DFG Launches New Priority Programme on Data-driven Process Modelling for Forming Technologies

3-year grants to support interdisciplinary, collaborative research that brings together researchers with expertise in forming technologies, data sciences, AI and automation.

In March 2022, the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) established the Priority Programme ‘Data-driven Process Modelling for Forming Technologies’ (SPP 2422). The programme is designed to run for six years and comprises two funding periods of three years each.

The aim of the Priority Programme is the development of novel methods that combine the implicit knowledge from forming systems with expert knowledge and Finite Element process simulations. This includes the expansion of existing modelling approaches by bringing together heterogenic, real-world forming system data from sensors with formalised knowledge and existing and novel methods in automation and the data sciences.

Projects should ideally bring together partners from the field of forming technology with partners from automation, data sciences or artificial intelligence (AI) methods.

The first funding period will focus on developing the technical-experimental conditions for single and multi-stage forming processes with cyclic stress patterns on active tool surfaces which allow for the digitisation of the forming process. The second funding period will then focus on training models that were developed in the initial phase to explain relationships as well as improve forming tools for sheet metal and solid forming.

The programme is divided into the following research areas:

  1. Digital, data-based representation of forming operations.
  2. Automation of information-technical methods within the process.
  3. Improved and interpretable modelling.

Projects within the Priority Programme must address at least two of these research areas and must bring together partners from at least two different research organisations.

Eligible to apply are researchers who work in Germany, or at a German research institution abroad, and who have completed their academic training (usually with a doctorate). In justified cases, the participation of researchers based outside Germany is also possible.

Funding is available for a period of three years and covers project-related costs such as personnel, materials and instrumentation.

The deadline for the submission of project proposals is 28 September 2022.

(This report was the subject of a RESEARCHconnect Newsflash.)