Project description
Paving the way for a future of optimised, zero-defect production
In today’s fast-paced manufacturing industry, the pursuit of zero-defect production and enhanced flexibility in production processes remains a formidable challenge for European manufacturers. One of the most promising solutions lies in the integration of simulation tools, measurement devices, and data analysis techniques. The EU-funded STREAM-0D project will provide this. Through real-time control, multi-physics simulation models predict product quality indicators based on critical input parameters with inherent variability. Reduced order modelling techniques will be used to enable real-time execution on portable devices, overcoming computational costs. Demonstrations in the automotive sector will validate STREAM-0D approach’s potential across diverse production methods, materials and processes. This project has the power to boost the competitiveness of European manufacturing.
Objective
Facts: i) Zero-defect manufacturing and flexibility of production processes are some of the main challenges for European manufacturing; ii) One of the engineering tools with higher potential is the linking of simulation tools with measurement devices for real-time control of applications. The huge potential of this synergistic loop remains untapped for manufacturing processes and could be used for reducing product variability, increase line flexibility and achieve zero defect production.
These objectives could be reached by integrating in the production line multi-physics simulation models, able to predict the product quality indicators in response to the values of critical input parameters (components dimensions, material properties, etc), which are unavoidably subject to variability: different batches, different suppliers,... The models will be fed with actual data from online measurements and, based on the model prediction, the critical steps of the line will be controlled to adjust the product to the exact design specifications or to quickly change specifications for producing customised batches. However, doing this in real time is not possible due to the computational cost of models.
Reduced Order Modelling is a new generation of techniques which allow us to obtain parametric solutions of complex models that can be particularized in real time for any value of the parameters. The models run so fast that they can be executed on tablets or smart phones. ROM will be used to transform complex models into the real-time capable models that can be integrated in the production line.
Moreover, the online deployment of ROMs and data gathering systems will generate big data which will be exploited through data analysis techniques for further improving the process.
The project will show proof-of-concept demonstrations in three real process chains of the automotive sector, covering different types of production methods, products, materials and manufacturing processes.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology mechanical engineering manufacturing engineering
- engineering and technology mechanical engineering vehicle engineering automotive engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences computational science multiphysics
- natural sciences computer and information sciences software software applications simulation software
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.5. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
MAIN PROGRAMME
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H2020-EU.2.1.5.1. - Technologies for Factories of the Future
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
IA - Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-IND-CE-2016-17
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
50018 ZARAGOZA
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.