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Quantifying the surface damage of involute gear flanks independent of the gear datum axis

Lookup NU author(s): Tom ReavieORCiD, Dr Robert FrazerORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Surface damage on involute gear tooth flanks can develop during the operation of a gearbox andaffects their life, durability and efficiency. Understanding the extent and severity of this damageis critical, especially in long life applications such as wind turbines where gearboxes are acritical component that incur high down time and costs for replacement. Accessing gears inservice is difficult and relating gear form measurements to the gear datum is often impossiblewithout its removal. Additionally, damage measurements are typically not areal, which can missthe most severe areas, or require lengthy measurement times. This paper describes a method forcharacterising and quantifying localised damage relative to the undamaged tooth surfaceindependent of the gear datum axis, and provides a method to estimate the damage locationusing involute co-ordinates. By taking soft replicas of the gear flank and measuring them withoptical methods, the damage is characterised. This method allows for the areal evaluation ofdamage that relates to involute coordinates, which can be combined with nominal data ormeasurements after manufacture to create data sets for simulation in tooth contact analysismodels, used to train condition monitoring models or for improved maintenance programmingto improve reliability and reduce costly downtime.


Publication metadata

Author(s): Reavie T, Frazer R

Publication type: Article

Publication status: Published

Journal: Measurement Science and Technology

Year: 2024

Volume: 35

Issue: 11

Print publication date: 01/11/2024

Online publication date: 14/08/2024

Acceptance date: 30/07/2024

Date deposited: 10/12/2024

ISSN (print): 0957-0233

ISSN (electronic): 1361-6501

Publisher: IOP Publishing

URL: https://doi.org/10.1088/1361-6501/ad6929

DOI: 10.1088/1361-6501/ad6929

Data Access Statement: All data that support the findings of this study are included within the article (and any supplementary files).


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Funding

Funder referenceFunder name
EMPIR programme
European Union Horizon 2020

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