Meet us at Fakuma

17 - 21 October 2023 in Friedrichshafen

1.000h

Extra lab work avoided

20%

Less damaged products

2 Mio.

Euro saved in replacements

30%

Less material costs per year

New production site at airbus hamburg with the integration of sensXPERT

Customer Success Story Aerospace: AIRBUS

The sky is the limit: Our cooperation with AIRBUS

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As we continue to move towards a world where our streets will see more and more electric vehicles, composite materials continue to move into the spotlight. Batteries in cars significantly contribute to the total weight and thus limit the driving range. This forces engineers to reduce weight of other components in the car. The lighter the vehicle, the longer can it run.

Composites are a preferred material as they can be adapted to a wide range of different applications. For electric vehicles (EVs), their durability, resistance to chemicals and corrosion and high performance at elevated temperatures are especially valuable.

sensXPERT contributes to the sensor-based process monitoring systemDuring production of a part with a complex geometry, all process steps are monitored continuously using a sensor network jointly developed with project partners which aims at assuring the required quality of the components in real-time.

– Grazia Vittadini, CTO AIRBUS

Leveraging machine learning for efficient high-volume production

The three-year CosiMo research project, funded by the Bavarian government, started in June 2018 and brings together the University of Augsburg (MRM & ISSE), the German Aerospace Center, ITA Augsburg and industrial partners including KUKA, Faurecia, Premium Aerotec, Krauss-Maffei, SGL-Carbon, NETZSCH, Siebenwurst and IBA.

As we continue to move towards a world where our streets will see more and more electric vehicles, composite materials continue to move into the spotlight. Batteries in cars significantly contribute to the total weight and thus limit the driving range.

Other headline

  1. Composites are a preferred material as they can be adapted to a wide range of different applications. For electric vehicles (EVs), their durability, resistance to chemicals and corrosion and high performance at elevated temperatures are especially valuable.
  2. The three-year CosiMo research project, funded by the Bavarian government, started in June 2018 and brings together the University of Augsburg (MRM & ISSE), the German Aerospace Center, ITA Augsburg and industrial partners including KUKA, Faurecia, Premium Aerotec, Krauss-Maffei, SGL-Carbon, NETZSCH, Siebenwurst and IBA.
  3. The objective is to manufacture components in their final shape in a single process step using the compression-RTM technology for the in-situ polymerization from ɛ-Caprolactam to polyamide 6. This, in turn, enables sustainable and cost-effective production of lightweight components in the automotive and aircraft construction industries.

This forces engineers to reduce weight of other components in the car. The lighter the vehicle, the longer can it run.

sensXPERT contributes to the sensor-based process monitoring systemDuring production of a part with a complex geometry, all process steps are monitored continuously using a sensor network jointly developed with project partners which aims at assuring the required quality of the components in real-time.

– Grazia Vittadini, CTO AIRBUS

Another interesting headline

As we continue to move towards a world where our streets will see more and more electric vehicles, composite materials continue to move into the spotlight. Batteries in cars significantly contribute to the total weight and thus limit the driving range. This forces engineers to reduce weight of other components in the car. The lighter the vehicle, the longer can it run.

Composites are a preferred material as they can be adapted to a wide range of different applications. For electric vehicles (EVs), their durability, resistance to chemicals and corrosion and high performance at elevated temperatures are especially valuable.

Industries we also work with

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Aviation

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Renewable Energy

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