11/01/2021

TEMACON Artificial intelligence and Machine learning to predict defective Aerospace components made of RTM processes.

Recently Idaero joined TEMACON Project, as part of a consortium with Airbus and IMDEA. Idaero is in charge of development the software including AI and ML core.

One of the goals of TEMACON is reducing defects probability occurrence during manufacturing of aerospace parts by developing TEMACON predictive software.

-First Stage

First stage of the project just finished consisted of prediction of what conditions may lead to defects during RTM manufacturing process.

RTM (Resin Transfer Moulding) process consist of injecting epoxy resin in a mold with carbon fiber, so parts manufactured copy the geometry of the mould and are reinforced with carbon fibres.

RTM process are used widely to improve efficiency while manufacturing composite components for aerospace, automotive, wind power and other industries.

There are some possible defects that may appear in the parts during the process, that affect mechanical properties.

-Second Stage

Second and current stage of the project is the prediction of manufacturing issues when drilling panels for assembling, based on detection of position of the tools on the outer shape of the manufactured panels, that can result in defects in the holes.

-Idaero

Idaero is specialized in developing engineering software of any kind, including Machine Learning and Artificial intelligence solutions applied to improve manufacturing processes.

TEMACON is a Project from Innovation Hub calls of the Regional Government of Madrid and receives funds from Community of Madrid.