Projects at a glance

The goal in the research project "CAMStylus – Development of an AI-supported virtual reality solution for the intuitive operation of computer-aided manufacturing systems" is to significantly improve the intuitiveness of tool path planning in the software and thus make it easier: In the future, CAM programmers will be able to create tool paths using gestures. To this end, the project partners are developing a virtual reality application that allows CAM systems to be used more intuitively, as well as a neural network that is trained with images of hand movements so that it finds the correct parameters for optimal tool paths.

The goal of the research project "KI4ToolPath - Geometry Assisted Classification of Process States for Path Planning Support the WAAM Process " is a fully digital process planning for Wire Arc Additive Manufacturing (WAAM). Process errors are detected and compensated for by machine learning already during path planning. The project mainly focuses on implementing interfaces between the software and hardware components for data acquisition, forwarding and processing.

The object of the OPTICS48 research project is to develop a new technology chain that will significantly accelerate the manufacture of complex optics made of glass: Our goal: optics production within 48 hours!

The aim of the project is to develop an "active interface system" on the inside of artificial hearts and heart support systems in order to increase the biocompatibility of these systems. As a partner of the Machine Tool Laboratory WZL at RWTH Aachen University, the Fraunhofer IPT is producing thrombophobic surfaces to prevent clots. For this purpose, periodic micro- and nanostructures are introduced into the titanium surfaces of the interfacial system by means of laser processing.

As part of 5G NAMICO, the Fraunhofer IPT is developing a 5G network that can cope with the adverse conditions in construction and mining and in-crease occupational safety.

The aim of the "DATARAMP" research project is to develop a comprehensive digital process chain for 5-axis milling of thin-walled components based on manufacturing and quality data.

The HyInnoCells project is part of the Future Cluster Hydrogen and researches the flexible production of electrochemical cells. The aim of the project is to research a process route for the production and coating of and coating of porous transport structures, which requirements during electrolysis and thus ensure high activity and long-term stability. high activity and long-term stability.

The aim of the "dynaTWIN" research project is to develop a data-driven simulation module in which the variable dynamic properties of the manufacturing system are taken into account so that a highly productive milling process for engine components is enabled.

The aim of the BMBF-funded project "AI-gent3D – AI-supported generative 3D printing" is to improve the efficiency of the FDM process for manufacturing components made of PEEK by using artificial intelligence. In the project, the partners are developing a procedure for automated linking and processing of the different data sources and data types for polymer 3D printing.

The aim of the BMWK-funded consortium project "value chAIn" is to develop a cross-value chain error management based on intelligent data-based decision support systems. The system is intended to enable manufacturing companies, in the project group focused on the commercial vehicle industry, to improve development and production processes and to optimize the performance and availability of their products.