Technologies
Are you looking for support in the sustainability analysis of your processes? Analyze them!
In times of climate change as well as the current shortage of raw materials and rising prices, the topic of sustainability is omnipresent in the plastics processing and using industry. Due to growing social demands and political requirements, the environmental impact of plastics and their products is increasingly coming into focus.
To the sustainability assessment
Services
Our further training offers
Products, technologies and work processes are subject to permanent change. Continuous qualification and training of employees is therefore an essential prerequisite for the success of your company. Further training in the field of plastics and plastics technology are the focal points of our portfolio. We have optimal conditions for effective training in theory and practice.
Find out now!
Education
Coming soon to KUZ
As a leading platform, the established conference offers innovation enthusiasts from the fields of processing, production, research and development the opportunity to exchange and jointly develop new ideas.
Find out more!
References
About us
This is us
Practice-oriented industrial research in plastics technology is the foundation of the KUZ's strategic orientation. In particular, intelligent and resource-saving processes provide a basis for sustainable innovations and solutions.
Learn more
Contact
- Contact
- You would like to contact us?
- Contact
- Contact persons
- Fairs & Conferences
- Approach
- Your stay in Leipzig
Stay overnight in Leipzig
Your seminar is taking place soon and you don't know where to stay? Then reserve a room with our cooperation partner IntercityHotel and benefit from discounts with the booking code: CINKUL.
Find out now!

Smart ultrasonic rivet assistant

AI connects – quality prediction in ultrasonic riveting

The aim of this project is the fundamental feasibility study of an AI-supported process for the automation and technological optimization of process parameters in ultrasonic riveting. It is to be investigated to what extent algorithms from the field of artificial intelligence and machine learning can be used to detect faulty settings and correct them if necessary. This will enable reliable predictions on the quality of the ultrasonic riveting process.

Duration: 03/2020 - 08/2022

Contact

Tino Jahnke
+49 341 4941-753
jahnkenoSpam@kuz-leipzig.de

Funded by: Federal Ministry for Economic Affairs and Energy
FKZ: 49VF190055