Living Lab Lecture No. 8: Using Physics-Informed Machine Learning to Optimize 3D Printing Processes

On 3rd March 2022 at 11:00 am our 8th Living Lab Lecture will take place. This time Benjamin Uhrich will talk about "Using Physics-Informed Machine Learning to Optimize 3D Printing Processes".

The lecture focusses on the development of physics-informed neural networks for intelligent real-time modeling and simulation of temperature processes in additive manufacturing. The resulting digital twin can be used to efficiently predict component quality deficiencies and optimize 3D printing processes. In particular, cost and working time can be reduced.
Our ScaDS.AI scientific researcher Benjamin Uhrich explains how to use physics-informed machine learning to optimize the 3D printing process.

The Living Lab Lecture Series is free for everyone.
Language: English

To join the lecture please click here: Living Lab Lecture #8