Project description
Improved mould designs for fabricating flange wheels
The EU-funded INN-PAEK project plans to produce a flange wheel based on a family of thermoplastics called polyaryletherketone. The project will apply the injection moulding process that has been developed, validated and optimised by the AITIIP Technology Center in Spain over the last 25 years. The process has found use in the production of complex parts for automotive, urban furniture and medical applications. Project activities will focus on the simulation of rheological, kinematic and mechanical properties, validation tests of coupons and specimens, and the development of optimisation algorithms for selecting the optimal material formulation. Additive manufacturing technologies will be used to produce complex moulds that will modify the flange wheel's geometry.
Objective
INN-PAEK will face the industrial production of the PAEK-based Flange Wheel for the electrical environmental control system by applying the 5Ms injection window process developed, validated and optimised by AITIIP over the last 25 year for transferring complex metallic parts to lightweight polymeric components.
The 5Ms injection window process starts Modelling the bests solution, combining
i) rheological, kinematic and mechanical simulation, ii) validation (coupons and specimens) tests and iii) optimisation algorithms to select the optimal Material formulation and its transformation process as well as the Mould geometry and the required innovations. In INN-PAEK, this process will be also based on the capacity of the additive manufacturing technologies to produce complex moulds that will modify its geometry during the transformation process to get properly adapted to complex geometries. Finally, the 5Ms injection window process includes destructive (mainly mechanical) and non-destructive (tomography) tests to check the right Manufacturing of the polymeric part, allowing to implement the required modifications in the mould and feeding the Machine learning phase, based on optimisation algorithms generated in previous research and innovation projects. The machine learning phase will also consider the information captured from the technician experience, the dedicated in process sensors (rheological sprue) implemented in the injection machine and the LCA and LCC analysis of the final parts.
This process has been already successfully used by AITIIP with complex parts for automotive, urban furniture or medical applications among others. INN-PAEK will demonstrate the production of flange wheel with a cost reduction by 30%, a weight reduction by 40% that implies a CO2 emissions reduction by 30 during the operation phase as well as a 20% reduction during the manufacturing process.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences mathematics pure mathematics geometry
- engineering and technology mechanical engineering manufacturing engineering additive manufacturing
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
MAIN PROGRAMME
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H2020-EU.3.4.5.6. - ITD Systems
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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-CS2-CFP11-2020-01
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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.
50720 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.