UNIVERSITY OF STUTTGART ADVANCES QUALITY AND TRANSPARENCY IN FIBER-REINFORCED COMPOSITE MANUFACTURING

Institute of Aircraft Design (IFB) digitizes complex lightweight construction processes with a central, scalable data layer

Case Study Highlights

Greater Transparency, Quality and Scalability

Systematic collection of all machine, sensor and environmental data
Real-time analysis for experiments, prototypes and small series
End-to-end traceability for carbon, glass fiber and hybrid materials

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DATA SOURCES COLLECTED

Machines, sensors, environmental parameters, image & video data

TRANSPARENCY BOOST

100% process visibility enabled by a connected data layer

DATA-DRIVEN EXPERIMENT MANAGEMENT

Experiments can be started and managed directly via tablet

The biggest progress happens when research and industry work on the same data foundation.
With the IFB, we are building a unified Data Layer that makes complex lightweight construction processes transparent, efficient and scalable – from the first experiment to small series.
Peter Sorowka, CEO, Cybus

INDUSTRY

Aerospace & Lightweight Construction

EMPLOYEES

30+

PRODUCTION SITES

challenges

Complex fiber-reinforced composite processes remain opaque without connected data

Highly variable quantities and fluctuating process conditions
Significant manual work and limited standardization
No central view of process, material or environmental data

solution

A central data layer for transparent and scalable lightweight construction

Systematic collection and contextualization of all relevant process data
Flexible mapping of variable experiments and production environments
Real-time access to IT and OT data for analysis and quality assurance

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architecture

Scalable data architecture powered by shepard and Cybus Connectware

Cybus Connectware as the central OT/IT gateway for OPC UA, MQTT, REST, camera systems and diverse sensor interfaces
shepard as a multi-database system for time-series, metadata and contextual data
Integration of image and video data as well as environmental parameters (temperature, humidity, air pressure) for comprehensive process documentation

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Results

Higher quality, faster development, complete data transparency

Improved data quality

Systematic, automated acquisition of machine, sensor and environmental data increases the reliability of analyses.

Faster development cycles

Digital, data-driven experiment execution shortens process adjustments and accelerates research and prototyping.

Full traceability

All process and contextual data are centrally documented. Ideal for quality assurance, audits and CO₂ certification.

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Metal processing | Automotive | Machine and tool construction | Agricultural machinery

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