SciTransfer
GENEX · Project

Digital Twin System for Smarter Aircraft Composite Manufacturing and Maintenance

transportTestedTRL 5

Imagine having a perfect digital ghost of an airplane part that tracks its health from the moment it's made until it's recycled. It uses smart sensors and AI to spot cracks or wear and tear before they become dangerous. It's like having a medical record for a plane wing that tells mechanics exactly where to fix it using augmented reality glasses.

By the numbers
2.1%
Global aviation CO2 emissions share
19
Total consortium partners
8
Industry partners
The business problem

What needed solving

Aircraft composite parts are difficult to monitor for hidden damage and expensive to repair. Current manufacturing processes often lack real-time quality data, leading to waste and inefficient maintenance cycles.

The solution

What was built

A digital twin system including THz-spectroscopy for manufacturing, piezoresistive sensors for health monitoring, and AR-guided laser repair tools.

Audience

Who needs this

Aerospace OEMsMRO Service ProvidersCommercial AirlinesComposite Material Suppliers
Business applications

Who can put this to work

Aerospace Manufacturing
enterprise
Target: Aircraft Component Manufacturer

If you are a manufacturer dealing with waste and quality errors in composite parts — this project developed a THz-spectroscopy monitoring system and 3R resins that ensure flawless entry into service and easier recycling.

Aviation Maintenance
mid-size
Target: MRO (Maintenance, Repair, and Overhaul) Provider

If you are an MRO provider dealing with unreliable manual scarf repairs — this project developed augmented reality tools and laser-assisted cleaning that increase repair reliability and speed up virtual certification.

Airline Operations
enterprise
Target: Commercial Airline Operator

If you are an operator dealing with unexpected aircraft downtime — this project developed onboard piezoresistive sensor networks and AI for fatigue life prediction to allow continuous airworthiness.

Frequently asked

Quick answers

What is the cost or price of implementing this system?

Based on available project data, specific commercial pricing is not provided, though the EU contributed EUR 5,691,451 to the development phase.

Is this technology ready for industrial scale?

The project is developing demonstrators for three main systems, including THz-assisted manufacturing and repair tools, indicating it is moving toward industrial validation.

How is the IP and licensing handled?

Based on available project data, specific licensing terms are not listed, but the project involves a consortium of 19 partners including 8 industry players.

How does this integrate with existing aircraft data?

It uses a common IIoT platform to integrate data from manufacturing, onboard sensors, and repair tools for a bidirectional dataflow.

What is the timeline for deployment?

The project period runs from 2022-09-01 to 2026-02-28, suggesting the final validated tools will be ready by early 2026.

Consortium

Who built it

The project shows strong commercial intent with a 42% industry ratio, comprising 8 industrial partners and 5 SMEs across 9 countries. This mix of 7 research centers and 4 universities ensures that the high-tech AI and sensor developments are grounded in practical aerospace manufacturing and MRO requirements.

How to reach the team

Contact Instituto Tecnologico de Aragon

Next steps

Talk to the team behind this work.

Contact us to connect with the GENEX consortium for licensing the 3R resin or AI monitoring tools.

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