Dieter Weise focused on electromagnetic forming of metallic sheets. He explained that decreasing batch sizes poses a major challenge for companies. One example is the restoration of classic cars, for which there are hardly any spare parts left. In some cases, therefore, individually manufactured spare parts are required to restore the vehicle's flawless appearance. “The use of conventional forming techniques is unattractive here because of the high tooling costs. Also, in the automotive industry, conventional forming tools barely meet the necessary requirements due to increasing individualisation. Innovative manufacturing processes are therefore urgently needed. This is where electromagnetic forming comes in, for which considerably less complex tooling is required. Until now, however, it has not been possible to produce large components using this process,” explains Weise.
According to Weise, this issue should be remedied by the Czech-German project “SELF - Sequential Electromagnetic Forming”, which combines electromagnetic and incremental forming. “In this process, the sheet is gradually formed by multiple electromagnetic pulses, with the tool coil moving over the sheet step by step without any contact. Our scientists have now demonstrated the technological feasibility of this process combination in an industrial example. It has been shown that the process is very well suited for the production of large-area components. It has the advantage of low costs thanks to its versatile tooling, the possibility of using a wide range of materials, and the protection of the workpiece surface due to the non-contact application,” added Weise.
Tereza Paterová, a PhD student from the Department of Cybernetics and Biomedical Engineering, focused her presentation on machine learning for embedded systems. “Every year, machine learning is being applied in more and more scientific fields, including bioinformatics, medicine, and robotics. More specifically in embedded systems, which are an integral part of the products of these scientific fields. My research focuses on an environment monitoring device that exploits the control and predictive properties provided by machine learning approaches to increase its efficiency,” explained Paterová, who gained a lot of experience during her internship at the Fraunhofer Institute for Machine Tools and Forming Technology IWU, where she was able to participate in several research projects related to machine learning.
This academic year, the FIP Academy will hold a total of eight professional online seminars, the last one will take place on 1 June 2023. The aim is to bring together researchers from all the partner institutions involved (Fraunhofer Institute for Chemical Technology ICT, Fraunhofer Institute for Machine Tools and Forming Technology IWU and VSB - Technical University Ostrava), enabling them to present their activities and research results, while learning about the projects and scientific findings of their colleagues.
Webinars are held on the first Thursday of each month from 14:00 to 15:00. The language of discussion is English.
More information about the Fraunhofer Innovation Platform for Applied Artificial Intelligence for Materials and Manufacturing at the VSB - Technical University Ostrava can be found at https://www.vsb.cz/fip-ai/en.