- Hits: 1717
Neural network segmentation methods for fatigue crack images obtained with X-ray tomography
We are proud to announce a new scientific paper derived from IDERPLANE project. Here below the paper information and open-access link.
Authors: XIAO Ce, BUFFIERE Jean-Yves
Partner involved: INSA LYON - MATEIS
Click here to reach Open Access Repository
Paper abstract:
Synchrotron X-ray tomography allows to observe fatigue crack propagation during in situ tests. Accurately segmenting the 3D shape of the cracks from the tomography image is essential for quantitative analysis. Fatigue cracks have small openings which result in low contrast images making crack segmentation difficult. Phase contrast available at synchrotron sources improves crack detection but it also increases the complexity of the image and human intervention is generally used to help traditional segmentation methods. In this work, an image segmentation method based on a convolutional neural network is developed to replace the user interpretation of images. Combined with a ’Hessian matrix’ filter, this method can successfully extract 3D shapes of internal fatigue cracks in metals.
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We are pleased to announce the publication of the paper:
Mode III threshold under Rolling Contact Fatigue and development of a test gearbox for planet gears
Rao, P.M., Foletti, S., Bonaiti, L. et al.
https://doi.org/10.1007/s10010-021-00562-y
Here below a short Abstract from SpringerLink
This paper is on the assessment for Mode III crack propagation under the influence of primarily Rolling Contact Fatigue (RCF) in integrated thin-rimmed planetary gears and its integrated bearings, and the design and development of a test gearbox for the full-scale testing of such a 3-gear train planet gears layout. It is in response to the ‘Innovative DEsign for Reliable PLANEt bearings’ (IDERPLANE) research project which will address the concern of high RCF in planetary gear bearings in the epicyclic modules of aerospace applications such as Geared turbofans (GTFs) and Main gearboxes (MGBs) in aircrafts. The project is part of the Clean Sky 2 Horizon 2020 call, and its consortium is headed by the Politecnico di Milano.
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Innovative DEsign for Reliable PLANEt bearings
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Start date = 1 November 2018
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End date = 31 October 2021
Programme(s)
Call for proposal
H2020-CS2-CFP07-2017-02
Funding Scheme- Hits: 2640
On November 19th 2018, @ Politecnico di Milano Via La Masa 1, the kick off meeting of IDERPLANE was held.
The main goal of the meeting was to officially start the project, establish relations between all partners and talk over the specific work that each participant is going to make in the following months.
