MoDeClear: Multibody System Dynamics Methods for the Detection and Monitoring of Clearances in Industrial Machinery

MODECLEAR is a research initiative aimed at providing a solid knowledge background and methodological approaches for the modelling and detection of undesired mechanical clearances in industrial machinery.

The project started in 2023 at the Mechanical Engineering Laboratory (Laboratorio de Ingeniería Mecánica - LIM) of University of A Coruña (Spain). Researchers from Ikerlan are collaborating in its tasks. Additional collaborations have also been established with researchers from LUT University (Finland), Warsaw University of Technology (Poland) and Kyung Hee University (Korea).

Publications

The project results have been published in the following open access journal articles.

The research has also been presented in international and national conferences:

• Interface models for the simulation of mechanical clearances
  F. González, A. J. Rodríguez, E. Sanjurjo, M. A. Naya.
  ECCOMAS Thematic Conference on Multibody Dynamics 2025. Paper 131, book of abstracts, p. 55. Innsbruck, Austria, July 2025.
• Detection of mechanical clearances with data-driven approaches
  V. Nguyen, A. J. Rodríguez, G. Orzechowski, A. Mikkola, J-G. Kim, F. González.
  ECCOMAS Thematic Conference on Multibody Dynamics 2025. Paper 200, book of abstracts, p. 79. Innsbruck, Austria, July 2025.
• A novel Kalman filter approach for clearances estimation
  A. J. Rodríguez, E. Sanjurjo, M. López-Lombardero, M. Cabello, F. González, M. A. Naya.
  ECCOMAS Thematic Conference on Multibody Dynamics 2025. Paper 202, book of abstracts, p. 80. Innsbruck, Austria, July 2025.
• Desarrollo de filtros de Kalman para monitorización de holguras en maquinaria industrial (in Spanish)
  A. J. Rodríguez, E. Sanjurjo, M. Cabello, M. López-Lombardero, F. González, M. Á. Naya.
  XXV Congreso Nacional de Ingeniería Mecánica. Santander, Spain, June 2025.
• Data-driven prediction of subsystem dynamics for explicit co-simulation
  M. Pikuliński, P. Malczyk, A. J. Rodríguez, F. González.
  Perspectives of Multibody Systems towards Data-Based Methods and AI Symposium. Innsbruck, Austria, February 2025.
• Data-driven model for clearance detection using neural networks
  V. Nguyen, A. J. Rodríguez, G. Orzechowski, A. Mikkola, J-G. Kim, F. González.
  Digital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science (DTE-AICOMAS). Paris, France, February 2025.
• Inferring subsystem dynamics from data in explicit co-simulation of mechanical systems
  M. Pikulinski, P. Malczyk, A. J. Rodríguez, F. González.
  The 7^th Joint International Conference on Multibody System Dynamics. Madison, WI, USA, June 2024.
• Development of Kalman filter approaches for the monitoring of mechanical clearances
  A. J. Rodríguez, E. Sanjurjo, M. Cabello, M. López-Lombardero, P. Díaz, F. González, M. Á. Naya.
  Mechanism and Machine Theory Symposium. Guimarães, Portugal, June 2024.

Data

The treatment of the data obtained during the execution of MoDeClear is detailed in the Data Management Plan (DMP) of the project.