2024

61 to 66 of 68

07MAR 2024
Panorama
KoPra students develop autonomous biathlon vehicles
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 February 7, 2024, four different teams – with four completely […]
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04MAR 2024
Panorama
Fire extinguisher training for KTmfk employees
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 […]
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16FEB 2024
Research
Utilization of MBSE System Models Published in Design Science Journal
The use of system models in the context of model-based system engineering (MBSE) is essential for improved communication and system documentation. However, publications in recent years show that efforts are also being made to reuse these system models e.g., by converting them directly into discipline-specific models. Researchers at the KTmfk have investigated this form of […]
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07FEB 2024
Research
Participation in the 24th International Colloquium Tribology 2024
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 Rothammer, who held presentations entitled “Modeling of shape deviations for the […]
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05FEB 2024
Research
Efficient fatigue testing by using neural networks
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 study focuses on the material PBT GF30. The research strategically pinpoints areas of high model […]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 study focuses on the material PBT GF30. The research strategically pinpoints areas of high model […]
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16JAN 2024
Research
New method for integrating data-driven methods into product development
Small and medium-sized enterprises (SMEs) face the challenge of optimising their development processes through the use of data-driven methods. These methods can lead to more efficient and higher quality product development. PADDME (Process Analysis for Digital Development in Mechanical Engineering) is presented in the latest KTmfk publication. PADDME enables a detailed analysis of current development […]Small and medium-sized enterprises (SMEs) face the challenge of optimising their development processes through the use of data-driven methods. These methods can lead to more efficient and higher quality product development. PADDME (Process Analysis for Digital Development in Mechanical Engineering) is presented in the latest KTmfk publication. PADDME enables a detailed analysis of current development […]
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