Objective
Resin transfer moulding (RTM) and its derivatives offer SMEs a relatively low cost entry into a flexible process for the production of quality polymer composite parts in medium to high production runs. Increased legislation on styrene emission makes RTM one of the few viable options for moulders using conventional open mould processes. SMEs need technical support in applying the RTM process, from part design, material selection to tool optimisation. Powerful computing technology is now accessible to the smallest company, with the potential to capture and simulate the intuition and expertise of RTM experts. It is proposed to develop a flexible, intelligent computer system for the application of RTM technology. It would be difficult to codify complex information received from the moulder into explicit rules in conventional expert systems. Combining neural networks and expert systems has the potential for producing a system with the ability to solve problems based on progressive learning. Rapra Technology Ltd., TNO and Napier University are the RTD performers responsible for developing the user friendly, trainable framework. A consortium of EU SME proposers will train the framework into a system capable of solving RTM problems. Following the 2 year research period, will be further development to produce a commercial software tool for the totally integrated application of polymer composites using RTM.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- engineering and technology materials engineering composites
- natural sciences chemical sciences polymer sciences
- natural sciences computer and information sciences artificial intelligence expert systems
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
PL18 9AR Gunnislake
United Kingdom
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Participants (19)
5667 KX GELDROP
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79268 Bötzingen
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7255 PT HENGELO GLD
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HR2 6JZ Hereford
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5600 AH Eindhoven
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2370 Arendonk
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4703 RL Roosendaal
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CR4 4NA Mitcham
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SS6 7TZ Rayleigh
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95126 Catania
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33051 Aquileia Udine
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EH10 5DT Edinburgh
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1780 AB Den Helder
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1671 GC MEDEMBLIK
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41590 La Roda Andalucia
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SY4 4NR SHREWSBURY
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CT17 0UF Dover
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CV35 0JA Kineton
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28814 Daganzo de Arriba
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