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Damage detection in high performance gears using a magnetoelastic sensor to measure rate of change of torque

Clarke, Alastair ORCID: https://orcid.org/0000-0002-3603-6000, Cahill, Ben, Pullin, Rhys ORCID: https://orcid.org/0000-0002-2853-6099 and Holford, Karen ORCID: https://orcid.org/0000-0002-3239-4660 2018. Damage detection in high performance gears using a magnetoelastic sensor to measure rate of change of torque. Presented at: Leeds-Lyon Symposium on Tribology, Leeds, 4-7 September 2018.

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Abstract

The detection of damage in gear systems remains a challenging area of research, with much research effort directed towards the application of techniques including vibration and acoustic emission to detect a range of failures such as micropitting and tooth root fatigue failure. This paper presents the results of series of experiments designed to investigate the applicability of magnetoelastic sensing technology to the detection of damage in high performance spur gears. This sensing technology is relatively well established for the non-contact measurement of torque in shafts and has more recently been extended to provide a signal which is directly proportional to the rate of change (RoC) of torque in the magnetised component. The technology was fitted to a high speed (up to 15000 rpm) back-to-back gear pair test rig specially developed for this investigation. Gear pairs with a range of damage levels (essentially bent teeth of up to 20 microns deviation from involute, representative of damage caused by transient overloads) were compared to non-damaged gears in order to establish the link between signal characteristics and damage. A range of signal processing techniques and metrics are used to characterise the signal produced by both healthy and damaged gears. The RoC monitoring technique is demonstrated to have the potential to detect very minor levels of tooth damage with high accuracy.

Item Type: Conference or Workshop Item (Paper)
Status: Unpublished
Schools: Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
Last Modified: 05 Jan 2024 06:07
URI: https://orca.cardiff.ac.uk/id/eprint/115519

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