Project description
A new vibration fatigue identification tool for electric vehicles
The decarbonisation of transport requires the design of lighter components for electric vehicles. However, a new vibration fatigue (VF) identification tool is needed to ensure safety requirements for these components. The EU-funded NOSTRADAMUS project will deliver a tool that will allow fast and non-contact damage identification caused by VF using a high speed (HS) camera. The project will develop a new method, the optical vibration fatigue damage identification (OptiViFa), based on the innovative extension of the recent scientific progress in HS camera measurements and modal-domain VF. NOSTRADAMUS will facilitate the optimisation of digital replicas of the actual products for the development of safer, lightweight, green and quiet products.
Objective
The decarbonisation of transport requires the design of lighter components for electric vehicles. To ensure that new components meet safety requirements in terms of their susceptibility to vibration fatigue (VF) and to facilitate shorter development times, a new VF identification tool is required. Nostradamus aims to deliver tool that will enable fast and non-contact damage identification caused by VF using the High-speed (HS) camera. Optimisation of digital replicas of the actual products (digital twins) will become easier, to deliver of Safer, Lightweight, Green and Quiet (SLGQ) products.
The primary objective is to develop a new method called the Optical vibration fatigue damage identification (OptiViFa). It will enable close to real-time identification of fatigue damage with high spatial density. This will be possible with a ground-breaking extension of the recent scientific progress in HS camera measurements and modal-domain VF. The research objectives are to: 1) identify material strain with a HS camera; this will be achieved through developing a new method for identification of strain mode-shapes using HS camera measurements. 2) Develop OptiViFa for VF identification; this will be achieved through experimental verification in the laboratory and industry via a secondment with a research and development SME within the car industry. 3) Implement OptiViFa as an open-source Python package, enabling other researchers to use and further develop the new methods from the on-line repository.
The training and development component of this fellowship will position the fellow at the forefront of research in HS image processing, and vibration fatigue. The inter-sectorial secondment will provide understanding of the crucial relationship between academic research and industry. The results will be open-science and open-source.
Finally, the proposal results will help EU industry in developing SLGQ products and citizens of the EU to have a safer, greener and quieter lifestyle.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciencessocial geographytransportelectric vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
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Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
1000 Ljubljana
Slovenia