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

On 03.03.2022 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

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.

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.

FAQ

You can reach the permanent room for all lectures here: https://tud.link/i8zf

The room will be accessible 5 minutes before the start of the lecture.

The participation is free for everyone.

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.