Beamish, S., Reddyhoff, T., Hunter, A. et al. (1 more author) (2022) A method to determine acoustic properties of solids and its application to measuring oil film thickness in bearing shells of unknown composition. Measurement, 195. 111176. ISSN 0263-2241
Abstract
Acoustic impedance is an important property used to interpret acoustic reflection measurements in tests to determine oil film thickness, a critical parameter dictating efficiency and wear rates of lubricated components. A new method to measure acoustic impedance of solid media, based on the well-established spring model, is described. The advantage of this method over existing techniques is that it can be applied to thin, multi-layered materials where individual reflections cannot be distinguished, common in many tribological systems such as bearings, piston rings and piston liners. The method is demonstrated experimentally for a range of materials. Results compare well with values calculated independently from acoustic velocity and density. The method has been applied to a bearing test rig to determine acoustic impedance of a thin-walled bearing. This study demonstrates that the technique is capable of measurements in dynamic systems and where traditional methods of calculating acoustic impedance are not feasible.
Metadata
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Copyright, Publisher and Additional Information: | © 2022 Elsevier Ltd. This is an author produced version of a paper subsequently published in Measurement. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | ||||||||
Keywords: | Ultrasound; Acoustic impedance; Bearings; Tribology; Acoustics; Oil film thickness measurement; Spring model; Phase | ||||||||
Dates: |
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Institution: | The University of Sheffield | ||||||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) | ||||||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||||||
Date Deposited: | 21 Apr 2022 11:05 | ||||||||
Last Modified: | 11 Apr 2023 00:13 | ||||||||
Status: | Published | ||||||||
Publisher: | Elsevier BV | ||||||||
Refereed: | Yes | ||||||||
Identification Number: | https://doi.org/10.1016/j.measurement.2022.111176 |
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