Issue: Artificial Intelligence

From the physical object to the point cloud and finally the CAD model – reverse engineering means a great deal of work. A team from Fraunhofer IPK aims to change that with an AI solution.

With simulation models, products can be better analyzed and developments predicted. A research team has developed an AI-based decision support system which increases proess efficiency.

Data evaluation methods are omnipresent in our daily lives. They also provide compelling solutions to problems during manufacturing and assembly, as demonstrated by a pilot project with Rolls Royce in Germany.

When it comes to maintenance, repair and overhaul (MRO), mobile decision support applications are all the rage. With the help of AI, they are becoming more flexible – and more predictive.

Our interviewees explore how manufacturing companies can reduce their energy consumption with the aid of machine learning.

Each year, up to seven percent of all end-of-life parts are discarded instead of being reprocessed for remanufacturing. An AI-based decision support system aims to make the identification of end-of-life parts more robust and profitable.

To use digital twins profitably, manufacturing companies need to know how to network them.

A new pilot plant allows companies to test complex automation processes safely and cost-effectively.

The »Flex Q-Hub« aims to make delivery traffic smarter, more sustainable, and more neighborhood-oriented.

Modern additive processes require highly efficient quality assurance methods. Could neural networks be the key?