• Francisco Ribeiro Fernandes
4. term, Manufacturing Technology, Master (Master Programme)
Reducing void content in components produced via Resin Transfer Moulding (RTM) is one of the challenges for improving the surface quality achieved with this manufacturing process. This thesis is an attempt to understand the impact of RTM process parameters vacuum assistance, injection pressure and hydrostatic pressure, in the void content and in the surface quality of the laminate. To perform this study it was devised a strategy that consisted in two iterative stage processes, which were intercalated by an intermediate learning process. The first stage consisted in defining and implementing an initial hypothesis for the Sensor Nose Cone, based on information collected from the reviewed literature. Afterwards, the intermediate learning process was planned based on a factorial design at two levels, which allowed to analyse behavioural trends caused by changes in the process parameters. At last, the second stage consisted in defining and implementing a hypothesis based on the results of the intermediate learning process.
The results obtained in this study showed that using a combination of a low injection pressure value combined with a high hydrostatic pressure have contributed to a better surface quality of the Sensor Nose Cone. Additionally, despite the use of vacuum assistance did not have shown a positive influence for the Sensor Nose Cone surface quality, it provided benefits when applied to flat panels in the designed experiments. It was concluded that this may have been due to the fact that the designed experiments did not represent the true state of nature for the Sensor Nose Cone scenario.

Publication date1 Jun 2016
Number of pages97
External collaboratorTerma AS
Engineer Philippe Courrier pco@terma.com
Place of Internship
ID: 234542569