The Politecnico di Torino is an engineering public university based in Turin, Italy. Established in 1859, Politecnico di Torino is Italy’s oldest technical university. The university offers several courses in the fields of Engineering, Architecture and Industrial Design. Wikipedia.
Polytechnic University of Turin, INSA Lyon, Doceram Medical Ceramics Gmbh, University of Lyon and French National Center for Scientific Research | Date: 2015-02-13
A process is described, for producing zirconia-based multi-phasic ceramic composite materials, comprising the steps of: providing at least one ceramic suspension by dispersing at least one ceramic zirconia powder in at least one aqueous medium to obtain at least one matrix for such composite material; providing at least one aqueous solution containing one or more inorganic precursors and adding such aqueous solution to such ceramic suspension to surface modify such ceramic zirconia powder and obtain at least one additived suspension; quickly drying such additived suspension to obtain at least one additived powder; heat treating such additived powder to obtain at least one zirconia powder coated on its surface by second phases; and forming such zirconia powder coated on its surface by second phases.
Polytechnic University of Turin | Date: 2017-05-17
A system is described for locating the barycenter of at least one object orbiting in space, such as for example space debris, adapted to allow the physical and mechanical characterization of the identified object, comprising: at least one remote sensor (1) placed on board a station (2) adapted to detect the space coordinates of certain points (Pi) belonging to the identified object (3), with respect to a space reference system; first means for acquiring data related to positions assumed in time by the points (Pi) for reconstructing the trajectory followed by the points (Pi); second means for determining the instantaneous rotation axes of the identified objects associated with the trajectory, for determining a segment perpendicular to each pair of the instantaneous rotation axes in a sequence and for locating the mean point of the segment; and third means for computing a discrete function d(tk) of the length of the segments, for computing an envelope curve (c) of the local maxima of the discrete function d(tk) and for determining the minimum of the envelope curve (c) for locating the barycenter G(tk*) of the identified object. A process of physical and mechanical characterization of the identified object through the system is further described.
Polytechnic University of Turin, Hexagon Metrology S.p.A. and Cerrato S.r.l. | Date: 2017-05-24
A mobile unit (5) is described for measuring running paths for handling systems, in particular bridge cranes, sliding on a route (2), comprising at least one first measuring means (62) which constitutes a space reference of the mobile unit (5) with respect to at least one fixed measuring unit (3) comprising second measuring means (61), the first measuring means (62) being connected to the mobile unit (5) by interposing at least one handling means adapted to synchronize measuring operations between the first measuring means (62) and the second measuring means (61) of said fixed measuring unit (3). A system for measuring (1) running paths for handling systems through such mobile unit (5) and a process for measuring through such system (1) are further described.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: LCE-09-2015 | Award Amount: 27.97M | Year: 2016
This proposal is an application to the EU programme Horizon 2020 and its topic Large scale energy storage (LCE-09-2015). The presented project STORE&GO will demonstrate three innovative Power to Gas storage concepts at locations in Germany, Switzerland and Italy in order to overcome technical, economic, social and legal barriers. The demonstration will pave the way for an integration of PtG storage into flexible energy supply and distribution systems with a high share of renewable energy. Using methanation processes as bridging technologies, it will demonstrate and investigate in which way these innovative PtG concepts will be able to solve the main problems of renewable energies: fluctuating production of renewable energies; consideration of renewables as suboptimal power grid infrastructure; expensive; missing storage solutions for renewable power at the local, national and European level. At the same time PtG concepts will contribute in maintaining natural gas or SNG with an existing huge European infrastructure and an already advantageous and continuously improving environmental footprint as an important primary/secondary energy carrier, which is nowadays in doubt due to geo-political reasons/conflicts. So, STORE&GO will show that new PtG concepts can bridge the gaps associated with renewable energies and security of energy supply. STORE&GO will rise the acceptance in the public for renewable energy technologies in the demonstration of bridging technologies at three living best practice locations in Europe.
