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Sheffield tomography facility publishes its first research publication using Dragonfly

The newly established Sheffield Tomography Centre (STC) at the University of Sheffield just published its first scientific research paper in collaboration with first author Marius Monoranu from the Industrial Doctorate Centre (IDC) in Machining Science. The study involved the imaging of damage induced by cutting of carbon fibre reinforced polymers (CFRPs) with the epoxy matrix modified by addition of particle reinforcements, shedding some light on cutting damage in these materials and how to minimize this type of damage. The researchers used Dragonfly for 3D visualization of tomography data acquired using a ZEISS Versa X-ray microscope.

According to facility manager and staff scientist Dr Ria Mitchell, “Dragonfly is great for multi-user facilities like ours, it is so versatile for all types of research applications and free for academics so no problems for researchers to evaluate their data and continuing the work after visiting our facility”.

Video Presentation


Publication


Marius Monoranu, Ria L. Mitchell, Kevin Kerrigan, J. Patrick A. Fairclough, Hassan Ghadbeigi, The effect of particle reinforcements on chip formation and machining induced damage of modified epoxy carbon fibre reinforced polymers (CFRPs). Composites Part A: Applied Science and Manufacturing – Volume 154, March 2022, 106793 (https://doi.org/10.1016/j.compositesa.2021.106793).

Associated Research Lab


Sheffield Tomography Centre (STC)
(https://sites.google.com/sheffield.ac.uk/sheffieldtomographycentre/home)

Images


Composites fibre bundle segmentation demonstrated using deep learning – different bundles are assigned colors as shown.

Composites fibre bundle segmentation demonstrated using deep learning – different bundles are assigned colors as shown – fibre bundles digitally extracted from image data.

3D visualization of the failure location (fracture surface).

Keywords


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