Using Physics-Informed Machine Learning to Optimize 3D Printing Processes

On the 3-March-2022 at 11:00 a.m. the eighth lecture of the Living Lab lecture series took place. In this talk, ScaDS.AI scientific researcher Benjamin Uhrich explained to the audience how to use physics-informed machine learning to optimize 3D printing processes. Add this event to your calendar (iCal).

Using Physics-Informed Machine Learning to Optimize 3D Printing Processes

The lecture focused 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.

You can rewatch this lecture on YouTube.

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Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

Find out more about our Living Lab Lecture Series.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut