Pushing digital process optimization

The digitization of production is currently one of the most important fields of action in the area of auto body production and its related technologies, so that Germany’s businesses in which this sector is a central branch can secure future growth and employment.

The new research project “Machine Learning for the Prognosis of Process Parameters and Component Quality in Automotive Body Manufacturing” (ML@Karoprod) is funded by the Federal Ministry of Education and Research (BMBF).

Partners in the project include the Professorship of Artificial Intelligence (Prof. Dr. Fred Hamker), the Fraunhofer Institute for Machine Tools and Forming Technology IWU in Dresden (Dr. Mathias Jäckel) as well as Scale GmbH (Dr. Ingolf Lepenies).

The project focuses on model development and the application of machine learning (ML) techniques to accelerate the initial planning and serial setup in car body manufacturing. Chemnitz University of Technology will receive € 257 000 of the total funding of roughly € 1.2 million.

The Chemnitz University of Technology schedule follows three main phases: In the first phase, a forward model is trained in order to predict the consequences of an action with unsupervised learning.

In the second phase, this trained model will be used to accelerate the model-based Deep Reinforcement Learning Algorithm. Its task will be to find a sequence of production parameters that optimizes the quality of the final product.

In the third phase, the developed algorithm is tested on the real production system, in which its robustness against missing sensory information will be tested and evaluated.

For further information, please contact Prof. Dr. Fred Hamker, Chair of Artificial Intelligence, Tel. +49 371 531-37875, E-mail fred.hamker@informatik.tu-chemnitz.de

(Article: Matthias Fejes / Translation: Jeffrey Karnitz)

Prof. Dr. Fred Hamker, Chair of Artificial Intelligence, Tel. +49 371 531-37875, E-mail fred.hamker@informatik.tu-chemnitz.de

Media Contact

Matthias Fejes Technische Universität Chemnitz

More Information:

http://www.tu-chemnitz.de/

All latest news from the category: Awards Funding

Back to home

Comments (0)

Write a comment

Newest articles

First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes

Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…

Laser-based artificial neuron mimics nerve cell functions at lightning speed

With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…

Optimising the processing of plastic waste

Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…