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The Research center presented an innovative method to improve the dynamic identification of productive equipment at the ISMA 2024 International Conference.
IDEKO also showcased a case study on robotic milling developed in collaboration with the Faculty of Mechanical Engineering at the University of Budapest.
The research work to limit noise and vibrations in machine tools of the engineers of Dynamics and Control at IDEKO was highlighted at the ISMA 2024 International Conference, held in Leuven (Belgium) on September 9, 10 and 11.
On the one hand, IDEKO researcher Álex Iglesias presented the scientific work "Analysis of variability in machine tool dynamics through enhanced SMFE method", which proposes technical advances in the structural excitation method through milling force (SMFE) to improve the dynamic characterization of milling machines. Machine tool dynamics are highly affected by non-linear effects. The complex structure of machine tools, composed of multiple interfaces, together with the machine translation, rotation and cutting process related non-linearities, alter system dynamics in a significant way. This effect can greatly affect dynamic behavior simulation, such as cutting process stability prediction.
The study is also signed by members of IDEKO Dynamics and Control research group Oier Franco, Xavier Beudaert, Markel Sanz-Calle and Jokin Muñoa.
On the other hand, Andras Bartfai, a researcher at the Faculty of Mechanical Engineering at the University of Budapest (Hungary), exhibited the case study carried out in collaboration with IDEKO researchers Iñaki Laka and Jokin Muñoa. Specifically, the scientific work "Experimental study of low frequency chatter vibrations in robotic milling" serves as a proof of concept to experimentally demonstrate the possibility of predicting the typical low-frequency chatter vibrations that appear in robotic milling.
The ISMA 2024 International Conference on Noise and Vibration Engineering, organized by the Department of Mechanical Engineering at KU Leuven University, offered engineers, researchers, and other industrial professionals a space to discover the latest advances in the fields of modeling, analysis, testing, and improvement of noise and vibration characteristics of mechanical and mechatronic systems. The forum combined expertise in the mentioned fields with developments in new paradigms such as digital twins or Artificial Intelligence and their integration into the industry.
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