On May 14 and 15, 2024, the Dresden Machine Elements Colloquium (DMK 2024) opens its doors to present the latest achievements in machine elements, drive technology, sensor technology, and artificial intelligence. Special attention is paid to the combination of traditional machine elements with state-of-the-art sensor technology to form so-called “sensor-integrated machine elements.”
core sensing will also be present to demonstrate how a roll forming machine is analyzed using a methodical approach to select the right machine elements and further develop them into sensor-integrated machine elements.
DMK 2024: Advanced Approaches and Potential of the Fusion of Machine Elements and Sensor Technology”
DMK 2024 offers an excellent opportunity to learn about the most advanced approaches significantly influencing the industry. From the integration of intelligent sensors to increase efficiency to the diverse possibilities that digitalization offers for optimizing production processes and developing intelligent machines, exciting perspectives emerge. With 48 presentations from the field of machine elements and drive technology, the conference program promises a wide range of offerings from industry and science. Both proven solutions and the latest developments will be presented and discussed across industries and disciplines to provide valuable impulses to all participants.
The fusion of machine elements and sensor technology holds enormous potential for the future of industry. Through the intelligent integration of sensor technology, machines can not only operate more efficiently but also act more predictively and autonomously. This leads to an increase in productivity and quality in various industries and enables innovative solutions for future challenges.
Innovative Concept for Optimizing Machine Elements: Load Path and Node Model in Focus of the Presentation by core sensing, Dreistern, and Elbe & Elso at the Dresden Machine Elements Colloquium
Our colleague Dr. Sven Vogel will, together with our partner Patryk Pika from Elso Elbe GmbH & Co. KG, and Prof. Dr. Tilman Traub, formerly with Dreistern GmbH & Co. KG, give the presentation on “Selection and Development of Sensor-Integrated Machine Elements using Load Path and Node Models.” The application of this model for the further development of machine elements will be explained in detail, and the associated advantages will be highlighted. In particular, using the example of a roll forming machine, the load path and node model will be presented for evaluating substitute variables in the product development of mechatronic systems. The presentation promises deep insights into innovative approaches in the implementation of digitalization and optimization of systems and their practical application. The speakers will also present the jointly developed innovative sensor-integrated universal joint shaft.
Contribution: Development of sensor-integrated machine elements using load path and node models
Sensor-integrated machine elements enable more precise process monitoring, faster commissioning, and reduce dependence on operator knowledge.
