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26/01/2021

TEMACOM Artificial intelligence and Machine learning to predict defective Aerospace components

 

Recently Idaero Joint TEMACOM 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 TEMACOM is reducing defects probability occurrence during manufacturing of aerospace parts by developing TEMACOM predictive software.

First Stage
First stage of the project just finished, consists 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.

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

 

 

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