA-SA | Phase: NMP.2012.4.0-2 | Award Amount: 682.65K | Year: 2012
SASAMs mission is to drive the growth of AM to efficient and sustainable industrial processes by integrating and coordinating Standardisation activities for Europe by creating and supporting a Standardisation organisation in the field of AM. The Additive Manufacturing (AM) concept is based on additive freeform fabrication technologies for the automated production of complex products. Additive Manufacturing is defined as the direct production of finished goods using additive processes from digital data. A key advantage is that AM eliminates the need for tooling, such as moulds and dies, that can make the introduction of new products prohibitively expensive, both in time and money. This enables the production of forms that have been long considered impossible by conventional series productionin fact, they can be created fast, flexibly, and with fewer machines.