3D images of fatigue crack obtained by laboratory tomography and synchrotron tomography within bi-disc specimens are now available on Zenodo !

IDERPLANE deliverable D2.2 is now available in our document section !

Check it out at this link .  

Deliverable abstract:

This report summarizes the work done by Brescia University (Prof. A. Mazzu) and INSA Lyon (Prof. J-Y Buffiere and Dr C. Xiao) within the project IDERPLANE to characterize in 3D the formation of sub surface cracks during rolling contact fatigue tests performed using a bi-disk test configuration. To foster crack initiation, two cylindrical artificial defects with various depth and diameters were machined on the rolling track. Two materials conditions (heat treated and untreated) and various normal pressure P were investigated. The tests were stopped when a spall on the rolling track was detected or when a given number of cycles was reached (10^6 or 10^7 ). Thin slabs containing the surface of the disk close to the defects were cut from the disks and characterized using X-Ray tomography. Two types of X-ray sources were used: laboratory source, synchrotron source. The crack size was measured for each specimen at the bottom of the hole along two orthogonal directions. The 3D reconstructed images are available at https://doi.org/10.5281/zenodo.6351387


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.




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.


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.

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.



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