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SimCoDeQ

Simulation tool development for a composite manufacturing process default prediction integrated into a quality control system

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

SimCoDeQ project word cloud

Explore the words cloud of the SimCoDeQ project. It provides you a very rough idea of what is the project "SimCoDeQ" about.

online fast model distortion tool race manager combining industrial finite excessive sensor residual final collaborates models fabric preform mechanical permeability rigid stages tests transferred specialist suffers resin injection moderate variables appropriate tracking propagation integrates monitoring regions trials line purely rtm determined predictive manufacturing distortions physical moulding unified outcomes placed outlet universities simulations porosity develops locations cure site combines generate flow fidelity correct minimise defects transfer suitable numerical exothermic input speeds variability tooling preforming material conditional pressure pilot dry utilises placement simulation stresses inlet understand careful stochastic sealed data

Project "SimCoDeQ" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITAET STUTTGART Organization address address: KEPLERSTRASSE 7 city: STUTTGART postcode: 70174 website: www.uni-stuttgart.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Project website	http://tuxweb.ifb.uni-stuttgart.de/SimCoDeq/
Total cost	694˙088 €
EC max contribution	694˙088 € (100%)
Programme	1. H2020-EU.3.4.5.4. (ITD Airframe)
Code Call	H2020-CS2-CFP01-2014-01
Funding Scheme	CS2-RIA
Starting year	2016
Duration (year-month-day)	from 2016-01-01 to 2019-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITAET STUTTGART UNIVERSITAET STUTTGART Organization address address: KEPLERSTRASSE 7 city: STUTTGART postcode: 70174 website: www.uni-stuttgart.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (STUTTGART)	coordinator	274˙001.00
2	TWI LIMITED TWI LIMITED Organization address address: GRANTA PARK GREAT ABINGTON city: CAMBRIDGE postcode: CB21 6AL website: www.twi.co.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (CAMBRIDGE)	participant	210˙685.00
3	CRANFIELD UNIVERSITY CRANFIELD UNIVERSITY Organization address address: College Road city: CRANFIELD - BEDFORDSHIRE postcode: MK43 0AL website: www.cranfield.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (CRANFIELD - BEDFORDSHIRE)	participant	209˙402.00

Map

Project objective

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.

Deliverables

List of deliverables.
D4.4: Dissemination activities	Documents, reports	2019-12-17 16:28:02

Take a look to the deliverables list in detail: detailed list of SimCoDeQ deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2019	G. Struzziero, B. Remy, A. A. Skordos Measurement of thermal conductivity of epoxy resins during cure published pages: 47015, ISSN: 0021-8995, DOI: 10.1002/app.47015	Journal of Applied Polymer Science 136/5	2019-12-17

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The information about "SIMCODEQ" are provided by the European Opendata Portal: CORDIS opendata.