In times of global crises such as the current Corona pandemic, companies from all industries experience supply bottlenecks. These affect the procurement of spare parts, purchased parts, or prototypes. A breakdown in the supply chain hits small and medium-sized enterprises (SMEs) particularly hard. They usually have a smaller product portfolio than large companies and find it difficult to switch to alternative supply chains.
This research project supports SMEs in particular by digitalizing production processes to build resilience and bridge supply chain interruptions with generative manufacturing. There are two main challenges to manufacturing a successful product using 3D printing:
To generate a design suitable for 3D printing, artificial intelligence (AI) is used to exploit the experience already gained at Trier University of Applied Sciences, Birkenfeld site, through Design of Experiment (DoE) in the field of component design for generative manufacturing. The required geometries are generated using 3D scanning or parametric design. Furthermore, exemplary optimization potentials concerning, for example, weight savings are carried out with topology optimization on the digital twin of the component.
To control printing to optimum process parameters, a 3D printer is equipped with additional sensors for recording temperature, vibrations, humidity, etc., and the data is recorded. Furthermore, remote access to the printer will be integrated to reduce the need for on-site personnel through remote control.
The necessary failure parts of the companies consist of a wide variety of materials. To demonstrate the potentials of digital product optimization and additive manufacturing, exemplary spare parts are digitized and produced with different printing processes and materials (metals, plastics, fiber-reinforced plastics).
|Duration||01.11.2020 - 31.10.2021|
|Supported by||Ministerium für Wissenschaft, Weiterbildung und Kultur Rheinland-Pfalz|
|Funding amount||92500 €|
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