The German company Weber additive is working on solutions for more efficient 3D printing of large components. According to a press release, the company is working with the Technical University of Braunschweig to optimize the Fused Granular Fabrication (FGF) process.
This 3D printing process uses granulated plastic instead of filaments. According to Weber additive, FGF has major advantages in terms of material costs and availability. However, there is still room for improvement in terms of process stability.
In a funded project, the developers therefore want to optimize FGF using artificial intelligence methods. The aim is to make parts production more efficient and reproducible. Machine learning is to be used to better control extrusion, for example.
Process monitoring should also ensure greater stability. Weber additive hopes that this will lead to fewer faulty parts and higher productivity in large series printing. In the long term, the aim is to establish FGF as an alternative to filament-based 3D printing.
The project is being funded by the German Federal Ministry of Economics and Technology and is being carried out in cooperation with the TU Braunschweig. Weber additive aims to make the production of large parts more attractive, especially for medium-sized users.