At last: Wide-ranging uses of AI will be possible Let’s Talk Science shows how to make AI models more flexible

To this end, they make use of digital twins, that is, a precisely mapped digital image of a process. There is a great deal of technical and economic potential in such simulations, for they can be of assistance in the early recognition and compensation of deviations in quality. “Until now, however, AI models have been unable to respond to changing process conditions. They had to be re-trained, and were thereby naturally a huge drain on time, expertise, and money,” explains Marcel Wichmann, who will show in the Let’s Talk Science online seminar at 8.30 h on August 31, 2022 how small and medium-sized en-terprises will be increasingly able to benefit from AI in future. Wichmann is Head of the Production Systems Department of the Institute of Production En-gineering and Machine Tools at the Leibniz University Hannover.

Such learning AI models facilitate a so-called adaptive process control, in other words, ongoing adaptation of a process to changing conditions such as the occurrence of tool wear or errors during processing.

Wichmann demonstrates the use of digital twins based on concrete examples. In aerospace engineering, he highlights the example of an application for the regeneration of turbine blades. This application makes it possible to predict the outcome for a particular workpiece and to modify the process if necessary. This, in turn, improves the quality and safety of the component.

A further example demonstrates optimization in the grinding of tools. The fore-casts of the virtual tool twin are adjusted continuously on the basis of data feedback, and the process is constantly optimized. In practice, this results in fewer faulty workpieces and shorter run-in processes. The Hannover team also have the ambition of facilitating the imaging of entire production pro-cesses from the manufacturing and use of a component all the way to its qual-ity control. “Last but not least, our simulations will improve the productivity of the processes,” Wichmann emphasizes.

“Quite apart from that, in these times of shortages in skilled staff, we are giving companies the opportunity of creating a team with many virtually supported assistants who have access to the experience of older members of staff, and 

all of this in a group with an experienced employee and a number of assis-tants.”

Firm up your company for the future. Listen in and join in the conversation at Let’s Talk Science, the monthly EMO Hannover 2023 online seminar at 8.30 h on August 31, 2022.

Speaker

Marcel Wichmann, Research Assistant at the Institute of Production Engi-neering and Machine Tools (IFW) at the Leibniz University Hannover. As Head of the Production Systems Working Group, his research is concerned with pro-cess planning for autonomous and resource-efficient manufacturing.

World Media Group (WMG) News Service