MaTiC-M
The aim of the project is to develop a holistic approach to a design-for-circularity methodology, bringing together expertise from a wide range of DLR institutes. For a more detailed general project description, please refer to the website of the lead Institute of Low-Carbon Industrial Processes.
In the Data Management and Enrichment department of the Institute of Data Science, the main work package "Digital Methods and Tools" is managed and also implemented to a significant extent. In this main work package we pursue the following goals:
- Build a knowledge graph to share all information relevant to the product life cycle and recycling.
- Develop methods and tools to enable domain experts to easily store their knowledge in such knowledge graphs.
- Develop methods and tools for component tracking (provenance) based on the information in the knowledge graph.
- Develop methods and tools for automated assessment of recycling routes, so that products can be designed to be as recycling-friendly as possible at the design stage.
The second point in particular will be developed completely generically, so that the results can also be used directly outside the project. The work on provenance and on automated decision support will also be generalised beyond the project - although they will first be evaluated on the data and use cases in the project.
We plan to publish the results achieved in the form of papers and software.
Project runtime: 01/2023 - 12/2025
Funder: DLR