Agency: European Commission | Branch: H2020 | Program: SGA-RIA | Phase: FETFLAGSHIP | Award Amount: 89.00M | Year: 2016
Understanding the human brain is one of the greatest scientific challenges of our time. Such an understanding can provide profound insights into our humanity, leading to fundamentally new computing technologies, and transforming the diagnosis and treatment of brain disorders. Modern ICT brings this prospect within reach. The HBP Flagship Initiative (HBP) thus proposes a unique strategy that uses ICT to integrate neuroscience data from around the world, to develop a unified multi-level understanding of the brain and diseases, and ultimately to emulate its computational capabilities. The goal is to catalyze a global collaborative effort. During the HBPs first Specific Grant Agreement (SGA1), the HBP Core Project will outline the basis for building and operating a tightly integrated Research Infrastructure, providing HBP researchers and the scientific Community with unique resources and capabilities. Partnering Projects will enable independent research groups to expand the capabilities of the HBP Platforms, in order to use them to address otherwise intractable problems in neuroscience, computing and medicine in the future. In addition, collaborations with other national, European and international initiatives will create synergies, maximizing returns on research investment. SGA1 covers the detailed steps that will be taken to move the HBP closer to achieving its ambitious Flagship Objectives.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.39M | Year: 2017
TREASURE will provide specialist training in the strategic and emerging area of European GNSS. Collectively, GNSS (Global Navigation Satellite Systems) includes systems such as the US Global Positioning System (GPS) and the Russian GLONASS, as well as the new, under development systems like Chinas Beidou and most importantly Europes Galileo. Galileo is what we call the European GNSS (EGNSS) and is to be fully operational around 2020, therefore the pressing need to invest on research and training right now. This is especially so because GPS has clearly been the frontrunner of all these systems and has dominated the market for two decades now. EGNSS (Galileo) is aimed at changing this market unbalance and is the main focus of this proposal, which concentrates on its use in support of applications demanding high accuracy positioning and navigation. TREASUREs cohort of 13 young researchers will be given gap-bridging innovative training through an exceptional and unique network of industrial, research and academic beneficiaries, with the aim to form a group of outstanding researchers who would not be able to acquire the equivalent set of skills by training at any individual European institution alone. World-class expertise on EGNSS exists in Europe, however multi-disciplinary research skills need expanding to maximise the enormous potential that there is for promotion and exploitation of this technology. TREASURE addresses that need and responds to the much desired involvement of end-users and businesses, by bringing together four top Universities, one research Institute and four leading European companies, with extensive track record and experience in a wide breadth of disciplines to provide the necessary coordinated research training that will enable the ultimate real time high accuracy EGNSS solution.
Agency: European Commission | Branch: H2020 | Program: SGA-RIA | Phase: FETFLAGSHIP | Award Amount: 89.00M | Year: 2016
This project is the second in the series of EC-financed parts of the Graphene Flagship. The Graphene Flagship is a 10 year research and innovation endeavour with a total project cost of 1,000,000,000 euros, funded jointly by the European Commission and member states and associated countries. The first part of the Flagship was a 30-month Collaborative Project, Coordination and Support Action (CP-CSA) under the 7th framework program (2013-2016), while this and the following parts are implemented as Core Projects under the Horizon 2020 framework. The mission of the Graphene Flagship is to take graphene and related layered materials from a state of raw potential to a point where they can revolutionise multiple industries. This will bring a new dimension to future technology a faster, thinner, stronger, flexible, and broadband revolution. Our program will put Europe firmly at the heart of the process, with a manifold return on the EU investment, both in terms of technological innovation and economic growth. To realise this vision, we have brought together a larger European consortium with about 150 partners in 23 countries. The partners represent academia, research institutes and industries, which work closely together in 15 technical work packages and five supporting work packages covering the entire value chain from materials to components and systems. As time progresses, the centre of gravity of the Flagship moves towards applications, which is reflected in the increasing importance of the higher - system - levels of the value chain. In this first core project the main focus is on components and initial system level tasks. The first core project is divided into 4 divisions, which in turn comprise 3 to 5 work packages on related topics. A fifth, external division acts as a link to the parts of the Flagship that are funded by the member states and associated countries, or by other funding sources. This creates a collaborative framework for the entire Flagship.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BIOTEC-02-2016 | Award Amount: 6.43M | Year: 2017
