KTmfk

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At the Chair of Engineering Design, we research, improve and validate new processes, methods and tools to support demanding development- and design activities. We are active in the fields of virtual product development and design methodology, machine elements and tribology as well as lightweight design. Through our research and teaching activities, we create the foundation for innovative, new or optimized products and thus contribute to maintaining and strengthening the industrial base in Europe. We would like to invite you to learn more about us during your stay on our website!

News – Categories

Marc Behringer joined the Digital Engineering department as a research assistant at the beginning of February. Prior to that, he studied in the master's program in mechatronics with a focus on design and embedded systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg. He also wrote his mas...

Category: People

During this year's design project course (KoPra), the challenge for the students was to develop an autonomous biathlon vehicle that is driven with the help of a microcontroller. The students' vehicles had to complete the biathlon race autonomously, which was complicated by additional obstacles. On ...

Category: Panorama

What to do in the event of a fire? Reporting a fire and protecting everyone is, of course, an absolute priority. If everyone is safe and there is no major risk to themselves, it is possible to fight the fire independently in the initial phase. In this way, any damage caused can be limited and your o...

Category: Panorama

The 24th International Colloquium Tribology took place from January 23 to 25 in Ostfildern. In 130 presentations and numerous plenary lectures, national and international research results on a wide range of tribology topics were presented. The KTmfk was represented by Klara Feile and Benedict Rotham...

Category: Research

KTmfk researchers Christian Witzgall and Sandro Wartzack, in collaboration with visiting professor Moh'd Sami Ashhab, present a novel strategy for fatigue testing of short fibre reinforced thermoplastics in the journal Materials. Using adaptive sampling and artificial neural networks (ANNs), the stu...

Category: Research
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