New wave of joint research projects launched

Industrial production, advanced materials, artificial intelligence for the industry of the future, industrial supply chains, and additive manufacturing – all these topics will be researched within the German-French Academy for the Industry of the Future. The Academy has now launched a new wave of ambitious joint research projects led by the Institut Mines-Télécom (IMT) and the Technical University of Munich (TUM).

Six projects to kick-off with joint research

After a workshop day in Paris in July between researchers from IMT and TUM, the Academy received promising research proposals on topics for the industry of the future. Six of them were successful and selected by a scientific jury: They will be funded by the Academy in order to powerfully kick-off with the initial start-up phase of the German-French platform.

Accelerating digital transformation

The main goal of the German-French Academy for the Industry of the Future is to support and accelerate the digital transformation of the French and German industrial fabric. With the new research projects, the German-French Academy is expanding its field of expertise and developing new solutions on strategic topics for the Industry of the Future. After the launch of the new projects, the Academy now covers a community of more than one hundred researchers from both countries and twenty industrial partners who cooperate in eleven research projects.

More about the new projects:

  • Alloy Design for Additive Manufacturing (ADAM)

    The project researches on new alloy compositions dedicated to Additive Manufacturing (AM) in order to improve the mechanical performance and the competitiveness of 3D printed products.
    led by Mines St-Etienne, PPM Department and TUM – Department of Mechanical Engineering

  • Smart Artificial Intelligence based Modeling and Automation of Networked Systems (AI4Performance)

    The project aims to develop a smart approach for performing tests of networked systems and thereby collecting meaningful data sets. By using the innovative machine learning method Graph Neural Network, the collected data will be processed.
    led by Télécom ParisTech, INFRES and TUM Department of Informatics

  • RDS Production: Modelling and Decision-Making Platform for Reconfigurable, Digitalized & Servitized Production Systems

    The objective of the project is to develop an innovative method for the design of reconfigurable production systems using digital production modules. The modules will integrate key aspects of the industry of the future such as interoperable production components and software solutions, artificial intelligence techniques and mathematical optimization, servitized life cycles for production equipment, and decision-making solutions.
    led by Mines Saint-Etienne, IMT Atlantique and TUM Department of Mechanical Engineering

  • Additive Manufacturing for Industry of the Future

    The project addresses the relationship between additive manufacturing technologies and the re-reorganization of contemporary industries including industrial re-organization, corporate re-organization, and re-organization of technology design and use.
    supported by Mines Saint-Etienne and TUM Center for Technology in Society (MCTS)