Computational Cloud Services and Workflows for Agile Engineering
Summary
CloudFlow will enable the remote use of computational services distributed on the cloud, seamlessly integrating these within established engineering design workflows and standards. CloudFlow aims to empower the different engineering disciplines with on-demand access to scalable computational services, allowing them to start any process when desired and without the need for a complex local infrastructure of cutting-edge high performing computers. The new engineers’ workplaces do not need to be equipped with expensive software (CAD, CAM, CAE, PLM, data archival) and their required operating systems and versions, or with special hardware (CPU, RAM, GPU) and their dedicated drivers. Therefore, the engineer will not need multiple computers for different tasks; or in the case of limited computers, the engineers will not need to wait for the availability of the resources.
In order to master these challenges, CloudFlow will address different aspects of computational cloud services for engineering. From a technical point of view, the project will focus on:
data (exchange and integration);
services (adaptation, interoperability); and
workflows (integration, co-operation).
The technical aspects will consider the current situation at the engineering workplaces and they will adapt and customize the existing technology to better serve the current needs in an agile and flexible manner. From a user prospective, the project will deal with:
usability and accessibility;
business models; and
competitive calls (for application experiments).
In this context, it will prepare the engineers to use the computational services on the cloud, it will investigate and create new business models to use these kinds of services on demand and it will continuously be refined by means of involving more users and more system vendors, with different needs, and with different application experiments being called for in competitive calls.
More information
Web resources: |
http://www.eu-cloudflow.eu
https://cordis.europa.eu/project/rcn/109868/factsheet/en |
Start date: | 01-07-2013 |
End date: | 31-12-2016 |
Total budget - Public funding: | 8 742 828,00 Euro - 6 623 000,00 Euro |
Call topic: | Application experiments for robotics and simulation (I4MS) (FoF.ICT.2013.7.1) |
Location
More details
Comment: Increasing competitiveness through optimizing design, engineering and manufacturing for SMEs
Comment: Improving quality, reducing time and shortening time-to-market through HPC Cloud software services along the design, engineering and manufacturing chain.
Comment: Make HPC Cloud services a usabe and useful tool for designers and engineers in manufacturing SMEs,
Comment: Engineering workflow support and new types of Web-based engineering workplaces for accessing and using Cloud-based services
Comment: Contributing to the attractiveness of design and engineering workplasec by reducing tedios, repetitive tasks, so that engineers can concentrate more on creative tasks
Comment: 6 of the CloudFlow application experiments are rooted in the design and engineering chain for hydrowater plants which are one important pillar of the green energy sector
Comment: Machining simulation and finding optimal machining strategies contribute to wasting lass raw material (e.g. metal) and energy (electricity consumed by NC machines)
Comment: Reduction of consumed energy and increase of the energy generated in hydropower plants through optimised turbines
Comment: reduction of waste of raw material through better machining simulation
Comment: reduce the waste of raw material
Comment: Simulation-based optimization of product designs, reduced number of physical prototypes contribute - in general - to a reduction of errors and scraps
Comment: Design, engineering and manufacturing in the green energy sector, engineering workflow support, HPC/Cloud engineering software services
Comment: hydropower plants, Kaplan turbines
Comment: hydropower plant maintenance, repair and overhaul (MRO), one-of-a-kind products
Comment: green energy sector, energy efficiency
Contacts
Latest news
Results
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Designing Turbine Blades for Hydropower Plant...
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Simulating Machining Processes in the Cloud (...
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Efficiency Optimization of a Water Turbine vi...
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Product Lifecycle and Engineering Data Manage...
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Simulating the Safety of a Hydropower Plant a...
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Comparing CAD Models with 3D Scanned Manufact...
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Electronics Design Automation (EDA) - Modeli...
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SIMCASE
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Plant simulation and optimization in the clou...
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Cloud based HPC supported cooling AirFlow opt...
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Cloud-based multiphase flow simulation of a b...
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Automobile headlight design-thermal simulatio...
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CFD design of biomass boilers in the cloud ...
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HPC Workflow for Simulation and Optimization ...
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CUSTOMISE - Cyber physical system-enabled, su...
Demonstrators
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Designing Turbine Blades for Hydropower Plant...
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Simulating Machining Processes in the Cloud (...
-
Efficiency Optimization of a Water Turbine vi...
-
Product Lifecycle and Engineering Data Manage...
-
Simulating the Safety of a Hydropower Plant a...
-
Comparing CAD Models with 3D Scanned Manufact...
-
Electronics Design Automation (EDA) - Modeli...
-
SIMCASE
-
Plant simulation and optimization in the clou...
-
Cloud based HPC supported cooling AirFlow opt...
-
Cloud-based multiphase flow simulation of a b...
-
Automobile headlight design-thermal simulatio...
-
CFD design of biomass boilers in the cloud ...
-
HPC Workflow for Simulation and Optimization ...
-
CUSTOMISE - Cyber physical system-enabled, su...
Organisations
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| Fraunhofer IGD (Coördinator)
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| ARCTUR RACUNALNISKI INZENIRING DOO
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| CONSULTORES DE AUTOMATIZACION Y ROBOTICA S.A.
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| Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
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| Fraunhofer IGD
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| ITI GESELLSCHAFT FUR INGENIEURTECHNISCHE INFORMATIONSVERARBEITUNG MBH
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| Institute for Advanced Manufacturing - University of Nottingham
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| JOTNE EPM TECHNOLOGY AS
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| Missler Software
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| NUMERICAL MECHANICS APPLICATIONS INTERNATIONAL SA
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| STELLBA HYDRO GMBH & CO KG
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| STIFTELSEN SINTEF