Contact
cross dimensional manufacturing

AMalytik

Waste reduction using the AI-based analysis of quality-related data to develop an environmentally friendly and resource-efficient way to additively manufacture safety-relevant aerospace components

PROGRAMME:
Waste reduction using the AI-based analysis of quality-related data to develop an environmentally friendly and resource-efficient way to additively manufacture safety-relevant aerospace components

AWARDING AUTHORITY:
Federal Ministry for Economic Affairs and Climate Action (BMWK)

LEAD PARTNER:
Bavarian Research Foundation (BFS)

PERIOD:
January 2023 to December 2025

PARTNERS:

  • FTT Deutschland GmbH
  • GE Additive
  • RWTH Aachen
  • Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

Initial Situation:

Additive manufacturing has huge potential as a means of producing highly complex customised components. The (safety) requirements of these components vary depending on where they are to be used and their purpose. Efficient and reliable quality assurance is indispensable even during small-scale production runs. The objective of this research project is to make the aerospace industry more environmentally friendly by using a digital, smart quality analysis method along the entire process chain to reduce waste and conserve resources.

Goals:

The aim is to develop an innovative system for performing digital quality assurance during production. By implementing this system into the existing process chain, the goal is to make the production of additively manufactured aerospace components more environmentally friendly and sustainable. The system should involve the data capture and AI-driven analysis of factors influencing quality-related process data. This will allow insights to be gained into interrelationships during the process and into the influence of input and disturbance variables in order to optimise and guarantee quality. As a result, it will be possible to make interventions in the manufacturing process at an early stage and to reduce lead and development times by at least 50% and scrap rates by at least 30%.

Process:

The AMalytik project is divided into six work packages, each of which is overseen by one of the consortium partners. toolcraft is largely responsible for the physical implementation (main work package 1), the aim of which is to develop a suitable test piece and to capture data to create a reliable database. The next package focuses on the quality assurance of the process, which includes the process-oriented analysis of the demonstrator components. Real-time process technology is being developed as part of the "In-situ process monitoring" work package, which begins with the analysis of the manufactured test pieces. The fourth main work package concentrates on digital connectivity and entails the definition of a descriptive model for data sources and data users as well as the creation of model-compliant interfaces. The "Quality data processing" work package involves the development of a quality data model and initial investigations into the conceptual design of AI methods. The project concludes with the validation of the AMalytik workflow.

Awarding Authority

 

Lead Partner

 

Your Pace makers for high-end Precision Parts

As your research and development partner, we can help you explore new avenues of business and market opportunities. Find out more about cross-dimensional manufacturing, our unique consulting and manufacturing standard Cross-Dimensional Manufacturing!

Challenge us to help you with your projects today!

Send EnquirY

Phone +49 9172 6956-0

Markus Langer

Digital Transformation / Research and Technology Promotion