Municipal solids waste (MSW) are collected by municipalities and represents more than 500 kg/capita (EU-27 average), 300 million tonnes overall every year in the EU-32. Currently, approximately 50% of this volume is landfilled. More than 1.3 million tonnes of Marine rest raw material (MRRM) are generated in Europe each year. Some countries, such as Norway and Denmark, have traditionally for animal feed. It will therefore be a challenge for the industry to develop methods to turn fish viscera and skin, currently considered as undesirable raw materials for hydrolysis and human consumption, into profitable products. DAFIA will exploit MSW and MRRM as feedstocks for high value products. The parallel exploitation of the two feedstocks may create synergies. This expertise will be utilised in process development from MSW, while at the same time, new added-value products may be identified from both feed stocks. The main objective of the DAFIA project is to explore the conversion routes of municipal solid waste (MSW), and marine rest raw-materials (MRRM) from the fish processing industries, to obtain high added value products, i.e. flame retardants, edible/barrier coatings and chemical building blocks (dicarboxylic acids and diamine) to produce polyamides and polyesters for a wide range industrial applications. Different value-chains and products will be selected and explored based on the potential commercial value and the technical feasibility including new microbial strains and processes for conversion of major feedstock fractions, enzymatic and chemical modifications of components isolated from the feedstock or produced in microbial processes. Up to four cost-effective molecule groups suitable for the final selected applications will be targeted (nucleic acids, dicarboxylic acids, diamines and gelatine), & two value-chains (MSW & MRRM) will be evaluated at pilot scale to reach TRL5.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: NMBP-17-2016 | Award Amount: 6.31M | Year: 2017
NEXTOWER shall introduce a set of innovative materials to boost the performance of atmospheric air-based concentrated solar power (CSP) systems to make them commercially viable. In particular, tower systems are appealing for the great environmental compatibility and offer tremendous potential for efficient (electrical and thermal) power generation. Yet, their industrial exploitation has been so far hindered by limitations in the materials used both for the central receiver - the core component - and for thermal storage. Such limitations dictate maximum working temperature and in-service overall durability (mainly driven by failure from thermal cycling and thermal shocks). Improving the efficiency of a tower system entails necessarily improving the central receiver upstream and possibly re-engineering the whole systems downstream to work longer and at much higher temperature, especially in the thermal storage compartment. NEXTOWER will address this need by taking a comprehensive conceptual and manufacturing approach that will optimize bulk and joining materials for durability at the component level to achieve 25 years of maintenance-free continued service of the receiver and maximum thermodynamic efficiency at the system level. This is made possible through a unique combination of excellence in materials design and manufacturing, CSP full-scale testing facilities brought together in the Consortium, supporting the making of a new full scale demo SOLEAD (in Turkey) within the project. The successful achievement of a new generation of materials allowing for virtually maintenance free operations and increased working temperature shall result in the next-generation of air-coolant CSP highly competitive over other CSP alternatives and sustainable power supply options.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMBP-23-2016 | Award Amount: 3.90M | Year: 2017
The mission of COMPOSELECTOR is to develop a Business Decision Support System (BDSS), which integrates materials modelling, business tools and databases into a single workflow to support the complex decision process involved in the selection and design of polymer-matrix composites (PMCs). This will be achieved by means of an open integration platform which enables interoperability and information management of materials models and data and connects a rich materials modelling layer with industry standard business process models. In order to satisfy the need for effectively designing and producing increasingly sophisticated materials, components and systems with advanced performance on a competitive time scale there is a particular need in industry for chemistry/physics-based materials models and modelling workflows which capture the performance of materials, accounting for material internal microstructure and effects of processing, provide accuracy/validation of predicted data, and relevant management of uncertainty and assemble knowledge ready for decision makers to act upon. COMPOSELECTOR will address these needs by integration of (discrete and continuum) materials models and process models as well as structured and unstructured data into a standards-based, open integration framework, implementing uncertainty management and multi-criteria optimisation in order to provide actionable choices, and building tailored knowledge apps to support decision makers. The human interface of COMPOSELECTOR will be supported by Visual Analytics capable of integrating qualitative, quantitative and cognitive aspects for a user-friendly management of the vast quantity of available data. The COMPOSELECTOR BDSS will be applied to and validated by end users targeting accurate, reliable, efficient and cost effective decision-making and management of polymer matrix composite (PMC) materials in the transport and aerospace value chains.