We're pleased to share with you the PDF presentation from our 29th January 2024 IDERPLANE research project dissemination webinar.

This document provides a comprehensive overview of the topics discussed, including key insights and findings from our latest research in the field.

Whether you attended the webinar and are looking for a recap or you missed the live session and want to catch up, this presentations will serve as a valuable resource. We hope you find it informative and helpful in understanding the scope and impact of the IDERPLANE project.




New insights about rolling contact fatigue (RCF) crack growth and its measurement.
Results from IDERPLANE Cleansky project.

On 29th January, we will hold a webinar presenting the results of the IDERPLANE Cleansky Project devoted to design of integrated bearing in planetary gears.

The webinar will consist in presentations about project results for technical and scientific communities.

Click here to register



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


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

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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