Evropská unie

Poskytovatel

00044Cognitive production based on Intelligent Quality, Energy and Maintenance Management

Poskytovatel : Evropská unie
Manažer : Kolář Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020
Příjemce : The Czech Institute of Informatics Robotics and Cybernetic (CIIRC CTU)
Anotace : European industry has recognized the importance of Artificial Intelligence (AI) tools within the context of CPES (Cyber Physical embedded Systems) since they are the keys to provide excellent services, enriched customer knowledge and also exploit new business opportunities. Cognitive production aids to achieve objectives associated with these issues concurrently providing high quality, high energy efficiency, high system availability, performance and cost effectiveness. Cognitive production is enabled by AI techniques that extract value from information related to the on-line status of assets and deploy a decision-based self-learning platform able to react dynamically. COGNINTEL application experiment aims to deploy AI-based decision making and control platform tailored to the machine tools industry to optimize their operations by enabling an holistic and intelligent Quality, Energy and Maintenance Management (QEM) approach. It provides users and plant managers with the right tools to implement cognitive production by ensuring high production efficiency, high quality, minimising the use of resources while optimising maintenance strategies, avoiding safety related failures and minimizing process downtime. This application experiment relies on strong commitment of partners to provide innovative solutions and services to recover COVID-19 crisis within manufacturing sector. The two industrial partners are complementary to each other: SCORTA, through COGNINTEL tool, expects to deliver better products (thread cutting tools and specialised taps) and also better after-sale services, while ERREDUE (the engineering services provider) will deliver AI models for advanced diagnostics and prognostics for machine tool industry. Finally, an effective connection with relevant stakeholders as well as with DIH4CPS members is ensured by the DIH CIIRC CTU through proper communication and networking activities aimed at facilitating access to new technologies and services. CIIRC CTU will also support partners in demonstration trials to prove replicability of results towards other field of applications.
Více informací

21215Network for Empowering People in Added-Value Manufacturing Systems and Technologies

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : University of Patras Laboratory for Manufacturing Systems and Automation
Anotace : M-NEST-II aims to deliver innovative courses enabling the financial exploitation of educational assets (e.g., nuggets, T&LFs, etc.) resultant from two previous activities: M-NEST-I and M-NEST-RIS. M-NEST-II has three main goals: 1) to start implementing educational programs based on EIT-M educational assets targeting the up-/re-skill of CEO/executives and professionals engineers on emergent technologies of added-value manufacturing (AVM); 2) to increase the number of industrial organizations / participants involved in EIT-M activities; 3) to build a robust and flexible business model for the M-NEST distributed factory, aiming the long-term financial return (beyond 2021) of EIT-M-supported educational assets, as well as a self-sustainable strategic agenda for the M-NEST network, covering upcoming industrial needs and other EIT-M flagships. This activity will directly contribute to the financial sustainability of the EIT-M.
Více informací

21166Learning through manufacturing challenges II

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : University of Patras Laboratory for Manufacturing Systems and Automation
Anotace : ManuLearn II aims at increasing the innovation potential of the participating EIT RIS countries by enhancing the educational framework and boosting digitalization under the concept of Industry 4.0. ManuLearn II is considered an extension of ManuLearn, targeting at increasing the impact across industry and academia through the promotion of gender balance and the enhancement of soft skills. Jointly created exchange of experience to industrial manufacturing challenges will be implemented by combining Teaching Factory and Learning Factory concepts with other learning practices. The exchange of industrial challenges and the good practice exchange of experience will be performed through a collaborative network across the industrial and academic sectors. Special focus will be given on Teaching Factory events with skilled women from companies to help motivate young people to avoid gender stereotypes.
Více informací

20078LIFT European Network of Learning Factories

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : Polytechnic University of Milan
Anotace : LIFT Europe proposes to build a broad learning factories network ecosystem where research and technology transfer between academia and industry is fostered. LIFT aims at building up the skills of the future and ad-hoc training curricula to ensure competitiveness of European manufacturing SMEs. In addition, LIFT Europe will create a European community to develop, test and disseminate innovative educational methods and tools for the training that will allow sustainable work between people and robots. Moreover, with the support of the EIT, LIFT will design, develop and deliver digital nuggets to be released in the EIT Manufacturing’s Guided Learning Platform.
Více informací

