Digital twins can significantly enhance efficiency and quality in additive manufacturing. By systematically capturing and analyzing all relevant production data, they provide a comprehensive understanding of the entire manufacturing process. This includes the integration of sensors and the manual entry of non-automatable data to create a complete dataset.
Das Fraunhofer IAPT entwickelt digitale Zwillinge der Additiven Fertigungsketten. Mit diesen digitalen Abbildern lassen sich Prozesse datenbasiert vorhersagen, steuern und die Fertigungsqualität optimieren.
Zur Erfassung und Auswertung der Daten integrieren wir Sensoren, entwickeln Schnittstellen zu den Maschinen sowie die vollständige Dateninfrastruktur.
Digital Twin
A key advantage of the digital twin is the continuous and automated optimization of processes. Through data- and AI-driven simulations, end-users can make precise predictions and identify potential sources of error at an early stage. This leads to a significant increase in the stability and accuracy of the additively manufactured components.
In the BigDataLMD project, Fraunhofer IAPT is developing a data infrastructure with SINUMERIK Edge to capture machine parameters as well as process-related data through in-situ sensors. A product digital twin is then created in Siemens Insights Hub® to analyze data and identify critical influencing factors. From this, recommendations for action are derived to improve the stability of the powder-laser-DED process.
