Approval of EU funds for the project - (D2iP)

Project title:

“D2iP - Data acquisition and data management for innovation-oriented test bench measurement technology”

Brief description of the project:

This is project no. ZW7- 87019776. The project is funded by the European Regional Development Fund (ERDF) and the Lower Saxony state.

The object of funding is innovative data acquisition and data management for the experimental work of the TFD.

Test benches, data acquisition and evaluation are at the heart of application-oriented scientific research in mechanical engineering. The further development of processes and systems is based on this. At DEW, the Institute of Turbomachinery and Fluid Dynamics (TFD) operates a state-of-the-art technical test infrastructure for the investigation of thermal-mechanical energy conversion. A total of more than 10 test benches in the power classes 5 kW to 3 MW are operated at different locations and with different research partners.

A redundant, server-based storage solution for research data storage is also available to researchers at DEW, which is connected to a high-performance computing cluster, allowing the data for AI training methods to be used directly and without additional data transfer.

In order to maintain the quality and quantity of current research activities and the possible transfer of results to industry, measurement data acquisition and, in particular, measurement data management are of key importance in addition to the hardware requirements mentioned above.

The long-term safeguarding and provision of research data also contributes to the traceability and quality of scientific work and opens up important follow-up opportunities for further research.

The objective and subject of the application is data acquisition and data structuring for innovation-oriented test bench measurement technology, which meets the following key points and offers a high potential for innovation in the future:

• Quality-assured, traceable generation of experimental research data
• Structured storage of research data
• Database / exchange formats for numerical programs and data evaluation
• Direct connection of the server-based storage solution for high-performance connection to the CMG clusters for e.g. AI training methods or numerical evaluations
• Data storage / archiving in accordance with the DFG guidelines for handling research data