20136Learning through manufacturing challenges

Poskytovatel : Evropská unie
Manažer : Mareš Martin
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : University of Patras Laboratory for Manufacturing Systems and Automation
Anotace : ManuLearn aims to enhance the innovation capacity or the participating EIT RIS countries by improving their educational framework and by boosting their digital capabilities in order to face the future manufacturing challenges. In this framework, the activity aims to deliver a program where students, researchers and companies will work together to mutually develop skills through co-creating solutions to industrial manufacturing challenges; combining Teaching Factory (TF) and Learning Factory (LF) concepts with Open Innovation practices, addressing the demands of both students and professionals. This will be achieved through a collaborative network, facilitating the exchange of industrial challenges and providing novel solutions, bringing together academia and industry. Each challenge along with the knowledge generated will be shared with the complete network, creating value across all participating EIT RIS countries.
Více informací

20003Learning Factory to Implement Industry 4.0 in Machining

Poskytovatel : Evropská unie
Manažer : Matyska Vojtěch
Řešitel : Sulitka Matěj
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : Mondragon University
Anotace : Mach 4.0 is a training and learning activity which demonstrates the practical application of Industry 4.0 in machining processes. The program involves applying data analytics, big data, etc. to new manufacturing trends such as digital twin and zero defects manufacturing. Bringing together the theoretical and practical expertise in machining of four university partners, this innovative program employs a mix of practical and theoretical lessons, delivered in both face-to-face and remote formats. The course will be implemented on the Guided Learning Platform (GLP) of EIT Manufacturing in a version that can be opened out to other universities or training institutions. This will extend the knowledge transfer to industry, and in particular SMEs, ensuring increased impact of the project.
Více informací

20039Network for Empowering People in Added-Value Manufacturing Systems and Technologies – Regional Innovation Scheme

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : Inegi
Anotace : M-NEST-RIS will support the development and implementation of a new paradigm in the learning of added-value manufacturing (AVM) in Europe, based on the creation of a distributed Teaching and Learning Factory prepared to address the challenges raised by the exponential introduction of new AVM technologies (in the context of Industry 4.0) concerning people qualification. The aim of this project is to nurture and empower people to work in and to foster AVM in EIT RIS countries with moderate or modest innovation capacity, such as Czech Republic, Estonia, Greece and Portugal. Considering the RIS3 priorities of these regions, but also its important turnover and employment capacity all over Europe, the automotive sector is at focus. Relevant AVM technologies, processes, machines and SW gathered within the partners’ testbeds will be used to build innovative learning activities and demonstrate the feasibility and the added value of the network to address the RIS/ sector/ qualification needs identified.
Více informací

CE318Network of Technology Transfer Nodes for Enhanced Open Innovation in the Central European Advanced Manufacturing and Processing Industry

Poskytovatel : Evropská unie
Manažer : Smolík Jan
Řešitel : Smolík Jan
Výzva : INTERREG Central Europe
Příjemce : Centre of Research and Technological Innovation, s. r. l.
Anotace : EU most important automation & mechatronic industries are in CE regions: business dimension is intercontinental but the services to kick innovation are still local & this slows quick canalization of R&D results from EU & CE labs into the industrial system. This makes tech-transfer & brokerage commissioned by companies long, expensive, often duplicate efforts & do not respond to the time-to-market requirements. The challenge is increasing & federating these services to accelerate the transposition of KET from EU-funded research & CE labs in new end-users components & apps for CE advanced manufacturing industries. NUCLEI main objective is to change the obsolete innovation management model from a “local-based” technology scouting approach to a transnational pool of knowledge supporting advanced manufacturing innovation beyond regional borders. This increases economic interdependences among seven S3-manufacturing Regions & encourages more effective transnational value chains in automotive, electrical industry, IT sector, robotic & mechanic automation. Such joint knowledge sourcing approach helps 7 NUCLEi industrial clusters & its end-beneficiaries (Corporations, SMEs, R&D performers) to foster process of emergence of new consortia/business deals for execution of bold technological, product, market projects. The creation of 1 broad&collaborative environment, initially tested by 100 testimonial companies from 7 CE Regions, is expected to increase linkages with innovators outside own regions by 40-50%, accelerate the time-to-market of R&D concepts (from EU-funded research &CE laboratories to companies) by 15-20%, increase R&D expenditure & patent applications by 2-3% of mid-term turnover. Drivers to run innovation are 1 joint cloud based on FoF-IMPACT&COFACTOR H2020 projects, 3 pilots (tech-brokerage; knowledge transformation; mechatronic standardization) & 1 Business Innovation Strategy to expand NUCLEi i-services within each regional S3 as driving force
Více informací

