Optimisation of an in-process lineal dielectric sensor for liquid moulding of carbon fibre composites

Date

2020-11-04

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

1359-835X

Format

Citation

Mesogitis T, Maistros GM, Asareh M, et al., (2021) Optimisation of an in-process lineal dielectric sensor for liquid moulding of carbon fibre composites. Composites Part A: Applied Science and Manufacturing, Volume 140, January 2021, Article number 106190

Abstract

A dielectric sensor appropriate for process monitoring of carbon fibre composites manufacturing has been optimised and implemented in Resin Transfer Moulding (RTM). The sensor comprises a pair of twisted insulated copper wires and can be adapted to monitor both flow and cure. To simulate the dielectric response of the sensor, an electric field model was developed. The model was coupled with a multi-objective optimisation genetic algorithm to optimise the sensor design. The optimisation showed that increasing wire radius and decreasing coating thickness increases sensor sensitivity. Different sensor designs were implemented and used in a series of RTM trials to validate the technology in industrial conditions. The sensor operated successfully at pressures up to 7 bar and temperatures up to 180°C. A low diameter sensor using copper wire coated with polyimide showed the best response monitoring flow with an accuracy of 95%, whilst also following the cure and identifying vitrification

Description

Software Description

Software Language

Github

Keywords

Resin transfer moulding (RTM), Process monitoring, Computational modelling, Carbon fibres

DOI

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

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