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Simulation tool development for a composite manufacturing process default predic...

Simulation tool development for a composite manufacturing process default prediction integrated into a quality control system Resin Transfer Moulding (RTM) involves moderate pressure resin injection of a dry preform placed in sealed rigid tooling. Fast and effective processing requires correct placement of the reinforcement to avoid defects and potential... ver más

30/04/2019

USTUTT

694K€

Presupuesto del proyecto: 694K€

Líder del proyecto

UNIVERSITY OF STUTTGART No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-04-30

JTI-CS2-2014-CFP01-AIR-02-06: Simulation tool development for a c...

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Cerrada hace 9 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

3 Participantes

USTUTT

274.00K€ | Lider

CRANFIELD UNIVERSITY

209.40K€ | Participante

TWI LIMITED

210.69K€ | Participante

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Duración del proyecto: 40 meses Fecha Inicio: 2015-12-04
Fecha Fin: 2019-04-30

Líder del proyecto

UNIVERSITY OF STUTTGART No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 694K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Resin Transfer Moulding (RTM) involves moderate pressure resin injection of a dry preform placed in sealed rigid tooling. Fast and effective processing requires correct placement of the reinforcement to avoid defects and potential race tracking, appropriate selection of inlet and outlet locations, and careful control of flow speeds to minimise porosity and dry regions; furthermore, suitable cure conditions are needed to avoid under-cure, or exothermic effects that generate excessive residual stresses and final part distortions. Today, finite element simulation is regularly used to design injection processes and cure. However, purely predictive simulation suffers from issues related to uncertainty and variability in material state and numerous process variables. Online monitoring of resin flow in tests and stochastic simulations to understand effects of material and model variability on flow processes could be two methods to enhance fidelity of numerical simulation models. The proposed project integrates three approaches to provide a unified integrated simulation tool combining predictive modelling, variability propagation and process monitoring. Input utilises material data and models to be developed with physical resin sensor results, from which process outcomes, conditional on material and process variables, are determined. The proposed work develops this concept for the three stages of RTM processing; namely, preforming, injection and cure. The overall concept will be implemented on a pilot RTM line and then transferred to the Topic Manager’s manufacturing site, where it will be used for trials. The project combines two universities with specialist knowledge in fabric mechanical and permeability modelling, resin test and modelling and numerical simulation of RTM processes and final part distortion. One industrial partner collaborates on industrial RTM and flow monitoring.

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