609306Inteligentní upínací přípravky pro obrábění dílců s nízkou tuhostí „InteFix“ Inteligentní upínací přípravky pro obrábění dílců s nízkou tuhostí „InteFix“

Poskytovatel : Evropská unie
Manažer : Kolář Petr
Řešitel : Kolář Petr
Výzva : FP7-ICT - Specific Programme "Cooperation": Information and communication technologies
Příjemce : FUNDACION TEKNIKER
Anotace : In the manufacturing industry, the machining of medium and big size parts with the required and suitable precision is a challenge, especially in high added value products manufactured in small or single-unit batches made of high performance materials like in aeronautic, space or energy sectors, where conventional process engineering and test/error methods are not completely efficient.INTEFIX aims to increase the performance of the machining processes by the use of intelligent fixture systems, allowing the monitoring, control and adaptation of the process to obtain suitable results according to precision, quality and cost requirements.The main outcome of INTEFIX project will be the integration of new and state of the art technologies (sensors, actuators, control algorithms, simulation tools...) applied to the workpiece handling systems to develop intelligent and modular fixtures capable of modify the behaviour and interactions between the process and systems in machining operations; reducing time and costs with improved performance and capabilities.The proposed intelligent-modular fixture is a step forward to the smart manufacturing, providing new features of automation, flexibility, versatility, cost-efficiency and accuracy to the current, state of the art, manufacturing systems and equipment.The intelligent fixture will provide sensors and active drives to obtain a suitable fix of the component modifying the force and position of active locators and clamps, in order to select the suitable static and dynamic behavior of the machine-fixture system for improving the process (setup, deformations, vibrations...). This implies a fast-reliable connection and data transfer between the different ICT systems (CNC, PLC, sensors, actuators, CAD-CAM...) using ad-hoc methodologies and software.Furthermore, the use of modular elements eases disassembling and reuse of the advanced components improving the flexibility and sustainability of the manufacturing process.
Více informací

314413Vysoce dynamické frézování tenkostěnných obrobků „DynaMill“

Poskytovatel : Evropská unie
Manažer : Sulitka Matěj
Řešitel : Sulitka Matěj
Výzva : FP7-NMP - Specific Programme "Cooperation": Nanosciences, Materials and new Production Technologies, Nanotechnologies
Příjemce : FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Anotace : Lightweight components are gaining in importance in EU key industries with good market growth potential (aerospace, automotive, power generation, medical technology etc.). To achieve weight reductions, complex thin-walled structures are combined with high strength materials. However, the lower stiffness of work pieces leads to severe challenges during the milling process: - Difficulty to achieve high work piece quality, due to vibration and process forces, in industries that have very high safety and quality requirements (aviation, space etc.). Therefore, in many cases manual finishing of the work pieces is required. - Achievement of acceptable work piece quality only through time and resource consuming trial and error identification of process parameters that circumvent critical process states. This often results in slow and inefficient processes. To overcome these problems, DynaMill aims at achieving the complete control over the milling process of thin-walled work pieces. This will be realised through a threefold approach combining the development of process planning, adaptive clamping devices and improved cutting conditions. Subsequently, these three developments will be integrated in the DynaMill Technology as a platform. Throughout the project demonstration of intermediate and integrated solutions will play an important role. The concrete impacts for industry include: - 30% reduction of production time and costs - 80% increase in process stability - 30% reduction of power, compressed air and coolants - 60% reduction of process set-up time and 70% reduction of wasted raw materials during set-up - 20% improvement of tool life - Elimination of finishing operations As a result the competiveness of European industry will be enhanced significantly. For the project, a strong consortium consisting of two research institutes, four manufacturers of key technologies (CAM software, machine tools, clamping devices and tools) and four end users has been gathered.
Více informací
1 2

Vyhledávání projektů