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Project Outline
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This PhD is aligned with the Clean Sky 2 project: Simulation tool development for a composite manufacturing process, default prediction integrated into a quality control system (SimCoDeQ) under Grant agreement No. 686493. This research project integrates three approaches to provide a simulation tool combining predictive modelling, variability propagation and process monitoring. Primarily, the aim is to enhance the understanding of resin flow and cure kinetics during the resin transfer moulding process to improve predictive models. The overall concept addresses the development of a stochastic simulation tool, which will be implemented on a pilot resin transfer moulding (RTM) line, where evaluation and non-destructive testing (NDT) demonstration runs will take place. The approach that was followed and is related to the PhD work is the development of an online resin flow monitoring system.
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Publications
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Pouchias, A.; Cunningham, P.R.; Stein, J.; Kazilas, M. Development of a Flexible Dielectric Sensor for Flow Monitoring of the Liquid Resin Infusion Process. Sensors 2019, 19, 5292. https://doi.org/10.3390/s19235292
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