The PhD is hosted by the KU Leuven Noise and Vibration Research Group, which currently counts 90 researchers and is headed by Prof. Wim Desmet (https://www.kuleuven.be/wieiswie/en/person/00011973) and is part of the Mechanical Engineering Department, a vibrant environment of more than 300 researchers. The research group has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as well as on industrial fora. More information on the research group can be found on the website: https://www.mech.kuleuven.be/en/research/mod/about and our linkedIn page: https://www.linkedin.com/showcase/noise-&-vibration-research-group/.
ProjectThis PhD is part of an internal KU Leuven project that aims to provide novel solutions for digital twins of high-dynamic mechatronic systems by effectively combining measurements and models of the system. In operational environments, classical modelling methodologies typically do not allow to sufficiently accurately predict a range of dynamic phenomena, whereas pure measurement approaches are often too expensive to be broadly applicable. The project therefore focuses on merging these two approaches to provide new solutions for digital twins in high-dynamic mechatronic systems.
As a researcher within this project you will develop novel state estimation algorithms that allow to fuse dynamic measurement data together with model information. More in particular the focus will be on the integration of models of different subsystems in the estimation process. The developed scheme will not rely on an integration of these models into a single cosimulation model, but will rather leverage the fusing properties of the estimator to combine the different dynamic model responses. Particular focus will be on the extraction of data from higher order dynamic models, like structural finite-element and flexible multibody models.
ProfileIf you recognize yourself in the story below, then you have the profile that fits the project and the research group:
Offer
Interested?For more information please contact Prof. dr. Frank Naets, tel.: +32 16 37 26 93, mail: frank.naets@kuleuven.be or Mr. Bert Pluymers, tel.: +32 16 32 25 29, mail: bert.pluymers@kuleuven.be. You can apply for this job no later than November 15, 2020 via the
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